Journal
PHYSICS LETTERS A
Volume 381, Issue 33, Pages 2691-2698Publisher
ELSEVIER
DOI: 10.1016/j.physleta.2017.06.018
Keywords
Large-scale social network; Community detection; Label propagation; Node importance; Label influence
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Recently, the detection of high-quality community has become a hot spot in the research of social network. Label propagation algorithm (LPA) has been widely concerned since it has the advantages of linear time complexity and is unnecessary to define objective function and the number of community in advance. However, LPA has the shortcomings of uncertainty and randomness in the label propagation process, which affects the accuracy and stability of the community. For large-scale social network, this paper proposes a novel label propagation algorithm for community detection based on node importance and label influence (LPA_NI). The experiments with comparative algorithms on real-world networks and synthetic networks have shown that LPA_NI can significantly improve the quality of community detection and shorten the iteration period. Also, it has better accuracy and stability in the case of similar complexity. (C) 2017 Elsevier B.V. All rights reserved.
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