Users' participation and social influence during information spreading on Twitter.
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 t...
Main Authors: | Xin Zhang, Ding-Ding Han, Ruiqi Yang, Ziqiao Zhang |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5597198?pdf=render |
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