Locating Structural Centers: A Density-Based Clustering Method for Community Detection.

ABSTRACT: Uncovering underlying community structures in complex networks has received considerable attention because of its importance in understanding structural attributes and group characteristics of networks. The algorithmic identification of such structures is a significant challenge. Local expanding methods have proven to be efficient and effective in community detection, but most methods are sensitive to initial seeds and built-in parameters. In this paper, we present a local expansion method by density-based clustering, which aims to uncover the intrinsic network communities by locating the structural centers of communities based on a proposed structural centrality. The structural centrality takes into account local density of nodes and relative distance between nodes. The proposed algorithm

SUBMITTER: Wang X 

PROVIDER: S-EPMC5207651 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature