Propensity Index Drives Information Spreading

doi:10.1109/ICDSCA59871.2023.10393145

IR > 计算机与通信学院

	Propensity Index Drives Information Spreading
	Nian, Fuzhong; Feng, Zhugao
	2023
会议名称	2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023
会议录名称	2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023
页码	495-498
会议日期	October 27, 2023 - October 29, 2023
会议地点	Dalian, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	This paper proposes a propensity index based on the propensity of individuals to disseminate public opinion information, and investigates the influence of the propensity index on the process of information dissemination and the density of infection in the network. The results show that the propensity index affects the process of information dissemination and the change of infection density, the higher the propensity index of an individual, the faster the information dissemination in the network, and the information dissemination method with a dynamic propensity index is more in line with the information dissemination law in reality. © 2023 IEEE.
DOI	10.1109/ICDSCA59871.2023.10393145
收录类别	EI
语种	英语
EI入藏号	20240815569821
原始文献类型	Conference article (CA)
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/170012
专题	计算机与通信学院
通讯作者	Nian, Fuzhong
作者单位	Lanzhou University of Technology, Lanzhou, China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Nian, Fuzhong,Feng, Zhugao. Propensity Index Drives Information Spreading[C]:Institute of Electrical and Electronics Engineers Inc.,2023:495-498.