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Modeling the reemergence of information diffusion in social network

文献类型：期刊论文

作者Yang, Dingda3,4; Liao, Xiangwen3,5; Shen, Huawei1,2; Cheng, Xueqi1,2; Chen, Guolong3,4
刊名PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
出版日期2018-01-15
卷号490页码:1493-1500
关键词Social network Information diffusion Information reemergence
ISSN号0378-4371
DOI10.1016/j.physa.2017.08.115
英文摘要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.
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
语种英语
WOS记录号WOS:000415912900133
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/5485]  
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China
3.Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou 350116, Fujian, Peoples R China
4.Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350116, Fujian, Peoples R China
5.Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, 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.

入库方式： OAI收割

来源：计算技术研究所

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