Decentralized Iterative Community Clustering Approach (DICCA)

摘要

In this work, a novel Decentralized Iterative Community Clustering approach (DICCA) for detecting communities in complex networks is proposed. The DICCA approach is based on the random walk procedure. An important property of this approach is its ability to cluster the entire network without the global knowledge of the network topology. This ability means that this method could be easily adapted to any parallel/ distributed processing to find community clusters in big networks.