The Propagation Background in Social Networks: Simulating and Modeling

doi:10.1007/s11633-020-1227-2

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	The Propagation Background in Social Networks: Simulating and Modeling
	Kai Li 2; Tong Xu 2; Shuai Feng 3; Li-Sheng Qiao 2; Hua-Wei Shen 1; Tian-Yang Lv 3; Xue-Qi Cheng 1; En-Hong Chen 2
刊名	International Journal of Automation and Computing
	2020
卷号	17 期号:3 页码:353-363
关键词	Social network information overload propagation background simulating modeling.
ISSN号	1476-8186
DOI	10.1007/s11633-020-1227-2
英文摘要	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.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42285]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China 2.School of Computer Science and Technology, University of Science and Technoloty of China, Hefei 230027, China 3.IT Center of Chinese National Audit Office, Beijing 100073, 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.