Showing posts with label sociology. Show all posts
Showing posts with label sociology. Show all posts

Saturday, September 16, 2023

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?

Thursday, February 22, 2018

"Opinion Formation and Distribution in a Bounded-Confidence Model on Various Networks"

Another of my papers came out in final form today. This work was led by my former (and excellent) undergraduate student Flora Meng. Here are the details.

Title: Opinion Formation and Distribution in a Bounded-Confidence Model on Various Networks

Authors: X. Flora Meng, Robert A. Van Gorder, and Mason A. Porter

Abstract: In the social, behavioral, and economic sciences, it is important to predict which individual opinions eventually dominate in a large population, whether there will be a consensus, and how long it takes for a consensus to form. Such ideas have been studied heavily both in physics and in other disciplines, and the answers depend strongly both on how one models opinions and on the network structure on which opinions evolve. One model that was created to study consensus formation quantitatively is the Deffuant model, in which the opinion distribution of a population evolves via sequential random pairwise encounters. To consider heterogeneity of interactions in a population along with social influence, we study the Deffuant model on various network structures (deterministic synthetic networks, random synthetic networks, and social networks constructed from Facebook data). We numerically simulate the Deffuant model and conduct regression analyses to investigate the dependence of the time to reach steady states on various model parameters, including a confidence bound for opinion updates, the number of participating entities, and their willingness to compromise. We find that network structure and parameter values both have important effects on the convergence time and the number of steady-state opinion groups. For some network architectures, we observe that the relationship between the convergence time and model parameters undergoes a transition at a critical value of the confidence bound. For some networks, the steady-state opinion distribution also changes from consensus to multiple opinion groups at this critical value.

Monday, February 19, 2018

"Neither Global nor Local: Heterogeneous Connectivity in Spatial Network Structures of World Migration"

One of my papers, which has had a DOI for about half a year, finally has its final publication coordinates. Notably, this is my first paper in a sociology journal. Here are some details.

Title: Neither Global nor Local: Heterogeneous Connectivity in Spatial Network Structures of World Migration

Authors: Valentin Danchev and Mason A. Porterc

Abstract: For a long time, geographic regions were considered the dominant spatial arbiter of international migration of people. However, since the late 1970s, many scholars have argued that movements reach beyond contiguous regions to connect distant, dispersed, and previously disconnected countries across the globe. The precise structure of world migration, however, remains an open question. We apply network analysis that incorporates spatial information to international migration-stock data to examine what multilateral structures of world migration have emerged from the interplay of regional concentration (local cohesion)and global interconnectedness (global cohesion) for the period 1960–2000. In the world migration network (WMN), nodes represent countries located in geographic space, and edges represent migrants froman origin country who live in a destination country during each decade. We characterize the large-scale structure and evolution of the WMN by algorithmically detecting international migration communities (i.e., sets of countries that are densely connected via migration) using a generalized modularity function for spatial, temporal, and directed networks. Our findings for the whole network suggest that movements in the WMN deviate significantly from the regional boundaries of the world and that international migration communities have become globally interconnected over time. However, we observe a strong variability in the distribution of strengths, neighborhood overlaps, and lengths of migration edges in the WMN. This manifests as three types of communities: global, local, and glocal. We find that long-distance movements in global communities bridge multiple non-contiguous countries, whereas local (and, to a lesser extent, glocal) communities remain trapped in contiguous geographic regions (or neighboring regions) for almost the whole period, contributing to a spatially fragmented WMN. Our findings demonstrate that world migration is neither regionally concentrated nor globally interconnected, but instead exhibits a heterogeneous connectivity pattern that channels unequal migration opportunities across the world.

Saturday, January 07, 2017

"I'm From the Physics Department, and I'm Here to Help"

I am amused. :)



(Tip of the cap to Bruno Gonçalves.)

Tuesday, September 20, 2016

XKCD: Academic Imposters

This old xkcd comic is amusing. It also includes an (I believe) unintended joke about centrality measures.

(Tip of the cap to Carlos Castillo Chavez.)

Thursday, December 10, 2015

Congratulations to Dr. Valentin Danchev!

