Big Data

Identifying Evolving Groups in Dynamic Multi-Mode Networks

Date Added: May 2010
Format: PDF

A multi-mode network consists of heterogeneous types of actors with various interactions occurring between them. Identifying communities in a multi-mode network can help understand the structural properties of the network, address the data shortage and unbalanced problems, and assist tasks like targeted marketing and finding influential actors within or between groups. In general, a network and its group structure often evolve unevenly. In a dynamic multimode network, both group membership and interactions can evolve, posing a challenging problem of identifying these evolving communities.