Thursday, January 04, 2024

"Learning Low-Rank Latent Mesoscale Structures in Networks"

One of my papers came out in final form today. Here are some details.

Title: Learning Low-Rank Latent Mesoscale Structures in Networks

Authors: Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, and Mason A. Porter

Abstract: Researchers in many fields use networks to represent interactions between entities in complex systems. To study the large-scale behavior of complex systems, it is useful to examine mesoscale structures in networks as building blocks that influence such behavior. In this paper, we present an approach to describe low-rank mesoscale structures in networks. We find that many real-world networks possess a small set of latent motifs that effectively approximate most subgraphs at a fixed mesoscale. Such low-rank mesoscale structures allow one to reconstruct networks by approximating subgraphs of a network using combinations of latent motifs. Employing subgraph sampling and nonnegative matrix factorization enables the discovery of these latent motifs. The ability to encode and reconstruct networks using a small set of latent motifs has many applications in network analysis, including network comparison, network denoising, and edge inference.

Tuesday, January 02, 2024

Thursday, December 21, 2023

Dodgers Sign Pitcher Yoshinobu Yamamoto!

The Dodgers have signed star pitcher Yoshinobu Yamamoto, who is joining the Majors from Japan. Now we have our ace starting pitcher!

This follows on our recent trade for pitcher Tyler Glasnow and our signing of free agent Shohei Ohtani.

What the Dodgers do is Moneyball with money.

Monday, December 18, 2023

"Human-Network Regions as Effective Geographic Units for Disease Mitigation"

Another of my papers just came out in final form. Here are some details.

Title: "Human-Network Regions as Effective Geographic Units for Disease Mitigation"

Authors: Clio Andris, Caglar Koylu, and Mason A. Porter

Abstract: Susceptibility to infectious diseases such as COVID-19 depends on how those diseases spread. Many studies have examined the decrease in COVID-19 spread due to reduction in travel. However, less is known about how much functional geographic regions, which capture natural movements and social interactions, limit the spread of COVID-19. To determine boundaries between functional regions, we apply community-detection algorithms to large networks of mobility and social-media connections to construct geographic regions that reflect natural human movement and relationships at the county level in the coterminous United States. We measure COVID-19 case counts, case rates, and case-rate variations across adjacent counties and examine how often COVID-19 crosses the boundaries of these functional regions. We find that regions that we construct using GPS-trace networks and especially commute networks have the lowest COVID-19 case rates along the boundaries, so these regions may reflect natural partitions in COVID-19 transmission. Conversely, regions that we construct from geolocated Facebook friendships and Twitter connections yield less effective partitions. Our analysis reveals that regions that are derived from movement flows are more appropriate geographic units than states for making policy decisions about opening areas for activity, assessing vulnerability of populations, and allocating resources. Our insights are also relevant for policy decisions and public messaging in future emergency situations.

Saturday, December 16, 2023

2023 Hank Aaron Awards

The 2023 Hank Aaron Awards for the best offensive player in each league have been awarded to Shohei Ohtani (formerly of the Angels and now of the Dodgers) and Ronald Acuña, Jr. (of the Braves).

Tuesday, December 12, 2023

"Low-Dimensional Behavior of a Kuramoto Model with Inertia and Hebbian Learning"

A paper of mine just came out in final form. Here are some details.

Title: Low-Dimensional Behavior of a Kuramoto Model with Inertia and Hebbian Learning

Authors: Tachin Ruangkriengsin and Mason A. Porter

Abstract: We study low-dimensional dynamics in a Kuramoto model with inertia and Hebbian learning. In this model, the coupling strength between oscillators depends on the phase differences between the oscillators and changes according to a Hebbian learning rule. We analyze the special case of two coupled oscillators, which yields a five-dimensional dynamical system that decouples into a two-dimensional longitudinal system and a three-dimensional transverse system. We readily write an exact solution of the longitudinal system, and we then focus our attention on the transverse system. We classify the stability of the transverse system’s equilibrium points using linear stability analysis. We show that the transverse system is dissipative and that all of its trajectories are eventually confined to a bounded region. We compute Lyapunov exponents to infer the transverse system’s possible limiting behaviors, and we demarcate the parameter regions of three qualitatively different behaviors. Using insights from our analysis of the low-dimensional dynamics, we examine the original high-dimensional system in a situation in which we draw the intrinsic frequencies of the oscillators from Gaussian distributions with different variances.

Saturday, December 09, 2023

Sunday, December 03, 2023

Jim Leyland Elected to Baseball's Hall of Fame

Former manager Jim Leyland has been elected to Major League Baseball's Hall of Fame in a vote of the Contemporary Baseball Era Non-Players Committee.

"Leyland received 15 of a possible 16 votes (93.8%), while Piniella received 11 (68.8%), White received 10 (62.5%) and Gaston, Johnson, Montague, Peters and West each received fewer than five votes." A candidate needed to receive 12 or more votes (i.e., from at least 75% of the committee) to be elected.

Jay Jaffe wrote a particularly compelling case in favor of Bill White.

Wednesday, November 29, 2023

2023 Relievers of the Year

Félix Bautista of the Baltimore Orioles and Devin Williams of the Milwaukee Brewers are this year's Relievers of the Year in Baseball.

Tuesday, November 28, 2023

2023 Comeback Players of the Year

Reliever Liam Hendricks of the Chicago White Sox and outfielder (and also infielder, when he was with the Dodgers) Cody Bellinger of the Chicago Cubs have been named Baseball's 2023 Comeback Players of the Year.

"A Density Description of a Bounded-Confidence Model of Opinion Dynamics on Hypergraphs"

Another of my papers has now been published in final form. Here are some details.

Title: A Density Description of a Bounded-Confidence Model of Opinion Dynamics on Hypergraphs

Authors: Weiqi Chu and Mason A. Porter

Abstract: Social interactions often occur between three or more agents simultaneously. Examining opinion dynamics on hypergraphs allows one to study the effect of such polyadic interactions on the opinions of agents. In this paper, we consider a bounded-confidence model (BCM), in which opinions take continuous values and interacting agents compromise their opinions if they are close enough to each other. We study a density description of a Deffuant–Weisbuch BCM on hypergraphs. We derive a rate equation for the mean-field opinion density as the number of agents becomes infinite, and we prove that this rate equation yields a probability density that converges to noninteracting opinion clusters. Using numerical simulations, we examine bifurcations of the density-based BCM's steady-state opinion clusters and demonstrate that the agent-based BCM converges to the density description of the BCM as the number of agents becomes infinite.

Friday, November 24, 2023

"Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling" (Second Edition)

The unnecessary second edition of the book Temporal Network Theory is now out. It includes a second edition of a chapter that I coauthored. Here are a few details.

Title: Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling

Authors: Dane Taylor, Mason A. Porter, and Peter J. Mucha

Abstract: We describe centralities in temporal networks using a supracentrality framework to study centrality trajectories, which characterize how the importances of nodes change with time. We study supracentrality generalizations of eigenvector-based centralities, a family of centrality measures for time-independent networks that includes PageRank, hub and authority scores, and eigenvector centrality. We start with a sequence of adjacency matrices, each of which represents a time layer of a network at a different point or interval of time. Coupling centrality matrices across time layers with weighted interlayer edges yields a supracentrality matrix C(ω), where ω controls the extent to which centrality trajectories change with time. We can flexibly tune the weight and topology of the interlayer coupling to cater to different scientific applications. The entries of the dominant eigenvector of C(ω) represent joint centralities, which simultaneously quantify the importances of every node in every time layer. Inspired by probability theory, we also compute marginal and conditional centralities. We illustrate how to adjust the coupling between time layers to tune the extent to which nodes’ centrality trajectories are influenced by the oldest and newest time layers. We support our findings by analysis in the limits of small and large ω.

