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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...
Autores principales: | Zhang, Xin, Han, Ding-Ding, Yang, Ruiqi, Zhang, Ziqiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5597198/ https://www.ncbi.nlm.nih.gov/pubmed/28902906 http://dx.doi.org/10.1371/journal.pone.0183290 |
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