The Propagation Background in Social Networks: Simulating and Modeling

doi:10.1007/s11633-020-1227-2

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	The Propagation Background in Social Networks: Simulating and Modeling
	Kai Li 1; Tong Xu 1; Shuai Feng 2; Li-Sheng Qiao 1; Hua-Wei Shen 3; Tian-Yang Lv 2; Xue-Qi Cheng 3; En-Hong Chen 1
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2020
卷号	17 期号:3 页码:353-363
摘要	Recent years have witnessed the booming of online social network and social media platforms, which leads to a state of information explosion. Though extensive efforts have been made by publishers to struggle for the limited attention of audiences, still, only a few of information items will be received and digested. Therefore, for simulating the information propagation process, competition among propagating items should be considered, which has been largely ignored by prior works on propagation modeling. One possible reason may be that, it is almost impossible to identify the influence of propagation background from real diffusion data. To that end, in this paper, we design a comprehensive framework to simulate the propagation process with the characteristics of user behaviors and network topology. Specifically, we propose a propagation background simulating (PBS) algorithm to simulate the propagation background by using users′ behavior dynamics and out-degree. Along this line, an IC_PB (independent cascade with propagation background) model is adapted to relieve the impact of propagation background by using users′ in-degree. Extensive experiments on kinds of synthetic and real networks have demonstrated the effectiveness of our methods.
关键词	Social network information overload propagation background simulating modeling.
DOI	10.1007/s11633-020-1227-2
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42285
专题	学术期刊_Machine Intelligence Research
作者单位	1.School of Computer Science and Technology, University of Science and Technoloty of China, Hefei 230027, China 2.IT Center of Chinese National Audit Office, Beijing 100073, China 3.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
推荐引用方式 GB/T 7714	Kai Li,Tong Xu,Shuai Feng,et al. The Propagation Background in Social Networks: Simulating and Modeling[J]. International Journal of Automation and Computing,2020,17(3):353-363.
APA	Kai Li.,Tong Xu.,Shuai Feng.,Li-Sheng Qiao.,Hua-Wei Shen.,...&En-Hong Chen.(2020).The Propagation Background in Social Networks: Simulating and Modeling.International Journal of Automation and Computing,17(3),353-363.
MLA	Kai Li,et al."The Propagation Background in Social Networks: Simulating and Modeling".International Journal of Automation and Computing 17.3(2020):353-363.

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