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- W1965362147 abstract "Identifying the nodes with largest spreading influence of complex networks is one of the most promising domains. By taking into account the neighbors' k-core values, we present an improved neighbors' k-core (INK) method which is the sum of the neighbors' k-core values with a tunable parameter α to evaluate the node spreading influence with largest k-core values. Comparing with the Susceptible–Infected–Recovered (SIR) results for four real networks, the INK method could identify the node spreading influence with largest k-core values more accurately than the ones generated by the degree k, closeness C, betweenness B and coreness centrality method." @default.
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- W1965362147 date "2014-10-01" @default.
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- W1965362147 title "Identifying the node spreading influence with largest k -core values" @default.
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- W1965362147 doi "https://doi.org/10.1016/j.physleta.2014.09.054" @default.
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