dc.creatorFan, Xiaoping
dc.creatorChen, Zhijie
dc.creatorCai, Fei
dc.creatorWu, Jinsong
dc.creatorLiu, Shengzong
dc.creatorLiao, Zhining
dc.creatorLiao, Zhifang
dc.date.accessioned2019-10-11T17:30:13Z
dc.date.available2019-10-11T17:30:13Z
dc.date.created2019-10-11T17:30:13Z
dc.date.issued2019
dc.identifierMobile Networks and Applications, Volumen 24, Issue 4, 2019, Pages 1373-1381
dc.identifier15728153
dc.identifier1383469X
dc.identifier10.1007/s11036-018-0994-2
dc.identifierhttps://repositorio.uchile.cl/handle/2250/171295
dc.description.abstract© 2018, Springer Science+Business Media, LLC, part of Springer Nature.The relationship of friends in social networks can be strong or weak. Some research works have shown that a close relationship between friends conducts good community structure. Based on this result, we propose an effective method in detecting community structure in social networks based on the closeness of relations among neighbors. This method calculates the gravity between each neighbor node to core nodes, then makes judgement if the node should be classified in the community or not, and finally form the process of community detection. The experimental results show that the proposed method can mine the social structure efficiently with a low computational complexity.
dc.languageen
dc.publisherSpringer New York LLC
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceMobile Networks and Applications
dc.subjectCommunity detection
dc.subjectCore members
dc.subjectSocial network
dc.titleLocal Core Members Aided Community Structure Detection
dc.typeArtículo de revista


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