Detecting hierarchical community structures in social networks using integer linear programming

Chun Cheng Lin*, Jia Rong Kang, Jyun Yu Chen, Chien Liang Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Detection of hierarchical community structures is one of the most crucial tasks for analyzing complicated social networks. In a hierarchical community structure, the super node at a higher level represents a nested structure so that the relationship of subcommunities in a community can be observed. Most of the previous works focused on designing metaheuristics for detecting hierarchical community structures, which may be computationally efficient, but cannot always guarantee the community partition optimality. Hence, this paper proposes an integer linear programming model for detecting the hierarchical community structure in social networks, which takes into account the number of levels and the limit of community size of each level. Our experimental results show that our model can find a reasonable hierarchical community structure, where the interaction between communities at different levels can be comprehended more clearly.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1136-1140
Number of pages5
ISBN (Electronic)9781479909865
DOIs
StatePublished - 18 Nov 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 10 Dec 201313 Dec 2013

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
CountryThailand
CityBangkok
Period10/12/1313/12/13

Keywords

  • community detection
  • hierarchical community structure
  • integer programming
  • Social network

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