Long-range connections and mixed diffusion in fractional networks

Tanya Araújo and Rui Mendes
Authors registered in the RePEc Author Service: Tanya Vianna de Araújo

No 2023/02, Working Papers Department of Economics from ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa

Abstract: Networks with long-range connections obeying a distance-dependent power law of su¢ ciently small exponent display superdiffusion, Levy flights and robustness properties very di§erent from the scale-free networks. It has been proposed that these networks, found both in society and 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 superdi§usive 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.

Date: 2023-02
New Economics Papers: this item is included in nep-net and nep-ure
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Related works:
Journal Article: Long-range connections and mixed diffusion in fractional networks (2022)
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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