Detecting Community Structure by Using a Constrained Label Propagation Algorithm
نویسندگان
چکیده
منابع مشابه
Detecting Community Structure by Using a Constrained Label Propagation Algorithm
Community structure is considered one of the most interesting features in complex networks. Many real-world complex systems exhibit community structure, where individuals with similar properties form a community. The identification of communities in a network is important for understanding the structure of said network, in a specific perspective. Thus, community detection in complex networks ga...
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Because there is so much randomness, the robustness of label propagation algorithm (LPA) is severely hampered. To reduce the randomness, a label propagation algorithm based on degree (LPAD) is proposed. Only the node with extreme degree is labeled initially, and the label is updated according to the sum degree of its neighbors during iteration. The results show that the randomness of LPAD is re...
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Community structure of networks provides comprehensive insight into their organizational structure and functional behavior. LPA is one of the most commonly adopted community detection algorithms with nearly linear time complexity. But it suffers from poor stability and occurrence of monster community due to the introduced randomize. We note that different community-oriented node roles impact th...
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Community detection is the fundamental problem in the analysis and understanding of complex networks, which has attracted a lot of attention in the last decade. Active learning aims to achieve high accuracy using as few labeled data as possible. However, so far as we know, active learning has not been applied to detect community to improve the performance of discovering community structure of c...
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Though label propagation algorithm (LPA) is one of the fastest algorithms for community detection in complex networks, the problem of trivial solutions frequently occurring in the algorithm affects its performance. We propose a label propagation algorithm with prediction of percolation transition (LPAp). After analyzing the reason for multiple solutions of LPA, by transforming the process of co...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0155320