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Homophily and long-run integration in social networks

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posted on 2013-11-26, 10:32 authored by Yann Bramoullé, Sergio Currarini, Matthew O. Jackson, Paolo Pin, Brian W. Rogers
We model network formation when heterogeneous nodes enter sequentially and form connections through both random meetings and network-based search, but with type-dependent biases. We show that there is “long-run integration”, whereby the composition of types in sufficiently old nodesʼ neighborhoods approaches the global type-distribution, provided that the network-based search is unbiased. However, younger nodesʼ connections still reflect the biased meetings process. We derive the type-based degree distributions and group-level homophily patterns when there are two types and location-based biases. Finally, we illustrate aspects of the model with an empirical application to data on citations in physics journals.

Funding

We gratefully acknowledge financial support from the NSF under grant SES-0961481.

History

Citation

Journal of Economic Theory, 2012, 147 (5), pp. 1754-1786

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCE/Department of Economics

Version

  • AM (Accepted Manuscript)

Published in

Journal of Economic Theory

Publisher

Elsevier

issn

0022-0531

eissn

1095-7235

Copyright date

2012

Available date

2013-11-26

Publisher version

http://www.sciencedirect.com/science/article/pii/S0022053112000610

Language

en

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