Thursday, November 16, 2023

2023 Most Valuable Player Awards

Major League Baseball has announced its 2023 Most Valuable Players. To nobody's surprise, Shohei Ohtani of the Los Angeles Angels was the unanimous MVP in the Americal League. Also to nobody's surprise, Ronald Acuña, Jr. of the Atlanta Braves won the MVP award handily in the National League. Acuña, Jr. also won the MVP unanimously (which I hadn't expected), and this marks the first time that both MVPs were unanimous. Ohtani is the first baseball player ever to twice be name a unanimous MVP.

The National League MVP voting was interesting. Mookie Betts of the Los Angeles Dodgers got all 30 second-place votes, and Freddie Freeman (Dodgers) and Matt Olson (Braves) split all of the third-place and fourth-place voters (with Freeman getting 17 of the former and 13 of the latter to obtain 4 more points than Olson). Rookie of the Year Corbin Carroll of the Arizona Diamondbacks finished fifth in the voting and garnered 20 of the 30 fifth-place votes.

Wednesday, November 15, 2023

2023 Cy Young Awards

As with Major League Baseball's awards earlier this week, the 2023 Cy Young Awards were awarded to the expected pitchers. Blake Snell of the San Diego Padres won handily in the National League, and Gerrit Cole of the New York Yankees won unanimously in the American League.

Tuesday, November 14, 2023

2023 Managers of the Year

The Managers of the Year have been announced. Skip Schumaker of the Miami Marlins won in the National League and Brandon Hyde of the Baltimore Orioles won in the American League.

Monday, November 13, 2023

2023 Rookies of the Year

Baseball's 2023 Rookies of the Year are Gunnar Henderson of the Baltimore Orioles and Corbin Carroll of the Arizona Diamondbacks.

Both selections were unanimous, and it was clear that both selections would either be unanimous or very nearly so (and it was clear that Carroll would win unanimously).

Saturday, November 11, 2023

What Happens in San Juan Capistrano Stays in San Juan Capistrano (2023 Edition)

I was just in San Capistrano for a bit more than a day to hang out with friends.

Thursday, November 09, 2023

2023 Silver Slugger Awards

The 2023 Silver Slugger awards were announced today. This includes inaugural team awards for the Braves in the National League and the Rangers in the American League.

Sunday, November 05, 2023

Wednesday, November 01, 2023

What Happens in Pittsburgh Stays in Pittsburgh

I am off to Pittsburgh for a few days!

Thursday, October 26, 2023

RIP Gary Lorden (1941–2023)

Gary Lorden, a profesor emeritus of mathematics at Caltech, died last night. In addition to being a mathematics professor, Gary held many leadership positions at Caltech. He was the only statistician in Caltech's math department, and I TAed for him during my junior year in the inaugural edition of the so-called "new core", which included major changes in Math 1 and Math 2. I got my gig as a consultant for the movie "Meet Dave" through Gary. He was also a very kind person.

Update (10/30/23): Caltech has posted a short obituary.

Sunday, September 24, 2023

Nicolas Bourbaki and The Traveling Wilburys

Nicolas Bourbaki was basically the mathematics version of The Traveling Wilburys.

Saturday, September 16, 2023

What Happens in Providence Stays in Providence

I am heading off to Providence to participate in the first roughly 1.5 days of ICERM's workshop on Mathematical Challenges in Neuroscience Network Dynamics.

A New Secondary Appointment in UCLA's Department of Sociology

As a small bit of career news, I now have a secondary appointment (i.e., a "0% appointment) in UCLA's Department of Sociology, in addition to my primary appointment in the Department of Mathematics. I am looking out to hanging out and otherwise interacting with the sociologists! I guess that I now get to consider myself an honorary sociologist?

Friday, September 15, 2023

"Minimizing Congestion in Single-Source, Single-Sink Queuing Networks"

Another of my papers has appeared in final form. Here are some details about it.

Title: Minimizing Congestion in Single-Source, Single-Sink Queuing Networks

Authors: Fabian Ying, Alisdair O. G. Wallis, Mason A. Porter, Sam D. Howison, and Mariano Beguerisse-Díaz

Abstract: Motivated by the modeling of customer mobility and congestion in supermarkets, we study queueing networks with a single source and a single sink. We assume that walkers traverse a network according to an unbiased random walk, and we analyze how network topology affects the total mean queue size Q, which we use to measure congestion. We examine network topologies that minimize Q and provide proofs of optimality for some cases and numerical evidence of optimality for others. Finally, we present greedy algorithms that add edges to and delete edges from a network to reduce Q, and we apply these algorithms to a network that we construct using a supermarket store layout. We find that these greedy algorithms, which typically tend to add edges to the sink node, are able to significantly reduce Q. Our work helps improve understanding of how to design networks with low congestion and how to amend networks to reduce congestion.

Thursday, September 07, 2023

"Recurrence Recovery in Heterogeneous Fermi–Pasta–Ulam–Tsingou Systems"

Another of my papers was published in final form today. Here are some details.

Title: Recurrence Recovery in Heterogeneous Fermi–Pasta–Ulam–Tsingou Systems

Authors: Zidu Li, Mason A. Porter, and Bhaskar Choubey

Abstract: The computational investigation of Fermi, Pasta, Ulam, and Tsingou (FPUT) of arrays of nonlinearly coupled oscillators has led to a wealth of studies in nonlinear dynamics. Most studies of oscillator arrays have considered homogeneous oscillators, even though there are inherent heterogeneities between individual oscillators in real-world arrays. Well-known FPUT phenomena, such as energy recurrence, can break down in such heterogeneous systems. In this paper, we present an approach—the use of structured heterogeneities—to recover recurrence in FPUT systems in the presence of oscillator heterogeneities. We examine oscillator variabilities in FPUT systems with cubic nonlinearities, and we demonstrate that centrosymmetry in oscillator arrays may be an important source of recurrence.

Wednesday, September 06, 2023

"Non-Markovian Models of Opinion Dynamics on Temporal Networks"

One of my papers was published in final form today. Here are some details.

Title: Non-Markovian Models of Opinion Dynamics on Temporal Networks

Authors: Weiqi Chu and Mason A. Porter

Abstract: Traditional models of opinion dynamics, in which the nodes of a network change their opinions based on their interactions with neighboring nodes, consider how opinions evolve either on time-independent networks or on temporal networks with edges that follow Poisson statistics. Most such models are Markovian. However, in many real-life networks, interactions between individuals (and hence the edges of a network) follow non-Poisson processes and thus yield dynamics with memory-dependent effects. In this paper, we model opinion dynamics in which the entities of a temporal network interact and change their opinions via random social interactions. When the edges have non-Poisson interevent statistics, the corresponding opinion models have non-Markovian dynamics. We derive a family of opinion models that are induced by arbitrary waiting-time distributions (WTDs), and we illustrate a variety of induced opinion models from common WTDs (including Dirac delta distributions, exponential distributions, and heavy-tailed distributions). We analyze the convergence to consensus of these models and prove that homogeneous memory-dependent models of opinion dynamics in our framework always converge to the same steady state regardless of the WTD. We also conduct a numerical investigation of the effects of waiting-time distributions on both transient dynamics and steady states. We observe that models that are induced by heavy-tailed WTDs converge more slowly to a steady state than models that are induced by WTDs with light tails (or with compact support) and that entities with longer waiting times exert more influence on the mean opinion at steady state.

Friday, September 01, 2023

What Happens in Berkeley Stays in Berkeley

In a few hours, I'll have my flight to Oakland and then head over to Berkeley to spend most of September in residence at the institution formerly known as MSRI as part of the semester on Algorithms, Fairness, and Equity!

