Modeling Information Propagation Driven by Attraction and Drag on Complex Network

doi:10.1109/AEECA49918.2020.9213612

IR > 计算机与通信学院

	Modeling Information Propagation Driven by Attraction and Drag on Complex Network
	Cao, Jun; Nian, Fuzhong; Yao, Yabing
	2020-08-01
会议名称	2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
会议录名称	Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
页码	49-55
会议日期	August 25, 2020 - August 27, 2020
会议地点	Dalian, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	The information propagated on the social network is affected by the intimate degree of the relationship among individuals. There are different relationships between individuals. In this study, a network model, including explicit (intimate) edge and implicit (non-intimate) edge, is constructed. Based on this network model, an information propagation mechanism driven by the attraction and drag is proposed, the explicit attraction and implicit attraction generated by the infected individuals to ignorant individuals during the process of the information propagation is studied, so, the explicit drag and implicit drag generated by the recovered individuals to ignorant individuals researched. The simulation experiment found that the major factor of information propagation is the explicit attraction and drag, and the implicit attraction and drag have few effects on information propagation. Based on the above results, a rumor propagation restrained strategy is designed, which reduces the explicit attraction and increases explicit drag of ignorant person. The experimental results clearly revealed the effectiveness of the proposed strategy and its important practical significance for realistic society. © 2020 IEEE.
关键词	Complex networks Information dissemination Information propagation Major factors Model informations Network modeling Rumor propagation
DOI	10.1109/AEECA49918.2020.9213612
收录类别	EI
语种	英语
EI入藏号	20204409440134
EI主题词	Drag
来源库	Compendex
分类代码	722 Computer Systems and Equipment - 903.2 Information Dissemination
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/118179
专题	计算机与通信学院
作者单位	Lanzhou University of Technology, School of Computer Communication, Lanzhou; 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Cao, Jun,Nian, Fuzhong,Yao, Yabing. Modeling Information Propagation Driven by Attraction and Drag on Complex Network[C]:Institute of Electrical and Electronics Engineers Inc.,2020:49-55.