Modeling the reemergence of information diffusion in social network

doi:10.1016/j.physa.2017.08.115

	Modeling the reemergence of information diffusion in social network
	Yang, Dingda 1,4; Liao, Xiangwen 2,4; Shen, Huawei 3,5; Cheng, Xueqi 3,5; Chen, Guolong 1,4
	2018-01-15
发表期刊	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
ISSN	0378-4371
卷号	490 页码:1493-1500
摘要	Information diffusion in networks is an important research topic in various fields. Existing studies either focus on modeling the process of information diffusion, e.g., independent cascade model and linear threshold model, or investigate information diffusion in networks with certain structural characteristics such as scale-free networks and small world networks. However, there are still several phenomena that have not been captured by existing information diffusion models. One of the prominent phenomena is the reemergence of information diffusion, i.e., a piece of information reemerges after the completion of its initial diffusion process. In this paper, we propose an optimized information diffusion model by introducing a new informed state into traditional susceptible-infected-removed model. We verify the proposed model via simulations in real-world social networks, and the results indicate that the model can reproduce the reemergence of information during the diffusion process. (C) 2017 Elsevier B.V. All rights reserved.
关键词	Social network Information diffusion Information reemergence
DOI	10.1016/j.physa.2017.08.115
收录类别	SCI
语种	英语
资助项目	National Basic Research Program of China (973 Program)[2014CB340401] ; National Natural Science Foundation of China[61772135] ; National Natural Science Foundation of China[61472400] ; National Natural Science Foundation of China[U1605251] ; Open Project of Key Laboratory of Network Data Science & Technology of Chinese Academy of Sciences[CASNDST201606] ; Directors Project Fund of Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education[2017KF01]
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:000415912900133
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5486
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liao, Xiangwen
作者单位	1.Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350116, Fujian, Peoples R China 2.Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou 350116, Fujian, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yang, Dingda,Liao, Xiangwen,Shen, Huawei,et al. Modeling the reemergence of information diffusion in social network[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2018,490:1493-1500.
APA	Yang, Dingda,Liao, Xiangwen,Shen, Huawei,Cheng, Xueqi,&Chen, Guolong.(2018).Modeling the reemergence of information diffusion in social network.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,490,1493-1500.
MLA	Yang, Dingda,et al."Modeling the reemergence of information diffusion in social network".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 490(2018):1493-1500.