A BEJTE Contributions article.

Abstract

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.

Submitted: September 22, 2008 · Accepted: April 3, 2009 · Published: September 27, 2009

Recommended Citation

Copic, Jernej; Jackson, Matthew O.; and Kirman, Alan (2009) "Identifying Community Structures from Network Data via Maximum Likelihood Methods," The B.E. Journal of Theoretical Economics: Vol. 9 : Iss. 1 (Contributions), Article 30.
DOI: 10.2202/1935-1704.1523
Available at: http://www.bepress.com/bejte/vol9/iss1/art30