Modelling heterogeneous information spreading abilities of social network ties

doi:10.1016/j.simpat.2017.03.007

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Modelling heterogeneous information spreading abilities of social network ties
	Ou, Chengeng ; Jin, Xiaolong 2; Wang, Yuanzhuo ; Cheng, Xueqi
刊名	SIMULATION MODELLING PRACTICE AND THEORY
	2017-06-01
卷号	75 页码:67-76
关键词	Information spreading Small world network Random network User attention modelling
ISSN号	1569-190X
DOI	10.1016/j.simpat.2017.03.007
英文摘要	Information spreading is often analyzed comparatively on small-world and random networks. Topological differences between small-world networks and random networks are believed to be main reasons that lead to various different spreading behaviours on these two types of networks. Besides those differences, the heterogeneity of spreading abilities of network ties is often overlooked. In this study, we analyze the impacts of the heterogeneity on information spreading over small-world networks and random networks. Through simulations on both artificial and realistic networks, we find that the strong heterogeneity leads to lower efficiency of spreading over small-world networks. The heterogeneity not only slows down the spreading pace, but also lengthens the life span of the information spread over small-world networks. Under such strong heterogeneity, random networks, which are affected little, are better for information spreading. However, as the heterogeneity decreases, small-world networks finally exceed random networks when regarding information spreading. We also conduct experiments to review the weak ties assumption in small-world networks. We find that the heterogeneity forces information to bypass weak ties and travels along strongly connected nodes. (C) 2017 Elsevier B.V. All rights reserved.
资助项目	National Key Research and Development Program of China[2016YFB1000902] ; National Natural Science Foundation of China[61572473] ; National Natural Science Foundation of China[61572469] ; National Natural Science Foundation of China[61402442] ; National Natural Science Foundation of China[91646120] ; European Union[PIRSES-GA-2012-318939]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000401079100005
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/7160]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jin, Xiaolong
作者单位	1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ou, Chengeng,Jin, Xiaolong,Wang, Yuanzhuo,et al. Modelling heterogeneous information spreading abilities of social network ties[J]. SIMULATION MODELLING PRACTICE AND THEORY,2017,75:67-76.
APA	Ou, Chengeng,Jin, Xiaolong,Wang, Yuanzhuo,&Cheng, Xueqi.(2017).Modelling heterogeneous information spreading abilities of social network ties.SIMULATION MODELLING PRACTICE AND THEORY,75,67-76.
MLA	Ou, Chengeng,et al."Modelling heterogeneous information spreading abilities of social network ties".SIMULATION MODELLING PRACTICE AND THEORY 75(2017):67-76.