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复杂系统与复杂性科学  2016, Vol. 13 Issue (1): 102-106    DOI: 10.13306/j.1672-3813.2016.01.011
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利用堆数据结构实现邻域重叠社团结构挖掘
任成磊, 韩定定, 蒲鹏, 张嘉诚
华东师范大学信息科学技术学院,上海 200241
Finding Overlapping Community in Network by Using Modularity and Partition Density
REN Chenglei, HAN Dingding, PU Peng, ZHANG Jiacheng
School of Information Science and Technology, East China Normal University, Shanghai 200241, China
全文: PDF(1230 KB)  
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摘要 基于当前复杂网络中社团划分算法普遍存在算法复杂度过高以及重叠节点挖掘不准确的局限性,提出了一种高效、快速、准确的社团划分算法。基于贪婪算法,建立最大模块度矩阵,并采用堆数据结构,划分非邻域重叠社团。通过分析局部网络的连边情况,计算邻域社团的划分密度,以准确挖掘社团间的重叠节点。新算法经过仿真分析和实证研究表明,算法复杂度降到近线性。
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任成磊
韩定定
蒲鹏
张嘉诚
关键词 社团挖掘邻域重叠模块度划分密度时间复杂度    
Abstract:The algorithms of detecting community in complex networks now have lots of disadvantages such as high complexity and ignorance of accurate overlapping nodes. This paper proposes a highly efficient, rapid and accurate community detection algorithm. Based on greedy algorithm, the community is divided by establishing the modularity matrix and adopting the data structure. Considering the edges between local communities, the overlapping community structure is accurately dug by computing the partition density. We evaluate our methods using both synthetic benchmarks and real-world networks, demonstrating the effectiveness of our approach. Our method runs in essentially linear time.
Key wordscommunity mining    overlapping community    modularity    partition density    time complexity
收稿日期: 2015-07-09      出版日期: 2025-02-25
ZTFLH:  TP393.02  
作者简介: 任成磊(1990-),男,山东烟台人,硕士研究生,主要研究方向为智能计算、复杂网络。
引用本文:   
任成磊, 韩定定, 蒲鹏, 张嘉诚. 利用堆数据结构实现邻域重叠社团结构挖掘[J]. 复杂系统与复杂性科学, 2016, 13(1): 102-106.
REN Chenglei, HAN Dingding, PU Peng, ZHANG Jiacheng. Finding Overlapping Community in Network by Using Modularity and Partition Density[J]. Complex Systems and Complexity Science, 2016, 13(1): 102-106.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2016.01.011      或      https://fzkx.qdu.edu.cn/CN/Y2016/V13/I1/102
[1] Girvan M, Newman M E J. Community structure in social and biological networks[J].Proceedings of the National Academy of Sciences, 2002, 99(12): 7821-7826.
[2] Adamic L A, Adar E. Friends and neighbors on the web[J].Social Networks, 2003, 25(3): 211-230.
[3] Holme P, Huss M, Jeong H. Subnetwork hierarchies of biochemical pathways[J].Bioinformatics, 2003, 19(4): 532-538.
[4] Newman M E J. The structure and function of complex networks[J].SIAM Review, 2003, 45(2): 167-256.
[5] Guimera R, Amaral L A N. Functional cartography of complex metabolic networks[J].Nature, 2005, 433(7028): 895-900.
[6] Flake G W, Lawrence S, Giles C L, et al. Self-organization and identification of web communities[J].Computer, 2002, 35(3): 66-70.
[7] Kernighan B W, Lin S. An efficient heuristic procedure for partitioning graphs[J].Bell System Technical Journal, 1970, 49(2): 291-307.
[8] Newman M E J, Girvan M. Finding and evaluating community structure in networks[J].Physical Review E, 2004, 69(2): 026113.
[9] Clauset A, Newman M E J, Moore C. Finding community structure in very large networks[J].Physical Review E, 2004, 70(6): 066111.
[10] Newman M E J. Finding community structure in networks using the eigenvectors of matrices[J].Physical Review E, 2006, 74(3): 036104.
[11] Zhang X S, Li Z, Wang R S, et al. A combinatorial model and algorithm for globally searching community structure in complex networks[J].Journal of Combinatorial Optimization, 2012, 23(4): 425-442.
[12] Palla G, Derényi I, Farkas I, et al. Uncovering the overlapping community structure of complex networks in nature and society[J].Nature, 2005, 435(7043): 814-818.
[13] 杨欢,韩定定. 完全子图的邻域重叠社团结构探测[J].现代电子技术, 2012, 35(18):122-126.
Yang H, Han D D. Improvement of neighbourhood overlapping community detection algorithm based on complete subgraph[J].Modern Electronics Technique, 2012, 35(18):122-126.
[14] Ahn Y Y, Bagrow J P, Lehmann S. Link communities reveal multiscale complexity in networks, 2010[J].Nature, 466: 761.
[15] Zhang Z Y, Wang Y, Ahn Y Y. Overlapping community detection in complex networks using symmetric binary matrix factorization[J].Physical Review E, 2013, 87(6): 062803.
[16] Zachary W W. An information flow model for conflict and fission in small groups[J].Journal of Anthropological Research, 1977: 452-473.
[17] Lusseau D, Schneider K, Boisseau O J, et al. The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations[J].Behavioral Ecology and Sociobiology, 2003, 54(4): 396-405.
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