Collective iteration behavior for online social networks

doi:10.1016/j.physa.2018.02.069

CORC > 上海财经大学 > 上海财经大学

	Collective iteration behavior for online social networks
	Liu, Jian-Guo 1,2; Li, Ren-De 3,4; Guo, Qiang 3; Zhang, Yi-Cheng 5
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2018-06
卷号	499 页码:490-497
关键词	Social signature Ego networks Preferential interaction
ISSN号	0378-4371
DOI	10.1016/j.physa.2018.02.069
英文摘要	Understanding the patterns of collective behavior in online social network (OSNs) is critical to expanding the knowledge of human behavior and tie relationship. In this paper, we investigate a specific pattern called social signature in Facebook and Wiki users' online communication behaviors, capturing the distribution of frequency of interactions between different alters over time in the ego network. The empirical results show that there are robust social signatures of interactions no matter how friends change over time, which indicates that a stable commutation pattern exists in online communication. By comparing a random null model, we find the that commutation pattern is heterogeneous between ego and alters. Furthermore, in order to regenerate the pattern of the social signature, we present a preferential interaction model, which assumes that new users intend to look for the old users with strong ties while old users have tendency to interact with new friends. The experimental results show that the presented model can reproduce the heterogeneity of social signature by adjusting 2 parameters, the number of communicating targets m and the max number of interactions n, for Facebook users, m = n = 5, for Wiki users, m = 2 and n = 8. This work helps in deeply understanding the regularity of social signature. (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:000428493900046
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/614]
专题	上海财经大学
通讯作者	Liu, Jian-Guo
作者单位	1.Shanghai Univ Finance & Econ, Res Ctr Fin Tech, Shanghai 200433, Peoples R China; 2.Shanghai Univ Finance & Econ, Shanghai Key Lab Fin Inf Tech, Shanghai 200433, Peoples R China; 3.Univ Shanghai Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China; 4.Univ Shanghai Sci & Technol, Shanghai 200093, Peoples R China; 5.Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland
推荐引用方式 GB/T 7714	Liu, Jian-Guo,Li, Ren-De,Guo, Qiang,et al. Collective iteration behavior for online social networks[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2018,499:490-497.
APA	Liu, Jian-Guo,Li, Ren-De,Guo, Qiang,&Zhang, Yi-Cheng.(2018).Collective iteration behavior for online social networks.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,499,490-497.
MLA	Liu, Jian-Guo,et al."Collective iteration behavior for online social networks".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 499(2018):490-497.