Identifying influential spreaders in complex networks based on density entropy and community structure
Zhan 湛 Su 苏,
Lei 磊 Chen 陈,
Jun 均 Ai 艾
et al.
Abstract:In recent years, exploring the relationship between community structure and node centrality in complex networks has gained significant attention from researchers, given its fundamental theoretical significance and practical implications. To address the impact of network communities on target nodes and effectively identify highly influential nodes with strong propagation capabilities, this paper therefore proposes a novel influential spreaders identification algorithm based on density entropy and community stru… Show more
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