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Community Detection Based on Robust Label Propagation Algorithm

  • Bingying Xu
  • Zheng Liang
  • Yan Jia
  • Bin Zhou
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 320)

Abstract

Label propagation algorithm has been proved to be an effective method for community detection in large-scale complex networks. Though many effects have been devoted to improve the original label propagation algorithm, its robustness has still not been well addressed. The random update strategy of node’s label not only affects the robustness of the algorithm, but also the stability and consistency of community discovery. In this paper, we propose a robust label propagation algorithm to overcome this defect and apply it to community detection by modify update policy. As the experimental results on the real social network indicated, besides maintaining the simplicity of the original algorithm, the proposed algorithm also improves its stability and performance. The results on Sina-Microblog data set have verified that structural features of online social network have close relationship with its semantic features.

Keywords

label propagation algorithm stability social network Sina- Microblog community detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bingying Xu
    • 1
  • Zheng Liang
    • 1
  • Yan Jia
    • 1
  • Bin Zhou
    • 1
  1. 1.School of Computer ScienceNational University of Defense TechnologyHunanChina

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