During this period, I'll spend a couple of days at ICERM for a workshop on mathematical neuroscience. I'll return close to the end of September for the start of our new school year (and will spend my first full day back figuring out what I'll do for the next day's lecture in my graduate-level mathematical-modeling course).

Sunday, August 27, 2023

What Happens in Seoul Stays in Seoul

I have a couple-day pitstop in Seoul before heading back to LA.

Friday, August 18, 2023

What Happens in Tokyo Stays in Tokyo

Today I am off to Tokyo, where I will be participating in the ICIAM 2023 conference.

I'll be giving a talk on Monday.

Friday, August 11, 2023

Fernando Valenzuela's Number is Finally Getting Retired Tonight!

Tonight the Los Angeles Dodgers are finally retiring Fernando Valenzuela's number 34. This is long overdue. Fernando is a Los Angeles icon.

No Dodger has worn Fernando's number since he left the team, and now no other Dodger will ever wear it again.

Update: Here is ESPN.com's article about the jersey retirement ceremony.

Friday, July 28, 2023

What Happens in Sunnyvale Stays in Sunnyvale

I am off to Sunnyvale for the weekend to attend the wedding of one of my former Ph.D. students. I have many friends in the area, so I will also hang out with some of them, given that I'll already be in the area.

Wednesday, July 26, 2023

RIP Sinéad O'Connor (1966–2023)

Sinéad O'Connor has died.

She was only 56. But, to be honest, I am surprised that she lasted this long. She seemed to always be struggling.

You can read more about her in her Wikipedia entry.

Monday, July 17, 2023

Saturday, June 24, 2023

Serendipitous Convergence of the Dodgers and Tarzan Boy

On a few occasions this year, I had noticed the Dodger organist playing Tarzan Boy, and I was wondering why.

I had thought it was for something like certain leaping catches in the outfield, but it turns out that it is specifically for rookie James Outman. I figured that out last night because they played it when he got a hit in his first at bat. (I revised my opinion from seeing this when Outman was at the plate and running for a hit, with his locks flowing.) I thought it might have been because of his luxuriantly flowing hair.

I decided to google it to confirm whether I was right, and indeed Tarzan Boy is played specifically for good James Outman action, although it seems to actually be because of a nickname that is catching on. (I hadn't known about eh nickname.)

I am very amused by the fact that this is a convergence between the Dodgers and Tarzan Boy, given how many people from my Lloyd House days at Caltech would associate each of those two things individually with me.

What Happens in Dallas Stays in Dallas

Well, unfortunately, I won't be making my connection (annoying flight delay), and I will be staying an unintended night in Dallas before resuming my journey in the morning.

But at least I won't be liveblogging from the Dallas airport, as I did 16 years ago.

Wednesday, June 21, 2023

"Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity Levels"

One of my papers came out in final form today. Here are some details.

Title: Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity Levels

Authors: Grace J. Li and Mason A. Porter

Abstract: Agent-based models of opinion dynamics allow one to examine the spread of opinions between entities and to study phenomena such as consensus, polarization, and fragmentation. By studying models of opinion dynamics on social networks, one can explore the effects of network structure on these phenomena. In social networks, some individuals share their ideas and opinions more frequently than others. These disparities can arise from heterogeneous sociabilities, heterogeneous activity levels, different prevalences to share opinions when engaging in a social-media platform, or something else. To examine the impact of such heterogeneities on opinion dynamics, we generalize the Deffuant-Weisbuch (DW) bounded-confidence model (BCM) of opinion dynamics by incorporating node weights. The node weights allow us to model agents with different probabilities of interacting. Using numerical simulations, we systematically investigate (using a variety of network structures and node-weight distributions) the effects of node weights, which we assign uniformly at random to the nodes. We demonstrate that introducing heterogeneous node weights results in longer convergence times and more opinion fragmentation than in a baseline DW model. The node weights in our BCM allow one to consider a variety of sociological scenarios in which agents have heterogeneous probabilities of interacting with other agents.

"Lonely Individuals Process the World in Idiosyncratic Ways"

One of my papers that came out a couple of months ago now also has its final volume and page numbers. Here are some details about the article.

Title: Lonely Individuals Process the World in Idiosyncratic Ways

Authors: Elisa C. Baek, Ryan Hyon, Karina López, Meng Du, Mason A. Porter, and Carolyn Parkinson

Abstract: Loneliness is detrimental to well-being and is often accompanied by self-reported feelings of not being understood by other people. What contributes to such feelings in lonely people? We used functional MRI of 66 first-year university students to unobtrusively measure the relative alignment of people’s mental processing of naturalistic stimuli and tested whether lonely people actually process the world in idiosyncratic ways. We found evidence for such idiosyncrasy: Lonely individuals’ neural responses were dissimilar to those of their peers, particularly in regions of the default-mode network in which similar responses have been associated with shared perspectives and subjective understanding. These relationships persisted when we controlled for demographic similarities, objective social isolation, and individuals’ friendships with each other. Our findings raise the possibility that being surrounded by people who see the world differently from oneself, even if one is friends with them, may be a risk factor for loneliness.

Sunday, June 18, 2023

Thursday, June 08, 2023

"Detecting Political Biases of Named Entities and Hashtags on Twitter"

One of my papers came out in final form earlier today. Here are some details. (This is in collaboration with computer scientists, and stylistically it is rather different from much of my work. However, you'll still notice my hand in it. :P)

Title: Detecting Political Biases of Named Entities and Hashtags on Twitter

Authors: Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, and Yizhou Sun

Abstract: Ideological divisions in the United States have become increasingly prominent in daily communication. Accordingly, there has been much research on political polarization, including many recent efforts that take a computational perspective. By detecting political biases in a text document, one can attempt to discern and describe its polarity. Intuitively, the named entities (i.e., the nouns and the phrases that act as nouns) and hashtags in text often carry information about political views. For example, people who use the term “pro-choice” are likely to be liberal and people who use the term “pro-life” are likely to be conservative. In this paper, we seek to reveal political polarities in social-media text data and to quantify these polarities by explicitly assigning a polarity score to entities and hashtags. Although this idea is straightforward, it is difficult to perform such inference in a trustworthy quantitative way. Key challenges include the small number of known labels, the continuous spectrum of political views, and the preservation of both a polarity score and a polarity-neutral semantic meaning in an embedding vector of words. To attempt to overcome these challenges, we propose the Polarity-aware Embedding Multi-task learning (PEM) model. This model consists of (1) a self-supervised context-preservation task, (2) an attention-based tweet-level polarity-inference task, and (3) an adversarial learning task that promotes independence between an embedding’s polarity component and its semantic component. Our experimental results demonstrate that our PEM model can successfully learn polarity-aware embeddings that perform well at tweet-level and account-level classification tasks. We examine a variety of applications—including a study of spatial and temporal distributions of polarities and a comparison between tweets from Twitter and posts from Parler—and we thereby demonstrate the effectiveness of our PEM model. We also discuss important limitations of our work and encourage caution when applying the PEM model to real-world scenarios.

Saturday, May 13, 2023

What Happens at "Snowbird" Stays at "Snowbird"

Today I am off to the "Snowbird Meeting" (aka the SIAM applied-dynamical systems conference) for the latest instantiation of my favorite scientific conference series.

Wednesday, May 03, 2023

2023 Inductees to the Rock & Roll Hall of Fame

The Rock & Roll Hall of Fame has announced its 2023 inductees.

Of the acts on the ballot this year, the ones for which I cast a vote are Kate Bush (who made it) and Cyndi Lauper, New Order/Joy Division, and Warren Zevon (who didn't).

Saturday, April 22, 2023

What Happens at SOCAMS Stays at SOCAMS

Today I am off to Irvine for the 2023 version of the SOCAMS conference to celebrate applied mathematics in Southern California.

