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Factors influencing message dissemination through social media
Zheng ZY(郑泽宇)1,2,3; Yang HC(杨焕成)1,2,3; Fu Y(傅洋)1,2; Fu DZ(付殿峥)1,2; Podobnik, Boris4,5,6,7; Stanley, H. Eugene8
Department数字工厂研究室
Source PublicationPhysical Review E
ISSN2470-0045
2018
Volume97Issue:6Pages:1-6
Indexed BySCI ; EI
EI Accession number20182405303516
WOS IDWOS:000434467500005
Contribution Rank1
Funding OrganizationNational Natural Science Foundation ; NSF ; DTRA
Abstract

Online social networks strongly impact our daily lives. An internet user (a "Netizen") wants messages to be efficiently disseminated. The susceptible-infected-recovered (SIR) dissemination model is the traditional tool for exploring the spreading mechanism of information diffusion. We here test our SIR-based dissemination model on open and real-world data collected from Twitter. We locate and identify phase transitions in the message dissemination process. We find that message content is a stronger factor than the popularity of the sender. We also find that the probability that a message will be forwarded has a threshold that affects its ability to spread, and when the probability is above the threshold the message quickly achieves mass dissemination.

Language英语
WOS SubjectPhysics, Fluids & Plasmas ; Physics, Mathematical
WOS KeywordSCALE-FREE NETWORKS ; INFORMATION DIFFUSION ; COMPUTER VIRUSES ; SIR MODEL ; EPIDEMIC ; BEHAVIOR ; SPREAD
WOS Research AreaPhysics
Funding ProjectNational Natural Science Foundation[71671182] ; NSF[PHY-1505000] ; NSF[CMMI-1125290] ; NSF[CHE-1213217] ; DTRA[HDTRA1-14-1-0017]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22106
Collection数字工厂研究室
Corresponding AuthorFu Y(傅洋)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China;
3.University of Chinese Academy of Sciences, Beijing 100049, China;
4.Luxembourg School of Business, Luxembourg L-2453, Luxembourg;
5.Faculty of Information Studies, Novo Mesto, EU SI-8000, Slovenia;
6.Faculty of Civil Engineering, University of Rijeka, Rijeka, EU 51000, Croatia;
7.Zagreb School of Economics and Management, Zagreb, EU 10000, Croatia;
8.Center for Polymer Studies, Boston University, Boston, MA 02215, United States
Recommended Citation
GB/T 7714
Zheng ZY,Yang HC,Fu Y,et al. Factors influencing message dissemination through social media[J]. Physical Review E,2018,97(6):1-6.
APA Zheng ZY,Yang HC,Fu Y,Fu DZ,Podobnik, Boris,&Stanley, H. Eugene.(2018).Factors influencing message dissemination through social media.Physical Review E,97(6),1-6.
MLA Zheng ZY,et al."Factors influencing message dissemination through social media".Physical Review E 97.6(2018):1-6.
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