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Modeling Information Propagation Driven by Attraction and Drag on Complex Network
Cao, Jun; Nian, Fuzhong; Yao, Yabing
2020-08-01
会议日期August 25, 2020 - August 27, 2020
会议地点Dalian, China
关键词Complex networks Information dissemination Information propagation Major factors Model informations Network modeling Rumor propagation
DOI10.1109/AEECA49918.2020.9213612
页码49-55
英文摘要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.
会议录Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
内容类型会议论文
源URL[http://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
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]. 见:. Dalian, China. August 25, 2020 - August 27, 2020.
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