Tuesday, March 28, 2023

What Happens in Vancouver Stays in Vancouver

I am off to Vancouver today for a little while. I'll be giving a talk tomorrow at University of British Columbia, and I'll also be staying with friends and hanging out with them for a while! (On this day 10 years ago, I flew away to visit the same people.)

Monday, March 06, 2023

"Theorems" (to the tune of ' "Heroes" ', by David Bowie)

"Theorems" (to the tune of ' "Heroes" ', by David Bowie)

I, I will be pure
And you, you will use rigor
And nothing will take it away
We can show them, just for one day
We can prove theorems, just for one day

And you, you can have bounds
And I, I'll take infinite time
We're joint authors, and that is a fact
We're coauthors, and that is that
Mathematics'll keep us together
It will not be just for one day
We can prove theorems for ever and ever
What do you say?

I, I wish I could prove
Like my teachers, my teachers can prove
Though sometimes it's hard to keep it together
I can show them, for ever and ever
Oh I can prove Theorems, just for one day

I, I will be pure
And you, you will use rigor
And nothing will take it away
We can prove Theorems, just for one day
We can do it, just for one day

I, I can remember (I remember)
Standing, by the board (by the board)
Arguments, far above our heads (over our heads)
And we tried, and we were never ignored (never ignored)
Our mentors, were always on our side
Oh we can show them, for ever and ever
Then we could prove Theorems, just for one day

We can prove Theorems
We can prove Theorems
We can prove Theorems
Just for one day
We can prove Theorems

We're students, and nothing will help us
Maybe it's hopeless, then you better not stay
But we could graduate, maybe one day

Oh-oh-oh-ohh, oh-oh-oh-ohh, maybe one day?

Friday, February 10, 2023

"An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks "

An article of mine just appeared in final form a couple of days ago. Here are some details.

Title: An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks

Authors: Unchitta Kan, Michelle Feng, and Mason A. Porter

Abstract: Individuals who interact with each other in social networks often exchange ideas and influence each other’s opinions. A popular approach to study the spread of opinions on networks is by examining bounded-confidence models (BCMs), in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other nodes’ opinions when they lie within some confidence bound of their own opinion. In this article, we extend the Deffuant–Weisbuch (DW) model, which is a well-known BCM, by examining the spread of opinions that coevolve with network structure. We propose an adaptive variant of the DW model in which the nodes of a network can (1) alter their opinions when they interact with neighbouring nodes and (2) break connections with neighbours based on an opinion tolerance threshold and then form new connections following the principle of homophily. This opinion tolerance threshold determines whether or not the opinions of adjacent nodes are sufficiently different to be viewed as ‘discordant’. Using numerical simulations, we find that our adaptive DW model requires a larger confidence bound than a baseline DW model for the nodes of a network to achieve a consensus opinion. In one region of parameter space, we observe ‘pseudo-consensus’ steady states, in which there exist multiple subclusters of an opinion cluster with opinions that differ from each other by a small amount. In our simulations, we also examine the roles of early-time dynamics and nodes with initially moderate opinions for achieving consensus. Additionally, we explore the effects of coevolution on the convergence time of our BCM.

Saturday, February 04, 2023

The Dodgers are Finally Retiring Fernando Valenzuela's Uniform Number!

It took way too long, but the Los Angeles Dodgers announced today that they are finally retiring Fernando Valenzuela's uniform number. Given what Fernandro means to this franchise and this city, the team should have retired his number a very long time ago.

Wednesday, January 25, 2023

"The Professional Road that I have Traveled (so far)"

I was asked to write about my career trajectory for DSWeb, so I wrote this short article, which officially has the generic title of "Professional Feature — Mason A. Porter".

I really like my concluding sentence: "I want my mentees to continue to do excellent mentorship and research, be warm and kind-hearted, and not take any crap from anyone."

Scott Rolen Elected to Baseball Hall of Fame!

Yesterday, Scott Rolen was elected to Baseball's Hall of Fame in his 6th year of eligibility. He and Fred McGriff (who was elected to the Hall of Fame by an era committee in December) will be officially inducted into the Hall this summer. I am very pleased that both Rolen and McGriff are now in the Hall of Fame!

Scott Rolen is eminently merits his election, and it's great that he got in after several years of rising vote counts. Todd Helton and Billy Wagner made huge gains this year and should be joining the Hall in 2024. Andruw Jones and Gary Sheffield also made huge gains, although Sheffield is in his last year of eligibility for election by the writers in 2024 and is likely to instead be elected later by an era committee. It now looks like Andruw Jones will likely be elected by the writers in the next few years (but probably not in 2024) after getting under 8% of the vote (!) in his first year of eligibility. Jeff Kent, who was in his 10th and final year of eligibility, surged to 46.5% of the vote and is likely to be elected later by an era committee. Carlos Beltrán debuted on the ballot with 46.5% of the vote (matching Kent). I expect that Beltrán will get up to the high 50s in 2024, have some chance (but unlikely) of election in 2025, and probably be elected in 2026.

A strong set of players is debuting on the Hall ballot for the 2024 cycle. This set of players is led by Adrián Beltré, who will surely be a first-ballot Hall of Famer. Joe Mauer also is debuting on the ballot, but I think it will take 2 or 3 years (most likely 2, in my view) for him to get in. Chase Utley is also debuting in 2024. He'll make it eventually, but his counting stats don't stand out, so it's going to take a few years for him to get in (but I think that he will eventually.)

As in each of the past several years, I was closely tracking the Hall of Fame tracker during the past couple of months as writers released their ballots to the public.

Here is Jay Jaffe's recap of the voting results.

Here are some "way too early" predictions (from Bradford Doolittle David Schoenfield) of Hall of Fame results for the next few cycles. For the most part, my views are far closer to Schoenfield's than the Doolittle's.

Update (1/26/23): Jay Jaffe has written his annual ballot round-up of the candidates on this year's ballot.

Update (1/30/23): Jay Jaffe has written his 5-year Hall prognostication.

Tuesday, January 03, 2023

Sunday, January 01, 2023

"The Topology of Data"

Our introduction to a topological data analysis (TDA) for a general physics audience was published today in Physics Today. Here are some details.

Title: The Topology of Data

Authors: Mason A. Porter, Michelle Feng, and Eleni Katifori

Lede: Topological data analysis, which allows systematic investigations of the “shape” of data, has yielded fascinating insights into many physical systems.

Thursday, December 29, 2022

"Mixed Logit Models and Network Formation"

One of my papers was just published in final form about a week and a half ago. Here are some details.

Title: Mixed Logit Models and Network Formation

Authors: Harsh Gupta and Mason A. Porter

Abstract: The study of network formation is pervasive in economics, sociology, and many other fields. In this article, we model network formation as a ‘choice’ that is made by nodes of a network to connect to other nodes. We study these ‘choices’ using discrete-choice models, in which agents choose between two or more discrete alternatives. We employ the ‘repeated-choice’ (RC) model to study network formation. We argue that the RC model overcomes important limitations of the multinomial logit (MNL) model, which gives one framework for studying network formation, and that it is well-suited to study network formation. We also illustrate how to use the RC model to accurately study network formation using both synthetic and real-world networks. Using edge-independent synthetic networks, we also compare the performance of the MNL model and the RC model. We find that the RC model estimates the data-generation process of our synthetic networks more accurately than the MNL model. Using a patent citation network, which forms sequentially, we present a case study of a qualitatively interesting scenario—the fact that new patents are more likely to cite older, more cited, and similar patents—for which employing the RC model yields interesting insights.

Sunday, December 04, 2022

Fred McGriff Elected to Baseball Hall of Fame!

The Crime Dog (i.e., Fred McGriff) finally has his day, as the latest (and ever-changing) incarnation of a veterans committee has elected him to Baseball's Hall of Fame. Finally!