The D.Phil. thesis of my student Valentin Danchev (now a postdoc in the Knowledge Lab at University of Chicago) has now been officially approved. Valentin's other supervisor was Michael Keith of COMPAS (Centre on Migration, Policy, and Society) at University of Oxford.

Valentin is a sociologist and was a D.Phil. student in University of Oxford's International Migration Institute. His thesis is called Spatial Network Structures of World Migration: Heterogeneity of Global and Local Connectivity, and we have a joint paper on the topic in progress. We plan to submit that paper to a sociology journal.

Wednesday, August 26, 2015

A Sociological "Study" of Comfort Zones

Here is an article published three years ago in The Onion about a "study" of social comfort zones. I approve!

Choice quote: "Your comfort zone is there for a reason," Gamble said. "It's so you can stay comfortable. If someone breaches that by saying hello to you, that person is the asshole, not you. Remember that."

Tuesday, July 21, 2015

"Topological Data Analysis of Contagion Maps for Examining Spreading Processes on Networks"

Our Nature Communications paper just came out today! Here are the details.

Title: Topological Data Analysis of Contagion Maps for Examining Spreading Processes on Networks

Authors: Dane Taylor, Florian Klimm, Heather A. Harrington, Miroslav Kramár, Konstantin Mischaikow, Mason A. Porter, and Peter J. Mucha

Abstract: Social and biological contagions are influenced by the spatial embeddedness of networks. Historically, many epidemics spread as a wave across part of the Earth’s surface; however, in modern contagions long-range edges––for example, due to airline transportation or communication media––allow clusters of a contagion to appear in distant locations. Here we study the spread of contagions on networks through a methodology grounded in topological data analysis and nonlinear dimension reduction. We construct 'contagion maps' that use multiple contagions on a network to map the nodes as a point cloud. By analysing the topology, geometry and dimensionality of manifold structure in such point clouds, we reveal insights to aid in the modelling, forecast and control of spreading processes. Our approach highlights contagion maps also as a viable tool for inferring low-dimensional structure in networks.


Instead of trying to explain our work in layperson's terms here, I'll point you to the press release from University of Oxford.

You can also download our data and our code.

Sunday, June 21, 2015

What Happens in Brighton Stays in Brighton

Tomorrow afternoon, I'll be heading on the train to "Bright"on to attend the "Sun"belt conference on social network analysis! As you can see from the program, I helped organize a three-part session on multilayer networks.

Time to hang out with some of my sociologist peeps!

Here is an appropriate theme song for my trip.

Tuesday, February 17, 2015

What Happens in Manchester Stays in Manchester (2015 Edition)

I am on the train to Manchester, where I will be giving a talk to the sociologists in the Mitchell Centre for Social Network Analysis.

They were stressing the importance of multiplexity several decades ago (take a look at a couple of the classical references in a certain review article), so it's an especially appropriate that I am giving a talk on multilayer networks there.

Update: On the way from the train station to my hotel, I passed "Back Action Street". I have no further comment.

Friday, November 14, 2014

"Mad Sociology"

I love today's SMBC!

Its caption: "I'm sorry, but mad sociology is not a real mad science."

Thursday, September 26, 2013

A Tom Lehrer Recording from 1997!

How awesome! Here is a Tom Lehrer performance from 1997. It includes some songs I have never heard him sing before! (I had never even heard of a couple of these songs before.) Big win!

(The penultimate song takes a really low shot at sociology and the attempt to mathematize it. It's really funny, though, perhaps because I can think of specific examples that it fits very well. Still, the assessment is not even close to fair.)

(Tip of the cap to Marina Chugunova.)

Update: I forgot to mention that I am wearing my "Let ε < 0" shirt today. How appropriate!

Friday, August 23, 2013

But Isn't It Just Homophily?

I have just created a Batman-Slapping-Robin meme for this one.

My computer's autocorrect keeps trying to make me write "homophile" instead of "homophily". Bloody Hell.

Thursday, July 07, 2011

Studying Human Dynamics Using Halo

Yes, that's right. Aaron Clauset has a new project that entails studying human dynamics using the game Halo: Reach.

There actually have already been some network science studies using video games---such as this one.