Modelling heterogeneous information spreading abilities of social network ties
文献类型:期刊论文
作者 | Ou, Chengeng; Jin, Xiaolong2; Wang, Yuanzhuo; Cheng, Xueqi |
刊名 | SIMULATION MODELLING PRACTICE AND THEORY
![]() |
出版日期 | 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 |
WOS记录号 | WOS:000401079100005 |
出版者 | ELSEVIER SCIENCE BV |
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. |
入库方式: OAI收割
来源:计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。