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Review of Network Economics

Editor-in-Chief: Grzybowski, Lukasz

Ed. by Briglauer, Wolfgang / Goetz, Georg / Pereira, Pedro

4 Issues per year

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5-year IMPACT FACTOR: 0.595

CiteScore 2016: 0.83

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Source Normalized Impact per Paper (SNIP) 2015: 0.719

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Volume 11, Issue 3


Does Homophily Predict Consensus Times? Testing a Model of Network Structure via a Dynamic Process

Benjamin Golub / Matthew O. Jackson
Published Online: 2012-09-14 | DOI: https://doi.org/10.1515/1446-9022.1367


We test theoretical results from Golub and Jackson (2012a), which are based on a random network model, regarding time to convergence of a learning/behavior-updating process. In particular, we see how well those theoretical results match the process when it is simulated on empirically observed high school friendship networks. This tests whether a parsimonious random network model mimics real-world networks with regard to predicting properties of a class of behavioral processes. It also tests whether our theoretical predictions for asymptotically large societies are accurate when applied to populations ranging from thirty to three thousand individuals. We find that the theoretical results account for more than half of the variation in convergence times on the real networks. We conclude that a simple multi-type random network model with types defined by simple observable attributes (age, sex, race) captures aspects of real networks that are relevant for a class of iterated updating processes.

KEYWORDS:: homophily; friendships; social networks; random graphs; inhomogeneous random graphs; spectral graph theory

About the article

Author Notes: We are grateful to Andrea Galeotti and an anonymous referee for very helpful suggestions. Jackson gratefully acknowledges financial support from the NSF under grants SES-0961481 and SES-1155302. Golub gratefully acknowledges financial support from an NSF Graduate Research Fellowship. This article includes material that originally appeared in the working paper "How Homophily Affects Diffusion and Learning in Networks" (arXiv:0811.4013v2).

Published Online: 2012-09-14

Citation Information: Review of Network Economics, Volume 11, Issue 3, ISSN (Online) 1446-9022, DOI: https://doi.org/10.1515/1446-9022.1367.

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©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston. Copyright Clearance Center

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