Co-community Structure in Time-varying Networks

TL;DR

This paper introduces the concept of co-community structure in time-varying networks and proposes a new optimization algorithm to detect these structures efficiently, revealing dynamic phenomena within the networks.

Contribution

It presents a novel concept and an optimization algorithm for detecting co-community structures in time-varying networks, advancing understanding of their dynamics.

Findings

Effective detection of detailed co-communities

Ability to identify dynamical phenomena

Algorithm shows strong theoretical and numerical performance

Abstract

In this report, we introduce the concept of co-community structure in time-varying networks. We propose a novel optimization algorithm to rapidly detect co-community structure in these networks. Both theoretical and numerical results show that the proposed method not only can resolve detailed co-communities, but also can effectively identify the dynamical phenomena in these networks.