Long-range connections and mixed diffusion in fractional networks

R. Vilela Mendes and Tanya Araújo

Physica A: Statistical Mechanics and its Applications, 2022, vol. 608, issue P1

Abstract: Networks with long-range connections, obeying a distance-dependent power law of sufficiently small exponent, display superdiffusion, Lévy flights and robustness properties very different from the scale-free networks. It has been proposed that these networks, found both in society and in biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections.

Keywords: Fractional networks; Long-range connections; Diffusion (search for similar items in EconPapers)
Date: 2022
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Related works:
Working Paper: Long-range connections and mixed diffusion in fractional networks (2023)
Working Paper: Long-range connections and mixed diffusion in fractional networks (2022)
Working Paper: Long-range connections and mixed diffusion in fractional networks (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:608:y:2022:i:p1:s0378437122008275

DOI: 10.1016/j.physa.2022.128269

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