Searching for superspreaders of information in real-world social media
Searching for superspreaders of information in real-world social media
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
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 information dissemination media. So far, validatio...
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Full title
Searching for superspreaders of information in real-world social media
Authors, Artists and Contributors
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4080224
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4080224
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/srep05547
