Maximum entropy principle for Kaniadakis statistics and networks

DOI10.1016/J.PHYSLETA.2013.01.032zbMath1298.94039OpenAlexW2007452691MaRDI QIDQ469709

J. Herrera, Sumit K. Garg

Publication date: 11 November 2014

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2013.01.032

zbMATH Keywords

networksdegree distributiongeneralized statistics

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10)

Related Items (8)

On Tsallis and Kaniadakis divergences ⋮ Theoretical foundations and mathematical formalism of the power-law tailed statistical distributions ⋮ Universality classes for the Fisher metric derived from relative group entropy ⋮ An outlier-resistant \(\kappa\)-generalized approach for robust physical parameter estimation ⋮ A maximum (non-extensive) entropy approach to equity options bid-ask spread ⋮ Thermodynamic properties of the blackbody radiation: a Kaniadakis approach ⋮ Critical properties of the contact process on a scale-free homophilic network ⋮ Newton's cooling law in generalised statistical mechanics

Cites Work

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• A Maxwell-Chern-Simons model for a quantum system obeying an exclusion-inclusion principle
• A family of nonextensive entropies

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