Quantum statistics in complex networks
arXiv:cond-mat/0206433 · doi:10.1103/PhysRevE.66.056123
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 inhomogemeous system formed by two class of nodes. In fact there is a threshold energy such that nodes with lower energy increase their connectivity while nodes with higher energy decrease their connectivity in time.
5 pages, 2 figures
References in corpus (5)
Cited by in corpus (23)
- Network geometry with flavor: from complexity to quantum geometry
- Generalized Bose-Fermi statistics and structural correlations in weighted networks
- The Shannon and the Von Neumann entropy of random networks with heterogeneous expected degree
- Interdisciplinary and physics challenges of Network Theory
- Complex Quantum Network Geometries: Evolution and Phase Transitions
- Complex Quantum Networks: a Topical Review
- Thermodynamic characterization of networks using graph polynomials
- Fermi-Bose mixtures and BCS-BEC crossover in high-Tc superconductors
- Complex Quantum Network Manifolds in Dimension are Scale-Free
- Supersymmetric multiplex networks described by coupled Bose and Fermi statistics
- Quantum-Classical Transitions in Complex Networks
- Non-neutral theory of biodiversity
- Shape resonance at a Lifshitz transition for high temperature superconductivity in multiband superconductors
- The Evolution of Hyperedge Cardinalities and Bose-Einstein Condensation in Hypernetworks
- Direct Visualization of Spatial inhomogeneity of Spin Stripes Order in La1.72Sr0.28NiO4
- Condensation and topological phase transitions in a dynamical network model with rewiring of the links
- Size of quantum networks
- Quantum statistics in Network Geometry with Fractional Flavor
- A unified framework for quasi-species evolution and stochastic quantization
- Quantum entropy couples matter with geometry
- Fermionic Networks: Modeling Adaptive Complex Networks with Fermionic Gases
- Gaussian Networks Generated by Random Walks
- Condensation and evolution of space-time network