Local memory boosts label propagation for community detection
نویسندگان
چکیده
منابع مشابه
Community Detection Using Robust Label Propagation Algorithm
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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ژورنال
عنوان ژورنال: Applied Network Science
سال: 2019
ISSN: 2364-8228
DOI: 10.1007/s41109-019-0210-8