Analyzing the structure of a complex network on the basis of its macroscopic characteristics View Full Text


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Article Info

DATE

2014-12-23

AUTHORS

V. A. Maksimenko, V. V. Makarov, A. A. Koronovskii, A. E. Hramov, O. I. Moskalenko

ABSTRACT

A method for analyzing structural changes and clusterization processes in complex networks by examining their macroscopic characteristics (a system’s overall vector of state) using the continuous wavelet transform is proposed. It is demonstrated that the proposed method allows effective diagnostics of changes in network topology and the detection of structural clusters. More... »

PAGES

1281-1284

References to SciGraph publications

  • 1975. Self-entrainment of a population of coupled non-linear oscillators in INTERNATIONAL SYMPOSIUM ON MATHEMATICAL PROBLEMS IN THEORETICAL PHYSICS
  • 2009-02-04. Complex brain networks: graph theoretical analysis of structural and functional systems in NATURE REVIEWS NEUROSCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.3103/s1062873814120211

    DOI

    http://dx.doi.org/10.3103/s1062873814120211

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011779862


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