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Inferring overlapping community structure with degree-corrected block model

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  • Qu, Yingfei
  • Shi, Weiren
  • Shi, Xin

Abstract

Recent research has shown great interest in statistical inference methods for community detection, not only in models and algorithms but also in the detectability. In this paper we propose a fast community detection algorithm based on the degree-corrected block model. By introducing a parameter to select the candidate solutions, our algorithm is able to detect overlapping communities. Experiments on a range of networks have achieved state-of-the-art results. Moreover, we show that the algorithm based on the degree-corrected block model also suffers the detectability limitation, which is in accord with the most recent research on the detectability threshold.

Suggested Citation

  • Qu, Yingfei & Shi, Weiren & Shi, Xin, 2015. "Inferring overlapping community structure with degree-corrected block model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 48-54.
    • Handle: RePEc:eee:phsmap:v:419:y:2015:i:c:p:48-54
    DOI: 10.1016/j.physa.2014.10.025
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    References listed on IDEAS

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    1. Shen, Huawei & Cheng, Xueqi & Cai, Kai & Hu, Mao-Bin, 2009. "Detect overlapping and hierarchical community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1706-1712.
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    Cited by:

    1. Wu, Jianshe & Zhang, Long & Li, Yong & Jiao, Yang, 2016. "Partition signed social networks via clustering dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 568-582.
    2. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    3. Qu, Yingfei & Shi, Weiren & Shi, Xin, 2017. "An improved algorithm for generalized community structure inference in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 41-48.

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