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An Estimation Method for Relationship Strength in Weighted Social Network Graphs 被引量:6

An Estimation Method for Relationship Strength in Weighted Social Network Graphs
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摘要 Previous works mainly focused on estimating direct relationship strength in social networks. If two users are not directly connected in a social network, there is no direct relationship. In order to estimate the relationship strength between two indirectly connected users as well as directly connected users, this paper proposes an estimation method for relationship strength in weighted social network graphs, which is based on the trust propagation strategy and the estimation of direct relationship strength. Our method considers the length of a relationship path, the number of relationship paths and the edge weights (direct relationship strength) along with a relationship path to estimate the strength of indirect relationship. Then it synthesizes the direct and indirect relationship strength to represent the strength of relationship between two users in social net- works. Thus our method can fully estimate the relationship strength between any two users in a social network no matter whether they are directly connected or not. Previous works mainly focused on estimating direct relationship strength in social networks. If two users are not directly connected in a social network, there is no direct relationship. In order to estimate the relationship strength between two indirectly connected users as well as directly connected users, this paper proposes an estimation method for relationship strength in weighted social network graphs, which is based on the trust propagation strategy and the estimation of direct relationship strength. Our method considers the length of a relationship path, the number of relationship paths and the edge weights (direct relationship strength) along with a relationship path to estimate the strength of indirect relationship. Then it synthesizes the direct and indirect relationship strength to represent the strength of relationship between two users in social net- works. Thus our method can fully estimate the relationship strength between any two users in a social network no matter whether they are directly connected or not.
出处 《Journal of Computer and Communications》 2014年第4期82-89,共8页 电脑和通信(英文)
关键词 SOCIAL NETWORKS RELATIONSHIP STRENGTH Estimation Social Networks Relationship Strength Estimation
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  • 1张茗,朱文琪.微信使用中的情绪感染:关系紧密度的作用[J].中国健康心理学杂志,2020,0(4):548-552. 被引量:6
  • 2赵云龙,李艳兵.社交网络用户的人格预测与关系强度研究[A].第七届(2012)中国管理学年会商务智能分会场论文集(选编)[C].2012.
  • 3Ong J. China's Sina Weibo grew 73% in 2012, passing 500 million registered accounts [ EB/OL ]. [ 2013 - 02 - 21 ]. http ://thenextweb. com/asia/2013/02/21/chinas-sina- weibo-grew-73 -in-2012-passing-500-million-registered- accounts/? utm_source = tuicool&utm_medium = referral.
  • 4Xiang R, Neville J, Rogati M. Modeling relationship strength in online social networks [ C ]//Proceedings of the 19th international conference on World wide web. ACM, 2010 : 981-990.
  • 5Zhao X ,Yuan J, Li G, et al. Relationship strength estimation for online social networks with the study on Facebook [J]. Neurocomputing, 2012, 95: 89-97.
  • 6Gilbert E,Karahalios K. Predicting tie strength with social media[ C ]//Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2009: 211- 220.
  • 7Wilson C,Boe B,Sala A,et al. User interactions in social networks and their implications [ C ]//Proceedings of the 4th ACM European conference on Computer systems. Acm, 2009 : 205-218.
  • 8Xiang R, Neville J, Rogati M. Modeling relationship strength in online social networks [ C ]//Proceedings of the 19th international conference on World wide web. ACM, 2010: 981-990.
  • 9Viswanath B,Mislove A,Cha M, et al. On the evolution of user interaction in facebook [ C ]//Proceedings of the 2nd ACM workshop on Online social networks. ACM, 2009 : 37-42.
  • 10Zhao X, Yuan J, Li G, et al. Relationship strength estimation for online social networks with the study on Facebook[ J]. Neurocomputing, 2012, 95 : 89-97.

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