IdentifyingInfluential Nodes in Complex Networks Based on the Integration of Smallest-Cycle and Non-Smallest-Cycle Features. [PDF]
Entropy (Basel)Tan F, Chen X, Wang R, Huang C, Cai S.
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Behavioral Characteristics of Medical Students on Social Media Platforms: Topic Modeling and Social Network Analysis. [PDF]
JMIR Form ResLi Y, Fu Y, Zheng F, Yan X.
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Unified influence estimation through multi-hop reinforcement and diversity-weighted fusion in weighted complex networks. [PDF]
Sci RepShetty RD +6 more
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Bilingual effects on cognitive control: a comprehensive bibliometric analysis of 50 years of research. [PDF]
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Identifying influential nodes in complex networks [PDF]
Physica A: Statistical Mechanics and Its Applications, 2012 Identifying influential nodes that lead to faster and wider spreading in complex networks is of theoretical and practical significance. The degree centrality method is very simple but of little relevance. Global metrics such as betweenness centrality and
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