SUN Liping, LIU Jun, ZHENG Xiaoyao, et al., “An Efficient and Adaptive Method for Overlapping Community Detection in Real-World Networks,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1126-1132, 2018, doi: 10.1049/cje.2017.09.012
Citation: SUN Liping, LIU Jun, ZHENG Xiaoyao, et al., “An Efficient and Adaptive Method for Overlapping Community Detection in Real-World Networks,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1126-1132, 2018, doi: 10.1049/cje.2017.09.012

An Efficient and Adaptive Method for Overlapping Community Detection in Real-World Networks

doi: 10.1049/cje.2017.09.012
Funds:  This work is supported by the National Natural Science Foundation of China (No.61602009, No.61672039), the Anhui Provincial Natural Science Foundation (No.1608085MF145), and the University Natural Science Research Project of Anhui Province (No.KJ2015A067).
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  • Corresponding author: LUO Yonglong (corresponding author) was born in 1972. He received the Ph.D. degree in computer science and technology from University of Science and Technology of China. Currently, he is a professor and Ph.D. supervisor at Anhui Normal University. His research interests include information security and spatial data processing. (Email:ylluo@ustc.edu.cn)
  • Received Date: 2017-05-16
  • Rev Recd Date: 2017-07-14
  • Publish Date: 2018-11-10
  • In real-world networks, nodes may belong to more than one community simultaneously. Overlapping community detection in complex networks is a challenging task. An adaptive overlapping community detection method based on seed selection and expansion is proposed. Depending on the restrictions on the seed selection stage, a set of seeds is generated without specified set size. The personalized PageRank algorithm is used to evaluate the community for seed expansion. The uncovered nodes could be adaptively allocated to the appropriate clusters. A thorough comparison between the proposed method and other overlapping community detection methods considered is provided to indicate the effectiveness of the former. The experimental results demonstrate that the presented method is effective.
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