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Searching for superspreaders of information in real-world social media

A number of predictors have been suggested to detect the most influential spreaders of information in online social media across various domains such as Twitter or Facebook. In particular, degree, PageRank, k-core and other centralities have been adopted to rank the spreading capability of users in...

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Bibliografische gegevens
Hoofdauteurs: Pei, Sen, Muchnik, Lev, Andrade, Jr., José S., Zheng, Zhiming, Makse, Hernán A.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group 2014
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4080224/
https://ncbi.nlm.nih.gov/pubmed/24989148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep05547
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