南方科技大学知识苑(SUSTech KC): Application of percolation model in spreading dynamics driven by social networks big data

题名	Application of percolation model in spreading dynamics driven by social networks big data
作者	Li，Cong 1; Xie，Jiarong 2; Wang，Jinghui 3 ; Zeng，Yutian3 ; Zhou，Tianshou 4; Zhang，Xiyun 5; Hu，Yanqing3
通讯作者	Zhang，Xiyun; Hu，Yanqing
发表日期	2023-03-01
DOI	10.1209/0295-5075/acbfd8
发表期刊	EPL 影响因子和分区
ISSN	0295-5075
EISSN	1286-4854
卷号	141 期号:6
摘要	Spreading dynamics is a common yet sophisticated phenomenon in real life, and percolation theory is widely applied in analysis of this dynamics due to its conciseness and efficiency. With the development of information technology, the quality and quantity of available data are being improved. Although this offers a chance to describe and understand empirical spreading phenomena more comprehensively and accurately, complicated dynamics brought by massive data pose new challenges to the study of social contagion based on percolation theory. In this prospective, we show, by analyzing examples, how the percolation theory is used to describe the information transmission on social networks driven by big data. We also explore the indirect influence mechanism behind the spread of scientific research behavior, and develop a new algorithm to quantify the global influence of nodes from the local topology. Finally, we propose, based on these example studies, several possible new directions of percolation theory in the study of social contagion driven by big data.
相关链接	[Scopus记录]
收录类别	SCI
语种	英语
学校署名	通讯
资助项目	Natural Science Foundation of Guangdong for Distinguished Youth Scholar, Guangdong Provincial Department of Science and Technology[2020B1515020052] ; National Natural Science Foundation of China["12105117","61903385","2019TQ05X138"] ; null[12275118]
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:000960409500017
出版者	IOP Publishing Ltd
ESI学科分类	PHYSICS
Scopus记录号	2-s2.0-85150026969
来源库	Scopus
引用统计	被引频次[WOS]：0
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/536660
专题	理学院_统计与数据科学系理学院
作者单位	1.School of Systems Science and Engineering,Sun Yat-sen University - Guangzhou,Guangdong,510006,China 2.School of Computer Science and Engineering,Sun Yat-sen University - Guangzhou,Guangdong,510006,China 3.Department of Statistics and Data Science,College of Science,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China 4.School of Mathematics,Sun Yat-sen University,Guangzhou,Guangdong,510275,China 5.Department of Physics,Jinan University,Guangzhou,Guangdong,510632,China
通讯作者单位	统计与数据科学系; 理学院
推荐引用方式 GB/T 7714	Li，Cong,Xie，Jiarong,Wang，Jinghui,et al. Application of percolation model in spreading dynamics driven by social networks big data[J]. EPL,2023,141(6).
APA	Li，Cong.,Xie，Jiarong.,Wang，Jinghui.,Zeng，Yutian.,Zhou，Tianshou.,...&Hu，Yanqing.(2023).Application of percolation model in spreading dynamics driven by social networks big data.EPL,141(6).
MLA	Li，Cong,et al."Application of percolation model in spreading dynamics driven by social networks big data".EPL 141.6(2023).