标题:Research on the Community Detection Methods in Complex Networks
作者:Wang, Lu; Liang, Yongquan; Yang, Jie; Song, Chao; Cheng, Shuhan
作者机构:[Wang, Lu; Liang, Yongquan] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266590, Peoples R China.; [Wang, Lu; Song, Chao; Cheng, S 更多
会议名称:International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)
会议日期:JAN 11-12, 2014
来源:APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY
出版年:2014
卷:513-517
页码:2433-2438
DOI:10.4028/www.scientific.net/AMM.513-517.2433
关键词:complex networks; community structure; community detection; modularity; function; real-world networks
摘要:In recent 15 years, the study of complex networks has been gradually becoming an important issue. Community structure is an interesting property of complex networks. Researchers have made much exciting and important progress in community detection methods. The paper introduced the definition and significance of community structure; elaborates on the overview of community discovery algorithms and a proposed taxonomy according to the basic principle that they used. Modularity function was recommended briefly. Finally, described several popular test methods and benchmarks.
收录类别:CPCI-S;EI
资源类型:会议论文
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