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.
Ed. by Cervellati, Matteo / Fong, Yuk-fai / Peeters, Ronald / Puzzello , Daniela / Rivas, Javier / Schipper, Burkhard
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Identifying Community Structures from Network Data via Maximum Likelihood Methods
1UCLA, jcopic@econ.ucla.edu
2Stanford University and Santa Fe Institute, jacksonm@stanford.edu
3GREQAM, kirman@univmed.fr
Citation Information: The B.E. Journal of Theoretical Economics. Volume 9, Issue 1, Pages –, ISSN (Online) 1935-1704, DOI: 10.2202/1935-1704.1523, September 2009
Publication History:
- Published Online:
- 2009-09-27
Keywords: networks; communities; community structures; maximum likelihood; social networks
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