Local community extraction in directed networks

Xuemei Ning, Zhaoqi Liu and Shihua Zhang

Physica A: Statistical Mechanics and its Applications, 2016, vol. 452, issue C, 258-265

Abstract: Network is a simple but powerful representation of real-world complex systems. Network community analysis has become an invaluable tool to explore and reveal the internal organization of nodes. However, only a few methods were directly designed for community-detection in directed networks. In this article, we introduce the concept of local community structure in directed networks and provide a generic criterion to describe a local community with two properties. We further propose a stochastic optimization algorithm to rapidly detect a local community, which allows for uncovering the directional modular characteristics in directed networks. Numerical results show that the proposed method can resolve detailed local communities with directional information and provide more structural characteristics of directed networks than previous methods.

Keywords: Complex network; Community structure; Clustering; Optimization (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:452:y:2016:i:c:p:258-265

DOI: 10.1016/j.physa.2016.01.101

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