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OALib Journal期刊
ISSN: 2333-9721
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Study on Algorithm of Community Detection Based on Information Entropy
基于信息熵的社区发现算法研究

Keywords: Community detection,Information entropy,Recommendation system,Data mining
社区发现,信息嫡,推荐系统,数据挖掘

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Abstract:

There are some faults of present community detection algorithm, which is based on the in degree, out degree and betweenness of nodes,we presented a algorithm based on Entropy to detect community structure. A community ineludes many information and it's Entropy. Members of a community have some common gains or interests, we think that if a member want to join a community, it can't make the entropy of the community exceed a threshold, otherwise it can't be the member of a exist community. Our experiments show the processing and the efficiency of our algorithms.

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