Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks.

ABSTRACT: Identification of community structures in complex network is of crucial importance for understanding the system's function, organization, robustness and security. Here, we present a novel Ollivier-Ricci curvature (ORC) inspired approach to community identification in complex networks. We demonstrate that the intrinsic geometric underpinning of the ORC offers a natural approach to discover inherent community structures within a network based on interaction among entities. We develop an ORC-based community identification algorithm based on the idea of sequential removal of negatively curved edges symptomatic of high interactions (e.g., traffic, attraction). To illustrate and compare the performance with other community identification methods, we examine the ORC-based algorithm with stochasti

SUBMITTER: Sia J 

PROVIDER: S-EPMC6611887 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature