【摘 要】
：
Social networks are a hot topic on Internet and are paid more attentions to.In social networks,each community unit contains much valuable information.The community division has become an important sub
【机 构】
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Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommuni
【出 处】
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2014年国际计算机科学与软件工程学术会议
论文部分内容阅读
Social networks are a hot topic on Internet and are paid more attentions to.In social networks,each community unit contains much valuable information.The community division has become an important subject of social networks.So far,many researchers have achieved a lot.But,more efficient methods for community division are still needed.In this paper,on the consideration of each node property in the social networking,we develop a novel iterative algorithm of the community division which is based on node similarity through the analysis of similarities between nodes and the nodes proximity relationship with the community.The experimental evaluation of Zacharys Karate Club and Dolphin networks the community networks indicate that the algorithm mentioned in this paper is very close to actual Social Networking and it has reliable division accuracy.Compared with the GN algorithm and FN algorithm,the proposed algorithm has improved the accuracy.
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