Identifying online user reputation of user-object bipartite networks

doi:10.1016/j.physa.2016.10.031

CORC > 上海财经大学 > 上海财经大学

	Identifying online user reputation of user-object bipartite networks
	Liu, Xiao-Lu 1; Liu, Jian-Guo 1,2,3; Yang, Kai 1; Guo, Qiang 1; Han, Jing-Ti 2
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2017-02
卷号	467 页码:508-516
关键词	Online rating system User reputation Object quality Beta distribution
ISSN号	0378-4371
DOI	10.1016/j.physa.2016.10.031
英文摘要	Identifying online user reputation based on the rating information of the user-object bipartite networks is important for understanding online user collective behaviors. Based on the Bayesian analysis, we present a parameter-free algorithm for ranking online user reputation, where the user reputation is calculated based on the probability that their ratings are consistent with the main part of all user opinions. The experimental results show that the AUC values of the presented algorithm could reach 0.8929 arid 0.8483 for the MovieLens and Netflix data sets, respectively, which is better than the results generated by the CR and IARR methods. Furthermore, the experimental results for different user groups indicate that the presented algorithm outperforms the iterative ranking methods in both ranking accuracy and computation complexity. Moreover, the results for the synthetic networks show that the computation complexity of the presented algorithm is a linear function of the network size, which suggests that the presented algorithm is very effective and efficient for the large scale dynamic online systems. (C) 2016 Elsevier B.V. All rights reserved.
WOS研究方向	Physics
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000389389500048
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/1053]
专题	上海财经大学
通讯作者	Liu, Jian-Guo
作者单位	1.Univ Shanghai Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China; 2.Shanghai Univ Finance & Econ, Data Sci & Cloud Serv Ctr, Shanghai 200433, Peoples R China; 3.Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland
推荐引用方式 GB/T 7714	Liu, Xiao-Lu,Liu, Jian-Guo,Yang, Kai,et al. Identifying online user reputation of user-object bipartite networks[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2017,467:508-516.
APA	Liu, Xiao-Lu,Liu, Jian-Guo,Yang, Kai,Guo, Qiang,&Han, Jing-Ti.(2017).Identifying online user reputation of user-object bipartite networks.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,467,508-516.
MLA	Liu, Xiao-Lu,et al."Identifying online user reputation of user-object bipartite networks".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 467(2017):508-516.