A Structural Model of Homophily and Clustering in Social Networks
Bibliographic Data
| ID | 19417775 |
|---|---|
| Authors | Angelo Mele (0000-0003-2890-6042, Carey Business School, Johns Hopkins University, Baltimore, MD, corresponding author) |
| Year | 2022 |
| Volume | 40 |
| Issue | 3 |
| Pages | 1377-1389 |
| Publication date | 2022-07-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.2021.1930013 |
| OpenAlex | W3160780879 |
| Language | EN |
| Citations received | 3 |
| References cited | 53 |
I develop and estimate a structural model of network formation with heterogeneous players and latent community structure, whose equilibrium homophily and clustering levels match those usually observed in real-world social networks. Players belong to communities unobserved by the econometrician and have community-specific payoffs, allowing preferences to have a bias for similar people. Players meet sequentially and decide whether to form bilateral links, after receiving a random matching shock. The model converges to a hierarchical exponential family random graph. Using school friendship network data from Add Health, I estimate the posterior distribution of parameters and unobserved heterogeneity, detecting high levels of racial homophily and payoff heterogeneity across communities. The posterior predictions of sufficient statistics show that the model is able to replicate the homophily levels and the aggregate clustering of the observed network, in contrast with standard exponential family network models without community structure
Cluster analysis · Community structure · Econometrics · Exponential random graph models · Graph · Homophily · Network formation · Random graph · Social media · Statistics · Computer Science · Game Theory and Applications · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Capital and Networks · Social Psychology · Theoretical Computer Science
Bayesian Data Analysis
Learning about a New Technology
Potential Games
Dummy Endogenous Variables in a Simultaneous Equation System
A Strategic Model of Social and Economic Networks
The old boy (and girl) network
Meeting Strangers and Friends of Friends
A Measure of Segregation Based on Social Interactions
Peer Effects and Social Networks in Education
A Noncooperative Model of Network Formation
Social Interactions, Local Spillovers and Unemployment
Social Networks and the Identification of Peer Effects
Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates
Two-Way Models for Gravity
An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity
A Random-Field Approach to Inference in Large Models of Network Formation
Bayesian Learning in Social Networks
The Oxford Handbook of the Economics of Networks
Bayesian inference for exponential random graph models
Segregation in Social Networks
Race, School Integration, and Friendship Segregation in America
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |