Community Expansion Model Based on Charged System Theory

  • Yuanjun Bi
  • Weili Wu
  • Ailian Wang
  • Lidan Fan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7936)


Recently, the phenomenon of influence propagation becomes a hot topic in social networks. However, few existing influence models study the influence from communities, which has a large range of applications. In this paper, we use the charged system model to represent the social influence. This model provides a natural description about the behaviors of influence and explains why the influence makes communities expand. Based on this physical model, we propose two objective functions for choosing proper candidates to enlarge a community, considering of the cost and benefit issue. Then a linear programming approach is given to maximize those two objective functions. We validate our ideas and algorithm using two real-world networks. The results demonstrate that our model can choose excellent propagation candidates for a specific community, comparing to other two algorithms.


community expansion physical model social influence linear programming 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yuanjun Bi
    • 1
  • Weili Wu
    • 1
    • 2
  • Ailian Wang
    • 2
  • Lidan Fan
    • 1
  1. 1.Department of Computer ScienceUniversity of Texas at DallasRichardsonUSA
  2. 2.College of Computer Science and TechnologyTaiYuan University of TechnologyTaiyuanChina

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