A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks

DOI10.1016/J.CHAOS.2018.03.014zbMath1391.90107OpenAlexW2789376897MaRDI QIDQ721731

Asgarali Bouyer, Negin Samadi, Kamal Berahmand

Publication date: 20 July 2018

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2018.03.014

zbMATH Keywords

complex networkclustering coefficientnode spreadingsemilocal centrality

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10)

Related Items (7)

Identifying influential nodes in complex networks from global perspective ⋮ A generalized gravity model for influential spreaders identification in complex networks ⋮ Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value ⋮ Bipolar-valued fuzzy social network and centrality measures ⋮ Identifying influential spreaders based on edge ratio and neighborhood diversity measures in complex networks ⋮ A new local and multidimensional ranking measure to detect spreaders in social networks ⋮ Rumor propagation controlling based on finding important nodes in complex network

Cites Work

• Ranking the spreading ability of nodes in complex networks based on local structure
• Complex networks: structure and dynamics
• From the Cover: The structure of scientific collaboration networks
• Statistical mechanics of complex networks
• Scale-Free Networks: A Decade and Beyond
• Spreading dynamics in complex networks
• The Structure and Function of Complex Networks
• Collective dynamics of ‘small-world’ networks
• Exploring complex networks
• A NEW MEASURE OF RANK CORRELATION
• Networks

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