McGriff was elected unanimously by the 16-member committee. 12 or more votes of the 16-member committee were necessary for election. The other three people who got enough votes for their vote counts to be released are Don Mattingly (8 votes), Curt Schilling (7 votes), and Dale Murphy (6 votes). Everyone else had 3 or fewer votes.

Thursday, November 24, 2022

What Happens in San Juan Capistrano Stays in San Juan Capistrano

I am off to San Juan Capistrano to spend the weekend with friends!

"Nanoptera in Higher-Order Nonlinear Schrödinger Equations: Effects of Discretization"

A paper of mine has just been published in final form. Here are some details about it.

Title: Nanoptera in Higher-Order Nonlinear Schrödinger Equations: Effects of Discretization

Authors: Aaron J. Moston-Duggan, Mason A. Porter, and Christopher J. Lustri

Abstract: We consider generalizations of nonlinear Schrödinger equations, which we call “Karpman equations,” that include additional linear higher-order derivatives. Singularly- perturbed Karpman equations produce generalized solitary waves (GSWs) in the form of solitary waves with exponentially small oscillatory tails. Nanoptera are a special type of GSW in which the oscillatory tails do not decay. Previous research on continuous third-order and fourth-order Karpman equations has shown that nanoptera occur in specific settings. We use exponential asymptotic techniques to identify traveling nanoptera in singularly-perturbed continuous Karpman equations. We then study the effect of discretization on nanoptera by applying a finite-difference discretization to continu- ous Karpman equations and examining traveling-wave solutions. The finite-difference discretization turns a continuous Karpman equation into an advance–delay equation, which we study using exponential asymptotic analysis. By comparing nanoptera in these discrete Karpman equations with nanoptera in their continuous counterparts, we show that the oscillation amplitudes and periods in the nanoptera tails differ in the continuous and discrete equations. We also show that the parameter values at which there is a bifurcation between nanopteron solutions and decaying oscillatory solutions depends on the choice of discretization. Finally, by comparing different higher-order discretizations of the fourth-order Karpman equation, we show that the bifurcation value tends to a nonzero constant for large orders, rather than to 0 as in the associated continuous Karpman equation.

Tuesday, November 22, 2022

2022 Comeback Players of the Year

Baseball's Comeback Players of the Year for 2022 are Justin Verlander of the Detroit Tigers and Albert Pujols of the St. Louis Cardinals.

Thursday, November 17, 2022

2022 Most Valuable Player Awards

Major League Baseball's Most Valuable Player (MVP) awards were announced today. There were no surprises. Paul Goldschmidt of the St. Louis Cardinals is the National League MVP, and Aaron Judge of the New York Yankees is the American League MVP.

The complete voting results for both the NL and the AL are available at this Web page.

Wednesday, November 16, 2022

2022 Cy Young Awards: Both Unanimous!

The 2022 Cy Youngs were announced today, and both of them are unanimous (i.e., received all 1st-place votes). Justin Verlander of the Houston Astros won the American League Cy Young Award, and Sandy Alcántara of the Miami Marlins won the National League Cy Young Award.

I expected Justin Verlander to win, but not to be unanimous. I would have been very surprised if Sandy Alcántara were not unanimous. No other pitchers were anywhere close to Alcántara this year. Only once before have both leagues had unanimous Cy Young Award winners in the same year. That was in 1968, when Denny Mclain won in the AL and Bob Gibson won in the NL.

Tuesday, November 15, 2022

2022 Managers of the Year

Baseball's 2022 Managers of the Year were announced today. Buck Showalter of the New York Mets is the National League Manager of the Year, and Terry Francona of the Cleveland Guardians is the American League Manager of the Year. This is Showalter's 4th MOY award (with four different teams and in four different decades), and this is Francona's third. Both of them will ultimately end up in the Hall of Fame.

Monday, November 14, 2022

2022 Rookies of the Year

The 2022 Rookies of the Year were announced today. Julio Rodríguez won in the American League in a landslide (no surprise), and Michael Harris II beat out teammate Spencer Strider in the National League.

Thursday, November 10, 2022

Some Thoughts on "Statement of Purpose" (SOP) Documents for Graduate-School Applications

Lately, I have been going through statement-of-purpose (SOP) drafts for many UCLA undergraduates, and I have been giving them comments on it.

As a note, I am gearing this predominantly towards mathematics and applied mathematics. In the mathematical sciences in the US, one typically applies directly to graduate programs, rather than to individual faculty members. That entails much freedom in what one wants to work on (in contrast to, e.g., applying to a known project with known funding). Many of my comments should be relevant more broadly, but I wanted to give you this "Surgeon General's Warning" first, as some comments apply most directly to mathematical-science contexts (and especially in the US, as one also often applies directly to faculty or to more specific things in the mathematical sciences in other countries). Also, some parts of what I am writing are more for PhD programs than for Master's programs, but largely these ideas apply to both, aside from certain specifics (such as writing what person you may want as a PhD mentor).

Our students rightly view these documents as pretty mysterious, and these drafts often seem to be presented as chronologies of past experiences. That's not the point, and there is a resume/CV for such things anyway. Some past highlights are certainly relevant, but they need to be in the context of what the student wants to do now, how they got to where they are now and what they want to do, and how this relates to where they are going forward (including the context of the specific university where they are applying to do it). It is common to see too much detail and also to see mind-numbing timelines without the important context. The document should be present-looking and forward-looking.

When I am giving comments on my students' SOPs (along with more general advice on them), the way that I frame this document is as follows:

(1) The document should start with a terse statement of the student's current goal, at whatever level of specificity is accurate for that student. The analogy that I give is the start of a movie, such as an action movie. We start right in the middle of things (possibly in a really tense situation for our hero), and we don't know how they got there. That is also how an SOP should start. For example, I knew that I wanted to do a PhD in applied mathematics (so I applied to PhD programs in applied mathematics and more generally in mathematics) and that I wanted to study something (but I didn't know what) in the topic of dynamical systems. So that is what I said.

(2) One then needs to back up, as in an action movie, and briefly explain/summarize how we got to this point. The chronology and past highlights — including small bits of relevant experience and expertise, but don't overdue it and go at length into too much detail (because you're also submitting a transcript and a resume) — are part of this "backing up" process, but they should specifically be in the context of where one is now. I briefly discussed relevant courses that I had taken and also relevant undergraduate research projects (such as a summer project in geometric mechanics), but again not in too much detail. The idea is to convey how your current interest and goals developed, and past highlights (very specific parts of your personal chronology) can help do that.

(3) Now we have caught up to where our hero is now, and a reader of an SOP has caught up to where the applicant is now. Now you can briefly explain what topics you may want to explore now. That may be a continuation of a subtopic from before, it may be another topic in the same general area, it may be certain applications of that area, or it may be a progression to an adjacent area. Additionally, you don't need to know exactly what you want. Write this bit at whatever level of specificity gives an honest statement of where you are now. If you don't know what you want to work on, it's worth noting that some graduate programs are much more flexible than others. The specificity of what you think you want to work on may influence where you want to apply. Also, notice that I wrote "what you think you want to work on". Your interests will change. Maybe you'll learn about new topics that you didn't encounter before. Maybe some person who seems like a particularly great mentor is another area. Maybe something goes wrong with your intended mentor — unfortunately, this happens way too often — and your interests may change. Flexibility can be a major benefit of a graduate program. In my case, I don't particularly remember what I wrote here, but I expect that mostly just said that I wanted to continue doing dynamical systems. This then leads to connecting these goals and interests to the particular program to which you're applying. That is the next item.

