Detecting Hierarchical and Overlapping Community Structures in Social Networks Using a One-Stage Memetic Algorithm

  • Chun-Cheng Lin
  • Der-Jiunn Deng
  • Jung-Chao Wu
  • Liang-Yi Lu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

Abstract

Detection of hierarchical and overlapping community structures for social networks is crucial in social network analysis. Previous strategies were focused on a two-stage strategy for separately detecting hierarchical and overlapping community structures. This paper develops a one-stage memetic algorithm for concurrently detecting hierarchical and overlapping community structures in social networks, where quality evaluation functions, community capacity, and hierarchical levels are taken into account to increase the solution quality. This algorithm includes a local search scheme to improve the solution searching ability. Through simulation, this algorithm shows pleasing quality.

Keywords

Hierarchical and overlapping community structure Social network Memetic algorithm 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Chun-Cheng Lin
    • 1
  • Der-Jiunn Deng
    • 2
  • Jung-Chao Wu
    • 1
  • Liang-Yi Lu
    • 1
  1. 1.Department of Industrial Engineering and ManagementNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational Changhua University of EducationChanghuaTaiwan

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