Literature DB >> 27078374

Network geometry with flavor: From complexity to quantum geometry.

Ginestra Bianconi1, Christoph Rahmede2.   

Abstract

Network geometry is attracting increasing attention because it has a wide range of applications, ranging from data mining to routing protocols in the Internet. At the same time advances in the understanding of the geometrical properties of networks are essential for further progress in quantum gravity. In network geometry, simplicial complexes describing the interaction between two or more nodes play a special role. In fact these structures can be used to discretize a geometrical d-dimensional space, and for this reason they have already been widely used in quantum gravity. Here we introduce the network geometry with flavor s=-1,0,1 (NGF) describing simplicial complexes defined in arbitrary dimension d and evolving by a nonequilibrium dynamics. The NGF can generate discrete geometries of different natures, ranging from chains and higher-dimensional manifolds to scale-free networks with small-world properties, scale-free degree distribution, and nontrivial community structure. The NGF admits as limiting cases both the Bianconi-Barabási models for complex networks, the stochastic Apollonian network, and the recently introduced model for complex quantum network manifolds. The thermodynamic properties of NGF reveal that NGF obeys a generalized area law opening a new scenario for formulating its coarse-grained limit. The structure of NGF is strongly dependent on the dimensionality d. In d=1 NGFs grow complex networks for which the preferential attachment mechanism is necessary in order to obtain a scale-free degree distribution. Instead, for NGF with dimension d>1 it is not necessary to have an explicit preferential attachment rule to generate scale-free topologies. We also show that NGF admits a quantum mechanical description in terms of associated quantum network states. Quantum network states evolve by a Markovian dynamics and a quantum network state at time t encodes all possible NGF evolutions up to time t. Interestingly the NGF remains fully classical but its statistical properties reveal the relation to its quantum mechanical description. In fact the δ-dimensional faces of the NGF have generalized degrees that follow either the Fermi-Dirac, Boltzmann, or Bose-Einstein statistics depending on the flavor s and the dimensions d and δ.

Year:  2016        PMID: 27078374     DOI: 10.1103/PhysRevE.93.032315

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


  7 in total

1.  Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data.

Authors:  Alexander P Kartun-Giles; Dmitri Krioukov; James P Gleeson; Yamir Moreno; Ginestra Bianconi
Journal:  Entropy (Basel)       Date:  2018-04-07       Impact factor: 2.524

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.  Navigability of Random Geometric Graphs in the Universe and Other Spacetimes.

Authors:  William Cunningham; Konstantin Zuev; Dmitri Krioukov
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

4.  Generative Models for Global Collaboration Relationships.

Authors:  Ertugrul Necdet Ciftcioglu; Ram Ramanathan; Prithwish Basu
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

5.  Emergent Hyperbolic Network Geometry.

Authors:  Ginestra Bianconi; Christoph Rahmede
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

6.  Complex Network Geometry and Frustrated Synchronization.

Authors:  Ana P Millán; Joaquín J Torres; Ginestra Bianconi
Journal:  Sci Rep       Date:  2018-07-02       Impact factor: 4.379

Review 7.  Dynamics on higher-order networks: a review.

Authors:  Soumen Majhi; Matjaž Perc; Dibakar Ghosh
Journal:  J R Soc Interface       Date:  2022-03-23       Impact factor: 4.118

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.