Abstract
We propose a method of community detection that is computationally inexpensive and possesses physical significance to a member of a social network. This method is unlike many divisive and agglomerative techniques and is local in the sense that a community can be detected within a network without requiring knowledge of the entire network. A global application of this method is also introduced. Several artificial and real-world networks, including the famous Zachary karate club, are analyzed.
20 More- Received 24 December 2004
DOI:https://doi.org/10.1103/PhysRevE.72.046108
©2005 American Physical Society