Quantifying networks complexity from information geometry viewpoint

DOI10.1063/1.4870616zbMath1305.90093arXiv1310.7825OpenAlexW3101241090MaRDI QIDQ5171340

Stefano Mancini, Domenico Felice, Marco Pettini

Publication date: 26 July 2014

Published in: Journal of Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.7825

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Algorithmic information theory (Kolmogorov complexity, etc.) (68Q30) Measures of information, entropy (94A17)

Related Items

Geometric algebra and information geometry for quantum computational software ⋮ An information geometric perspective on the complexity of macroscopic predictions arising from incomplete information ⋮ Information geometric complexity of a trivariate Gaussian statistical model ⋮ Catching homologies by geometric entropy ⋮ Information geometric methods for complexity ⋮ The volume of Gaussian states by information geometry ⋮ Theoretical investigations of an information geometric approach to complexity

Cites Work

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• Geometry and topology in Hamiltonian dynamics and statistical mechanics
• What is complexity?
• Measures of statistical complexity: why?
• Statistical mechanics of complex networks
• A geometric approach to complexity

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