Literature DB >> 12513572

Quantum statistics in complex networks.

Ginestra Bianconi1.   

Abstract

In this work we discuss the symmetric construction of bosonic and fermionic networks and we present a case of a network showing a mixed quantum statistics. This model takes into account the different nature of nodes, described by a random parameter that we call energy, and includes rewiring of the links. The system described by the mixed statistics is an inhomogeneous system formed by two class of nodes. In fact there is a threshold energy epsilon(s) such that nodes with lower energy (epsilon<epsilon(s)) increase their connectivity, while nodes with higher energy (epsilon>epsilon(s)) decrease their connectivity in time.

Year:  2002        PMID: 12513572     DOI: 10.1103/PhysRevE.66.056123

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

Review 1.  Far from equilibrium percolation, stochastic and shape resonances in the physics of life.

Authors:  Nicola Poccia; Alessio Ansuini; Antonio Bianconi
Journal:  Int J Mol Sci       Date:  2011-10-14       Impact factor: 5.923

Review 2.  A possible mechanism for evading temperature quantum decoherence in living matter by feshbach resonance.

Authors:  Nicola Poccia; Alessandro Ricci; Davide Innocenti; Antonio Bianconi
Journal:  Int J Mol Sci       Date:  2009-05-13       Impact factor: 5.923

3.  Complex Quantum Network Manifolds in Dimension d > 2 are Scale-Free.

Authors:  Ginestra Bianconi; Christoph Rahmede
Journal:  Sci Rep       Date:  2015-09-10       Impact factor: 4.379

4.  Ciliates learn to diagnose and correct classical error syndromes in mating strategies.

Authors:  Kevin B Clark
Journal:  Front Microbiol       Date:  2013-08-19       Impact factor: 5.640

5.  Basis for a neuronal version of Grover's quantum algorithm.

Authors:  Kevin B Clark
Journal:  Front Mol Neurosci       Date:  2014-04-17       Impact factor: 5.639

6.  The Evolution of Hyperedge Cardinalities and Bose-Einstein Condensation in Hypernetworks.

Authors:  Jin-Li Guo; Qi Suo; Ai-Zhong Shen; Jeffrey Forrest
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

  6 in total

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