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Users’ participation and social influence during information spreading on Twitter
- Source :
- PLoS ONE, PLoS ONE, Vol 12, Iss 9, p e0183290 (2017)
- Publication Year :
- 2017
- Publisher :
- Public Library of Science, 2017.
-
Abstract
- Online Social Networks generate a prodigious wealth of real-time information at an incessant rate. In this paper we study the empirical data that crawled from Twitter to describe the topology and information spreading dynamics of Online Social Networks. We propose a measurement with three measures to state the efforts of users on Twitter to get their information spreading, based on the unique mechanisms for information retransmission on Twitter. It is noticed that small fraction of users with special performance on participation can gain great influence, while most other users play a role as middleware during the information propagation. Thus a community analysis is performed and four categories of users are found with different kinds of participation that cause the information dissemination dynamics. These suggest that exiting topological measures alone may reflect little about the influence of individuals and provide new insights for information spreading.
- Subjects :
- Empirical data
Computer science
lcsh:Medicine
Social Sciences
computer.software_genre
01 natural sciences
010305 fluids & plasmas
Social Networking
Sociology
Social Desirability
Psychology
Social Change
lcsh:Science
Social influence
Mass media
Multidisciplinary
Social Communication
Software Engineering
Sports Science
Social Networks
Dynamics (music)
Middleware (distributed applications)
Engineering and Technology
Network Analysis
Research Article
Sports
Computer and Information Sciences
Internet privacy
Twitter
Information Dissemination
0103 physical sciences
Humans
Engines
Mass Media
010306 general physics
Preprocessing
Behavior
Internet
Models, Statistical
Social network
business.industry
Mechanical Engineering
lcsh:R
Community Participation
Biology and Life Sciences
Communications
Collective Human Behavior
Recreation
lcsh:Q
business
computer
Social Media
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....7512ab0c8583e863de4dfd066172679b