Long-term memory of rating behaviors for the online trust formation

doi:10.1016/j.physa.2018.05.106

CORC > 上海财经大学 > 上海财经大学

	Long-term memory of rating behaviors for the online trust formation
	Guo, Xin-Yu 1; Guo, Qiang 1; Li, Ren-De 1; Liu, Jian-Guo 2
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2018-10-15
卷号	508 页码:254-264
关键词	Collective behavior Trust formation DFA Hurst exponent
ISSN号	0378-4371
DOI	10.1016/j.physa.2018.05.106
英文摘要	Investigating the dynamics of long-term memory in online rating behaviors is significant for understanding the evolution mechanism of collective behaviors and trust formation for online social networks. Since users are allowed to deliver ratings in many online systems, ratings can well reflect the user's opinions. In this paper, we empirically investigate the long-term memory, measured by the Detrended Fluctuation Analysis, in collective rating behaviors before and after the trust formation. The results for the Epinions data set show that, comparing with the null model generated by the reshuffle process, the Hurst exponent of trustors (trustees) decreases 7.12% (9.05%) before and increases 7.36% (9.20%) after trust formation, which stably remains close to 0.5 in null model I and 0.6 in null model II, suggesting that the collective rating behavior plays an important role for the trust formation. Furthermore, we divide users into 8 groups according to the user degree and find that the correlation of the user degree and the variation of Hurst exponent, measured by the Pearson Correlation Coefficient, is 0.8629 and 0.8620 before and after trust formation respectively, reflecting a significant correlation between user degrees and collective rating behavior patterns. Finally, we select the users without creating other trust relations around the trust formation time and the result suggests that the collective rating behaviors indeed change for the trust formation. This work helps deeply understand the intrinsic feedback effects between collective behaviors and trust relationship. (C) 2018 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:000440122200024
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/491]
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 Res Ctr, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Guo, Xin-Yu,Guo, Qiang,Li, Ren-De,et al. Long-term memory of rating behaviors for the online trust formation[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2018,508:254-264.
APA	Guo, Xin-Yu,Guo, Qiang,Li, Ren-De,&Liu, Jian-Guo.(2018).Long-term memory of rating behaviors for the online trust formation.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,508,254-264.
MLA	Guo, Xin-Yu,et al."Long-term memory of rating behaviors for the online trust formation".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 508(2018):254-264.