Literature DB >> 30999479

Grand canonical ensemble of weighted networks.

Andrea Gabrielli1,2, Rossana Mastrandrea2, Guido Caldarelli1,2, Giulio Cimini1,2.   

Abstract

The cornerstone of statistical mechanics of complex networks is the idea that the links, and not the nodes, are the effective particles of the system. Here, we formulate a mapping between weighted networks and lattice gases, making the conceptual step forward of interpreting weighted links as particles with a generalized coordinate. This leads to the definition of the grand canonical ensemble of weighted complex networks. We derive exact expressions for the partition function and thermodynamic quantities, both in the cases of global and local (i.e., node-specific) constraints on the density and mean energy of particles. We further show that, when modeling real cases of networks, the binary and weighted statistics of the ensemble can be disentangled, leading to a simplified framework for a range of practical applications.

Year:  2019        PMID: 30999479     DOI: 10.1103/PhysRevE.99.030301

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  4 in total

1.  Grand Canonical Ensembles of Sparse Networks and Bayesian Inference.

Authors:  Ginestra Bianconi
Journal:  Entropy (Basel)       Date:  2022-04-30       Impact factor: 2.738

Review 2.  Principles and open questions in functional brain network reconstruction.

Authors:  Onerva Korhonen; Massimiliano Zanin; David Papo
Journal:  Hum Brain Mapp       Date:  2021-05-20       Impact factor: 5.038

3.  Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease.

Authors:  Jianjia Wang; Xichen Wu; Mingrui Li
Journal:  Entropy (Basel)       Date:  2021-02-10       Impact factor: 2.524

4.  Bow-tie structures of twitter discursive communities.

Authors:  Mattia Mattei; Manuel Pratelli; Guido Caldarelli; Marinella Petrocchi; Fabio Saracco
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.