Literature DB >> 32168556

Adaptive voter model on simplicial complexes.

Leonhard Horstmeyer1,2, Christian Kuehn1,3.   

Abstract

Collective decision making processes lie at the heart of many social, political, and economic challenges. The classical voter model is a well-established conceptual model to study such processes. In this work, we define a form of adaptive (or coevolutionary) voter model posed on a simplicial complex, i.e., on a certain class of hypernetworks or hypergraphs. We use the persuasion rule along edges of the classical voter model and the recently studied rewiring rule of edges towards like-minded nodes, and introduce a peer-pressure rule applied to three nodes connected via a 2-simplex. This simplicial adaptive voter model is studied via numerical simulation. We show that adding the effect of peer pressure to an adaptive voter model leaves its fragmentation transition, i.e., the transition upon varying the rewiring rate from a single majority state into a fragmented state of two different opinion subgraphs, intact. Yet, above and below the fragmentation transition, we observe that the peer pressure has substantial quantitative effects. It accelerates the transition to a single-opinion state below the transition and also speeds up the system dynamics towards fragmentation above the transition. Furthermore, we quantify that there is a multiscale hierarchy in the model leading to the depletion of 2-simplices, before the depletion of active edges. This leads to the conjecture that many other dynamic network models on simplicial complexes may show a similar behavior with respect to the sequential evolution of simplices of different dimensions.

Year:  2020        PMID: 32168556     DOI: 10.1103/PhysRevE.101.022305

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


  4 in total

1.  Magnetisation Processes in Geometrically Frustrated Spin Networks with Self-Assembled Cliques.

Authors:  Bosiljka Tadić; Miroslav Andjelković; Milovan Šuvakov; Geoff J Rodgers
Journal:  Entropy (Basel)       Date:  2020-03-14       Impact factor: 2.524

2.  The effect of heterogeneity on hypergraph contagion models.

Authors:  Nicholas W Landry; Juan G Restrepo
Journal:  Chaos       Date:  2020-10       Impact factor: 3.642

Review 3.  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

4.  The topology of higher-order complexes associated with brain hubs in human connectomes.

Authors:  Miroslav Andjelković; Bosiljka Tadić; Roderick Melnik
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  4 in total

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