Identifying criminal organizations from their social network structures

Identifying Community Structures from Network Data

We describe, axiomatize, and implement, a new method for identifying community structures (groups of structurally equivalent nodes) from network data. The method is based on maximum likelihood estimation, a standard statistical tool. μ Copiμc and Jackson are at the Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, California 91125, USA, emails: jackso...

Social Capital in Network Organizations

In a dynamic network organization, member agents usually interact to coordinate their actions and to cooperate towards a common goal with which they have no previous experience. These relations allow them to produce a cohesive group to build and maintain their network. This paper will outline the effect of social capital on a network structure inside a network organization. There is increasing ...

Social Network Analysis for Organizations

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Identifying Community Structures from Network Data via Maximum Likelihood Methods

Networks of social and economic interactions are often influenced by unobserved structures among the nodes. We develop a simple model of how hidden community structure generates networks of interactions and then axiomatize a method of identifying the latent community structures from network data. The method is based on maximum likelihood estimation. ∗Čopič is the department of economics at UCLA...

Gossip in Organizations A Social Network Study