(4) Now you need to briefly indicate why you are a good fit for the specific program to which you're applying, and vice versa. This often takes the form of a short paragraph that is somewhat different for each program to which you apply. For a given type of program (e.g., a PhD program in Mathematics), items (1)--(3) are mostly the same for all of your SOPs. If some programs are slightly different (e.g., some PhD programs and some Master's programs), then there could be two somewhat different versions. In this example, that is one basic one for the Master's programs and one basic one for the PhD programs. OK, I have digressed a bit, so I'll get back to item (4). It's good to indicate in general terms why that program is a good fit for you. In my case, my typical reason was that I wanted to go to places that were both generically "top schools" (where I note the various issues and complications of such a designation) and that were also really strong in applied dynamical systems. For example, that's why I chose to go to Cornell in applied mathematics. For PhD programs, it is also good to indicate potential PhD mentors; indicate who may be a good fit and why. This can simply be a matter of their work being intriguing, but it's good to indicate more direct potential overlap in scientific interests. If possible, listing at least two faculty members is good, and if there is only one person of interest to you, that often may not be the best program choice for you anyway. (See, e.g., my comment above about situations when there are issues with a supervisor.) When the SOP is examined by a committee, the presence of those names may increase the chance that somebody reading your application shows it to those people to ask their views. I have certainly gotten such requests (maybe a handful each year in most years) from my colleagues before. It also shows that you actually looked at the program website and did your homework. That's not bad to convey. Additionally, if there is anything else about the program that appeals to you, it is relevant to briefly mention that as well.

(5) Finally, you're ready to conclude. The movie (i.e., SOP) is about to end, and we need a denouement and the document to end. If you have any thoughts about what you want to do after you get your degree, indicate so. If there is a particular way that the university to which you're applying will help you get there, say that. I think that it's typically best for this text to take the form of a short paragraph. Many people don't know, and that is absolutely fine! But if you do know, it is useful to indicate it. I wanted to go on from my PhD program to a postdoc and then a faculty job, so that's what I said. One can also say that one wants to go to industry, a national lab, do data science for a nonprofit, or whatever else. One can also indicate a couple of these as possibility, since why should most people actually know definitively at this stage.



Good luck!



Note: If I didn't address anything that you feel that would be helpful for me to write in this blog entry, let me know, and I'll add something about it. Or, if I have nothing to say, I can at least remark that the issue exists and point out that I have nothing personal to add.

Friday, November 04, 2022

What Happens in Santa Fe Stays in Santa Fe

I am currently visiting Santa Fe for this event. There is some light snow.

Wednesday, October 26, 2022

"Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data"

I'm posting about one of my papers that was published in journal form a couple of months ago. I waited for a while because the journal made surprise, unwanted changes after the galley-proof stage — and unsurprisingly I objected very strongly to what they did — and I tried and failed to get those surprise changes addressed. They are very small, but they annoy me (and, as a matter of principle, they should not have made surprise wording changes between the version that we approved and the version that we published). Anyway, here are some details about the article.

Title: Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data

Authors: Abigail Hickok, Deanna Needell, and Mason A. Porter

Abstract: We develop a method for analyzing spatial and spatiotemporal anomalies in geospatial data using topological data analysis (TDA). To do this, we use persistent homology (PH), which allows one to algorithmically detect geometric voids in a data set and quantify the persistence of such voids. We construct an efficient filtered simplicial complex (FSC) such that the voids in our FSC are in one- to-one correspondence with the anomalies. Our approach goes beyond simply identifying anomalies; it also encodes information about the relationships between anomalies. We use vineyards, which one can interpret as time-varying persistence diagrams (which are an approach for visualizing PH), to track how the locations of the anomalies change with time. We conduct two case studies using spatially heterogeneous COVID-19 data. First, we examine vaccination rates in New York City by zip code at a single point in time. Second, we study a year-long data set of COVID-19 case rates in neighborhoods of the city of Los Angeles.

Friday, September 23, 2022

Albert Pujols Hits 700th Career Home Run!

Albert Pujols just became the 4th player in Major League history with 700 or more career home runs (in the regular season). He hit a 2-run homer against the Dodgers in the 3rd and then a 3-run homer against the Dodgers in the 4th. Now we need to work to erase that 5-run deficit. Obviously, congratulations to Albert! What a career!

Wednesday, September 14, 2022

Yadier Molina and Adam Wainwright Make their Record 325th Start as Battery-Mates

Yadier Molina and Adam Wainwright of the St. Louis Cardinals started their record 325th game as battery-mates. They tied the old record last week. Take a look at the Wikipedia page for "battery (baseball)" to see the other top battery-mates.

The new record is going to stand as the record for a very long time, and I'm not sure if it will ever be broken.

Additionally, quoting the ESPN.com article above: "Only six current major league players — Albert Pujols, Nelson Cruz, Miguel Cabrera, Zack Greinke, Rich Hill and Justin Verlander — were active when Wainwright and Molina made their first start together."

Thursday, September 08, 2022

What Happens in Milwaukee Stays in Milwaukee

I am in Milwaukee to give a talk at Marquette tomorrow (and also to see a double-header between the Brewers and the Giants in my first in-person baseball game since before the pandemic). (We arrived during the 6th inning of the first game.) Today was the first non-COVID double-header had Miller Park since 2000. This visit, which was originally slated for May, is my first time in Wisconsin. I have already had some frozen custard, of course.

Thursday, September 01, 2022

An Infinite Loop in the Game Dominion

I managed to construct an infinite loop in Dominion: I am going to break the infinite loop, but you can see in the attached that my turn will last infinitely long if I keep using the 'Shepherd' function that I attached to Estates with Inheritance.

Also, I am almost guaranteed mathematically to be able to do this every turn (and get a Province if I choose to stop); this probability does lessen slightly with each new Province that I acquire. I also pick up a new Estate every turn by using my Hill Fort.

Wednesday, August 31, 2022

RIP Abdul-Aziz Yakubu (1958–2022)

A couple of weeks ago, I heard the very sad and unexpected news that Abdul-Aziz Yakubu had died. Aziz was great.

Like others, I also have some Aziz stories (but the one that I wanted to tell seemed a bit too light-hearted to tell immediately on social media): I know Aziz from my days helping out with MTBI as a PhD student. On one occasion, when somebody — one of the students? — was being a bit formal with my name as I entered a room and was also using my last name or something, I made the mistake of loudly proclaiming "I'm like Madonna. I only need one name." With a quietly wicked sense of humor (and with the knowledge that we'd all be amused by this, including me), Aziz proceeded to jokingly call me "Mason Madonna" for the next several years.

You can read more about Aziz in his 2020 Mathematically Gifted & Black profile.

Tuesday, August 02, 2022

RIP Vin Scully (1927–2022)

I'm watching the game, and the Dodger broadcasters announced about 20 or so minutes ago that broadcasting legend Vin Scully died today. (Scully's death was announced by the Dodgers in the tweet to which I just linked, along with other simultaneous social-media posts.) Vin was the greatest broadcaster who ever lived. I listened to Vin broadcast literally thousands of games across four decades. Vin was one of the key voices of my childhood (and much of my adulthood). For so long, Vin was not only the voice of the Dodgers, but was also (along with Tommy Lasorda) the pulse of the Dodgers.

Here is Vin's Wikipedia page.

Update: ESPN has now posted an article about Vin Scully's death.

Wednesday, July 27, 2022

RIP James Lovelock (1919–2022)

James Lovelock, who proposed the Gaia hypothesis (which postulates that the Earth functions as a self-regulating system) died today. You can read more about him on his Wikipedia page.

When I was in high school, I did a report on the Gaia hypothesis. I suppose that that was my start in complex systems?

(Tip of the cap to Alun Lloyd.)

Sunday, July 24, 2022

What Happens at Santa Fe Institute Stays at Santa Fe Institute

I am heading off to Santa Fe Institute (SFI) for a bit.

