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Entropy, Vol. 17, Pages 2228-2252: A Community-Based Approach to Identifying Influential Spreaders (2015)

Zhiying Zhao; Xiaofan Wang; Wei Zhang; Zhiliang Zhu

MDPI Publishing

In: Entropy

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Publication Date: 2015-04-15

Description: Identifying influential spreaders in complex networks has a significant impact on understanding and control of spreading process in networks. In this paper, we introduce a new centrality index to identify influential spreaders in a network based on the community structure of the network. The community-based centrality (CbC) considers both the number and sizes of communities that are directly linked by a node. We discuss correlations between CbC and other classical centrality indices. Based on simulations of the single source of infection with the Susceptible-Infected-Recovered (SIR) model, we find that CbC can help to identify some critical influential nodes that other indices cannot find. We also investigate the stability of CbC.

Electronic ISSN: 1099-4300

Topics: Chemistry and Pharmacology , Physics

Published by MDPI Publishing

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