Mention effect in information diffusion on a micro-blogging network

doi:10.1371/journal.pone.0194192

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Mention effect in information diffusion on a micro-blogging network
	Bao, Peng 1; Shen, Hua-Wei 2; Huang, Junming 3,4,5; Chen, Haiqiang 6
刊名	PLOS ONE
	2018-03-20
卷号	13 期号:3 页码:13
ISSN号	1932-6203
DOI	10.1371/journal.pone.0194192
英文摘要	Micro-blogging systems have become one of the most important ways for information sharing. Network structure and users' interactions such as forwarding behaviors have aroused considerable research attention, while mention, as a key feature in micro-blogging platforms which can improve the visibility of a message and direct it to a particular user beyond the underlying social structure, is seldom studied in previous works. In this paper, we empirically study the mention effect in information diffusion, using the dataset from a population-scale social media website. We find that users with high number of followers would receive much more mentions than others. We further investigate the effect of mention in information diffusion by examining the response probability with respect to the number of mentions in a message and observe a saturation at around 5 mentions. Furthermore, we find that the response probability is the highest when a reciprocal followship exists between users, and one is more likely to receive a target user's response if they have similar social status. To illustrate these findings, we propose the response prediction task and formulate it as a binary classification problem. Extensive evaluation demonstrates the effectiveness of discovered factors. Our results have consequences for the understanding of human dynamics on the social network, and potential implications for viral marketing and public opinion monitoring.
资助项目	National Natural Science Foundation of China[61702031] ; National Natural Science Foundation of China[61472400] ; National Natural Science Foundation of China[61673150] ; Beijing Excellent Talents Supporting Program[2017000020124G054] ; Fundamental Research Funds for the Central Universities[2015RC031]
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	PUBLIC LIBRARY SCIENCE
WOS记录号	WOS:000427901500023
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/5740]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Bao, Peng
作者单位	1.Beijing Jiaotong Univ, Sch Software Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing, Peoples R China 3.Univ Elect Sci & Technol China, CompleX Lab, Web Sci Ctr, Chengdu, Sichuan, Peoples R China 4.Univ Elect Sci & Technol China, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China 5.Northeastern Univ, Ctr Complex Network Res, Boston, MA 02115 USA 6.China Informat Technol Secur Evaluat Ctr, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Bao, Peng,Shen, Hua-Wei,Huang, Junming,et al. Mention effect in information diffusion on a micro-blogging network[J]. PLOS ONE,2018,13(3):13.
APA	Bao, Peng,Shen, Hua-Wei,Huang, Junming,&Chen, Haiqiang.(2018).Mention effect in information diffusion on a micro-blogging network.PLOS ONE,13(3),13.
MLA	Bao, Peng,et al."Mention effect in information diffusion on a micro-blogging network".PLOS ONE 13.3(2018):13.