Monday, July 18, 2022

RIP Pogo (1998–2022)

Pogo, the infamous cat of Somerville College, died on 26 June at the wizened age of 23 years and 10 months. Pogo's ashes will be scattered in his favorite spot in College just after the memorial for Dame Fiona Caldicott (who, of course, was Pogo's alter ego). That is immensely fitting.

Thursday, July 07, 2022

RIP Mike Brito (1934–2022)

Longtime Dodger scout Mike Brito died today. For many years, Brito was a familiar sight behind the dugout with his cigar.

Tuesday, June 28, 2022

Retirement Conference for Colin Please

Unfortunately, I just checked and I am still COVID positive, so regrettably I will be missing the retirement conference and party for my Oxford colleague Colin Please. (Alhough I am far from perfect, I feel well enough to have attended if I weren't still testing positive. I may chat with some people during a break outside and from a safe distance.)

A more general thing to point out, and it relates to the fact that I already interacted with Colin several years before he joined the Oxford faculty — I wonder if he remembers my antics during the 'mock tutorial' part of his Oxford interview? — is that I have always admired and enjoyed just how tightly know the British applied-mathematics community is. People across some many of the institutions know each other really well and often "randomly" show up at events in nearby cities even when their affiliations are different. I miss that.

Congratulations to Colin on his retirement!

Saturday, June 25, 2022

"Networks of Necessity: Simulating COVID-19 Mitigation Strategies for Disabled People and Their Caregivers"

One of my papers just came out in final form. Here are some details.

Title: Networks of Necessity: Simulating COVID-19 Mitigation Strategies for Disabled People and Their Caregivers

Authors: Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, and Michael R. Lindstrom

Abstract: A major strategy to prevent the spread of COVID-19 is the limiting of in-person contacts. However, limiting contacts is impractical or impossible for the many disabled people who do not live in care facilities but still require caregivers to assist them with activities of daily living. We seek to determine which interventions can best prevent infections of disabled people and their caregivers. To accomplish this, we simulate COVID-19 transmission with a compartmental model that includes susceptible, exposed, asymptomatic, symptomatically ill, hospitalized, and removed/recovered individuals. The networks on which we simulate disease spread incorporate heterogeneity in the risk levels of different types of interactions, time-dependent lockdown and reopening measures, and interaction distributions for four different groups (caregivers, disabled people, essential workers, and the general population). Of these groups, we find that the probability of becoming infected is largest for caregivers and second largest for disabled people. Consistent with this finding, our analysis of network structure illustrates that caregivers have the largest modal eigenvector centrality of the four groups. We find that two interventions—contact-limiting by all groups and mask-wearing by disabled people and caregivers—most reduce the number of infections in disabled and caregiver populations. We also test which group of people spreads COVID-19 most readily by seeding infections in a subset of each group and comparing the total number of infections as the disease spreads. We find that caregivers are the most potent spreaders of COVID-19, particularly to other caregivers and to disabled people. We test where to use limited infection-blocking vaccine doses most effectively and find that (1) vaccinating caregivers better protects disabled people from infection than vaccinating the general population or essential workers and that (2) vaccinating caregivers protects disabled people from infection about as effectively as vaccinating disabled people themselves. Our results highlight the potential effectiveness of mask-wearing, contact-limiting throughout society, and strategic vaccination for limiting the exposure of disabled people and their caregivers to COVID-19.

What Happens in the United Kingdom Stays in the United Kingdom

I arrived in Oxford a bit over a week ago, but I forgot to blog about it. I then visited friends in Newcastle during the weekend and returned to Oxford on Monday. Unfortunately, I caught COVID and have thus delayed my return flight to the US. I am currently in a room in Somerville College (in Oxford) struggling through COVID and gradually (but bumpily) improving.

Saturday, June 11, 2022

What Happens in Stockholm Stays in Stockholm

I am about to head to Stockholm for a networks conference that we were supposed to have in 2020. Only a bit late!

This is my first international flight during the COVID era. Meanwhile, I'll also be desperately trying to grade my final projects and finally finish the academic year.

Friday, May 20, 2022

RIP Roger Angell (1920–2022)

Famed writer and editor Roger Angell has died at age 101. Take a look at this article. I hadn't realized it before reading this article, but Angell is from quite a famous family.

Here is Angell's Wikipedia entry.

Thursday, May 19, 2022

"How Do Our Brains Support Our Friendships?"

One of my articles just came out in final published form. Here are some details.

Title: How Do Our Brains Support Our Friendships?

Authors: Elisa C. Baek, Ryan Hyon, Mason A. Porter, and Carolyn Parkinson

Abstract: Have you ever wondered how your friends impact how you see the world? Or how you are able to keep track of the many different people in your life? To study these questions, scientists have begun to look at people’s social networks and their brains at the same time. In this article, we introduce this area of study and discuss how scientists use ideas from both neuroscience and mathematics to examine these questions. We also highlight some recent discoveries that reveal both how our brains support our ability to socialize with others and how our relationships with other people are related to how we use our brains.

Wednesday, May 18, 2022

What Happens in Davis Stays in Davis.

I am off to a short workshop at UC Davis.

However, I just almost accidentally boarded a flight to Hawaii.

I am flying to Sacramento for the workshop at UC Davis.

[I also just noticed: One of the PhD students in my class is actually here and probably on the same flight.]

Saturday, May 14, 2022

A Great Visual Illusion: Radiating the Same Luminance

This is a great visual illusion.

The top and bottom chess pieces radiate the same luminance. (I did some sampling to check, and it seems to check out.)

(Tip of the cap to Luiz Pessoa.)

Wednesday, May 04, 2022

2022 Rock & Roll Hall of Fame Inductees

The Rock & Roll Hall of Fame has announced its 2022 inductees! They include Duran Duran, Eurythmics, Pat Benatar, and Harry Belafonte.

Sunday, May 01, 2022

"Topological Data Analysis of Spatial Systems"

A book chapter of ours was just published in final form. It is Chapter 16 in this book. Here are some other details about it.

Title: Topological Data Analysis of Spatial Systems

Authors: Michelle Feng, Abigail Hickok, and Mason A. Porter

Abstract: In this chapter, we discuss applications of topological data analysis (TDA) to spatial systems. We briefly review a recently proposed level-set construction of filtered simplicial complexes, and we then examine persistent homology in two cases studies: street networks in Shanghai and anomalies in the spread of COVID-19 infections. We then summarize our results and provide an outlook on TDA in spatial systems.

Friday, April 22, 2022

"Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models"

A new paper of mine was published in final form today. The project started in January 2017 as a group project by students in the first course that I ever taught at UCLA. It's taken awhile, but we're finally done!

Title: Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models

Authors: Jane Carlen†, Jaume de Dios Pont, CassidyMentus, Shyr-Shea Chang, Stephanie Wang, and Mason A. Porter

Abstract: In urban systems, there is an interdependency between neighborhood roles and transportation patterns between neighborhoods. In this paper, we classify docking stations in bicycle-sharing networks to gain insight into the human mobility patterns of three major cities in the United States. We propose novel time-dependent stochastic block models, with degree-heterogeneous blocks and either mixed or discrete block membership, which classify nodes based on their time-dependent activity patterns. We apply these models to (1) detect the roles of bicycle-sharing stations and (2) describe the traffic within and between blocks of stations over the course of a day. Ourmodels successfully uncover work blocks, home blocks, and other blocks; they also reveal activity patterns that are specific to each city. Our work gives insights for the design and maintenance of bicycle-sharing systems, and it contributes new methodology for community detection in temporal and multilayer networks with heterogeneous degrees.

Tuesday, April 12, 2022

A Gallery of Ancience d20 Dice

Here is a gallery of ancient d20 dice. I love it! (It includes the one that I discussed in this post. Also see this post and this post. The second of these also showed up in a previous post.

