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Top influencers can be identified universally by combining classical centralities
Information flow, opinion, and epidemics spread over structured networks. When using node centrality indicators to predict which nodes will be among the top influencers or superspreaders, no single centrality is a consistently good ranker across networks. We show that statistical classifiers using t...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688979/ https://www.ncbi.nlm.nih.gov/pubmed/33239723 http://dx.doi.org/10.1038/s41598-020-77536-7 |