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The B.E. Journal of Theoretical Economics

Editor-in-Chief: Schipper, Burkhard

Ed. by Cervellati, Matteo / Fong, Yuk-fai / Peeters, Ronald / Puzzello , Daniela / Rivas, Javier

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Identifying Community Structures from Network Data via Maximum Likelihood Methods

Jernej Copic1 / Matthew O. Jackson2 / Alan Kirman3

1UCLA,

2Stanford University and Santa Fe Institute,

3GREQAM,

Citation Information: The B.E. Journal of Theoretical Economics. Volume 9, Issue 1, ISSN (Online) 1935-1704, DOI: 10.2202/1935-1704.1523, September 2009

Publication History

Published Online:
2009-09-27

Networks of social and economic interactions are often influenced by unobserved structures among the nodes. Based on a simple model of how an unobserved community structure generates networks of interactions, we axiomatize a method of detecting the latent community structures from network data. The method is based on maximum likelihood estimation.

Keywords: networks; communities; community structures; maximum likelihood; social networks

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