计算机技术、信息工程 |
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加权网络中基于多路径节点相似性的链接预测 |
郭景峰,刘苗苗,罗旭 |
1. 燕山大学 信息科学与工程学院,河北 秦皇岛 066004;
2. 东北石油大学 秦皇岛分校, 黑龙江 大庆 163318|
3. 燕山大学 河北省虚拟技术与系统集成重点实验室,河北 秦皇岛 066004 |
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Link prediction based on similarity of nodes of multipath in weighted social networks |
GUO Jing feng,LIU Miao miao,LUO Xu |
1. College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China;
2. Qinhuangdao Branch,Northeast Petroleum University, Daqing 163318, China;
3. Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University,Qinhuangdao 066004, China |
[1] KUMAR R, NOVAK J, TOMKINS A. Structure and evolution of online social networks [C]∥ Proceedings of the ACM SIGKDD. New York: ACM, 2006: 611-617.
[2] GALLAGHER B, TONG H, ELIASSIRAD T, et al. Using ghost edges for classification in sparsely labeled networks [C]∥Proceedings of the ACM SIGKDD. New York: ACM, 2008: 256-264.
[3] 吕琳媛. 复杂网络链路预测[J]. 电子科技大学学报, 2010, 39(5): 651-661.
LV Linyuan. Link prediction of complex networks [J]. Journal of University of Electronic Science and Technology of China, 2010, 39(5): 651-661.
[4] YU H, BRAUN P, YILDIRIM M A, et al. Highquality binary protein interaction map of the yeast interactome network [J]. Science, 2008, 322(5898): 104110.
[5] NEWMAN M. The structure and function of complex networks [J]. SIAM Review, 2003, 45(2): 167-256.
[6] 张扬夫. 有向与加权网络的链路预测[D]. 湘潭:湘潭大学, 2011: 511.
ZHANG Yangfu. Link prediction in directed and weighted networks [D]. Xiangtan: Xiangtan University, 2011: 511.
[7] ADAMIC L, ADAR E. How to search a social network [J]. Social Networks, 2005, 27 (3): 187-203.
[8] NEWMAN M. Clustering and preferential attachment in growing networks [J]. Physical Review E, 2001, 64(2): 025102-1-4.
[9] 姚尊强.加权复杂网络的分析和预测[D]. 青岛: 青岛理工大学, 2012: 35-43.
YAO Zunqiang. The analysis and prediction of weighted complex networks [D]. Qingdao: Qingdao Technological University, 2012: 35-43.
[10] KATZ L. A new status index derived from social metric analysis [J]. Psychometrika, 1953, 18(1): 39-43.
[11] 张珊靓, 周晏. 基于随机游走的时间加权社会网络链接预测算法[J].计算机应用与软件, 2014, 31(7): 28-30.
ZHANG Shanliang, ZHOU Yan. Time weighted social networks link prediction algorithm based on random walk [J]. Computer Application and Software, 2014, 31(7): 28-30.
[12] ZHOU Tao, LV Linyuan, ZHANG Yicheng. Predicting missing links via local information [J]. The European Physical Journal B, 2009, 10(1140): 623-630.
[13] PANAGIOTIS S, ELEFTHERIOS T, YANNIS M. Transitive node similarity for link prediction in social networks with positive and negative links [C]∥ Proceedings of the 4th ACM Conference on Recommender System. Barcelona: ACM, 2010: 183-190.
[14] 李淑玲. 基于相似性的链接预测方法研究[D]. 哈尔滨:哈尔滨工程大学, 2012: 25-46.
LI Shuling. Research on link prediction methods based on the similarity [D]. Harbin: Harbin Engineering University, 2012: 25-46.
[15] 李彦敏.基于链接依赖度的链接预测[D].长春:吉林大学, 2013: 20-33.
LI Yanmin. Link prediction based on link dependency [D]. Changchun: Jilin University, 2013: 20-33.
[16] 涂一娜. 具有时间感知的加权网络链路预测研究[D]. 长沙: 中南大学, 2014: 20-43.
TU Yina. Study on link prediction of the weighted networks with timeaware [D]. Changsha: Zhongnan University, 2014: 20-43.
[17] LV Linyuan, ZHOU Tao. Link prediction in weighted networks: the role of weak ties [J]. Europhysics Letters, 2010, 89: 18001.
[18] 余宏俊. 基于符号网络的社群分析方法研究[D]. 武汉:华中科技大学, 2011: 31-32.
YU Hongjun. The research of community analysis based on signed social networks [D]. Wuhan: Huazhong University of Science and Technology, 2011: 31-32. |
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