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Title: Homophily and long-run integration in social networks
Authors: Bramoullé, Yann
Currarini, Sergio
Jackson, Matthew O.
Pin, Paolo
Rogers, Brian W.
First Published: 5-May-2012
Publisher: Elsevier
Citation: Journal of Economic Theory, 2012, 147 (5), pp. 1754-1786
Abstract: 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.
DOI Link: 10.1016/j.jet.2012.05.007
ISSN: 0022-0531
eISSN: 1095-7235
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2012 Elsevier Inc. Deposited with reference to the publisher’s open access archiving policy.
NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Economic Theory. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Economic Theory, 2012, 147 (5), pp. 1754-1786, DOI: 10.1016/j.jet.2012.05.007.
Appears in Collections:Published Articles, Dept. of Economics

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