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Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ signifi...
Enregistré dans:
| Publié dans: | Sci Rep |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5080555/ https://ncbi.nlm.nih.gov/pubmed/27782207 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep36043 |
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