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 node...

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Bibliographic Details
Published inarXiv.org
Main Authors Teng, Xian, Sen, Pei, Morone, Flaviano, Makse, Hernán A
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.11.2016
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