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...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080224/ |