Composite centrality: A natural scale for complex evolving networks

作者: A.C. Joseph , G. Chen

DOI: 10.1016/J.PHYSD.2013.08.005

关键词:

摘要: Abstract We derive a composite centrality measure for general weighted and directed complex networks, based on standardisation invariant statistical inheritance schemes. Different schemes generate different intermediate abstract measures providing additional information, while the tends to standard normal distribution. This offers unified scale node edge centralities evolving networks under uniform framework. Considering two real-world cases of world trade web migration web, both during time span 40 years, we propose set-up demonstrate its remarkable normative power accuracy. illustrate applicability proposed framework large arbitrary systems, as well limitations, through extensive numerical simulations.

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