Also, this reminds me: I need more dice.

(Tip of the cap to Chris Klausmeier.)

Saturday, March 26, 2022

Hence is the Relief Pitcher

Tink Hence, a relief pitcher, is a prospect in the Cardinal's farm system.

I hope that he makes the Majors, so that we can bring back more of these jokes. My favorite one was when Chin Lung Hu came up with the Dodgers; I always wanted him to reach first base.

And Hence's first name is also great. "Tink Hence" is such a great baseball name. Because.

Wednesday, March 16, 2022

Dodgers Sign Freddie Freeman!

The Dodgers have reached a deal with free agent Freddie Freeman. As usual with the Dodgers, it'a Moneyball with money.

Wednesday, March 02, 2022

"In-Degree Centrality in a Social Network is Linked to Coordinated Neural Activity"

Another paper of mine was just published in final form. Here are some details.

Title: In-Degree Centrality in a Social Network is Linked to Coordinated Neural Activity

Authors: Elisa C. Baek, Ryan Hyon, Karina López, Emily S. Finn, Mason A. Porter, and Carolyn Parkinson

Abstract: Convergent processing of the world may be a factor that contributes to social connectedness. We use neuroimaging and network analysis to investigate the association between the social-network position (as measured by in-degree centrality) of first-year university students and their neural similarity while watching naturalistic audio-visual stimuli (specifically, videos). There were 119 students in the social-network study; 63 of them participated in the neuroimaging study. We show that more central individuals had similar neural responses to their peers and to each other in brain regions that are associated with high-level interpretations and social cognition (e.g., in the default mode network), whereas less-central individuals exhibited more variable responses. Self-reported enjoyment of and interest in stimuli followed a similar pattern, but accounting for these data did not change our main results. These findings show that neural processing of external stimuli is similar in highly-central individuals but is idiosyncratic in less-central individuals.

Friday, February 25, 2022

XKCD FTW: Greek Letters

Today's xkcd is fantastic! This is a big win. The mouseover is also great (and I am guilty as charged).

Wait until Randall Munroe finds out about mathfrak…


Thursday, February 17, 2022

What Happens in Austin Stays in Austin

I am in Austin for the wedding of an old college friend. Some of our mutual friends from college are also coming. Yay!

Tuesday, January 25, 2022

David Ortiz Elected to Baseball's Hall of Fame!

The Baseball Hall of Fame results were announced today, and David Ortiz is the only person who was elected by the writers this year. As usual, you can see all of the ballots that have been made public so far at this website. You can also see a discussion of winners and losers from this year's results.

Two of the era committees elected several Hall of Famers last month.

This year, Roger Clemens, Barry Bonds, Curt Schilling, and Sammy Sosa were all in their 10th and final years of eligibility. Clems and Bonds crept up to 65% of the vote, but that's still below the 75% that is needed for induction. Schilling, given his repeated crap, lost many votes. With Clemens, Bonds, Schilling, and Ortiz no longer on the ballot next year and few newcomers of note joining the ballot, holdover Scott Rolen (who went up to around 63% of the vote this year) will likely be elected in 2023 (yay!). Newcomer Carlos Beltrán is the only new person on the ballot next year with any chance. The weak ballot will help him, but we'll see how the Astros cheating scandal affects his vote total. Todd Helton and Billy Wagner finally surpassed 50% of the vote this year, and I expect Todd Helton to make another big jump next year. Both merit election, but it it may take some time for Wagner and I think that Helton is more likely to be elected in 2024 than in 2023. Andruw Jones surpassed 40%, so he's also trending upward. Support for Omar Vizquel tanked because of his shenanigans, and he doesn't belong in the Hall of Fame anyway. Jimmy Rollins and Alex Rodriguez were the only other newcomers to the ballot besides David Ortiz to get at least 5% of the vote.

We will see how the era committees deal with Bonds, Clemens, and Schilling. They'll get into the Hall eventually (as they should, even with their horseshit), but it may take a while.

Update (1/26/22): Also see the voting round-up from Jay Jaffe.

Update (1/27/22): Here is Jay Jaffe's candidate-by-candidate breakdown of the 2022 voting.

Update (1/31/22): Here is Jay Jaffe's five-year outlook of the Hall of Fame balloting in the writers' ballot.

Monday, January 17, 2022

"A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions"

A new paper of mine just came out in final form. Here are some details.

Title: A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions

Authors: Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael R. Lindstrom, Christian Parkinson, Chuntian Wang, Andrea L. Bertozzi, Mason A. Porter

Abstract: During the COVID-19 pandemic, conflicting opinions on physical distancing swept across social media, affecting both human behavior and the spread of COVID-19. Inspired by such phenomena, we construct a two-layer multiplex network for the coupled spread of a disease and conflicting opinions. We model each process as a contagion. On one layer, we consider the concurrent evolution of two opinions — pro-physical-distancing and anti-physical-distancing — that compete with each other and have mutual immunity to each other. The disease evolves on the other layer, and individuals are less likely (respectively, more likely) to become infected when they adopt the pro-physical-distancing (respectively, anti-physical-distancing) opinion. We develop approximations of mean-field type by generalizing monolayer pair approximations to multilayer networks; these approximations agree well with Monte Carlo simulations for a broad range of parameters and several network structures. Through numerical simulations, we illustrate the influence of opinion dynamics on the spread of the disease from complex interactions both between the two conflicting opinions and between the opinions and the disease. We find that lengthening the duration that individuals hold an opinion may help suppress disease transmission, and we demonstrate that increasing the cross-layer correlations or intra-layer correlations of node degrees may lead to fewer individuals becoming infected with the disease.

Sunday, January 16, 2022

The `PrickRank' Algorithm

One way to gather information is to purposely write an incorrect 'factual' statement on social media.

People love to correct others (often obnoxiously, but at least one acquires info).

Google has PageRank, and social-media platforms like Twitter have this `PrickRank algorithm'.

(This monicker is destined to become a classic, just like FIPO.)

Sunday, January 09, 2022

The Donkey Kong Visual Illusion

This visual illusion ought to be called the "Donkey Kong Illusion"

Thursday, January 06, 2022

"A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs"

A new paper of mine just came out in final form. Here are some details about it.

Title: A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs

Authors: Abigail Hickok, Yacoub Kureh, Heather Z. Brooks, Michelle Feng, and Mason A. Porter

Abstract: People's opinions evolve with time as they interact with their friends, family, colleagues, and others. In the study of opinion dynamics on networks, one often encodes interactions between people in the form of dyadic relationships, but many social interactions in real life are polyadic (i.e., they involve three or more people). In this paper, we extend an asynchronous bounded-confidence model (BCM) on graphs, in which nodes are connected pairwise by edges, to an asynchronous BCM on hypergraphs, in which arbitrarily many nodes can be connected by a single hyperedge. We show that our hypergraph BCM converges to consensus for a wide range of initial conditions for the opinions of the nodes, including for nonuniform and asymmetric initial opinion distributions. We also show that, under suitable conditions, echo chambers can form on hypergraphs with community structure. We demonstrate that the opinions of nodes can sometimes jump from one opinion cluster to another in a single time step; this phenomenon (which we call ``opinion jumping") is not possible in standard dyadic BCMs. Additionally, we observe a phase transition in the convergence time of our BCM on a complete hypergraph when the variance $\sigma^2$ of the initial opinion distribution equals the confidence bound $c$. We prove that the convergence time grows at least exponentially fast with the number of nodes when $\sigma^2 > c$ and the initial opinions are normally distributed. Therefore, to determine the convergence properties of our hypergraph BCM when the variance and the number of hyperedges are both large, it is necessary to use analytical methods instead of relying only on Monte Carlo simulations.