Literature DB >> 21702616

Explosive percolation is continuous, but with unusual finite size behavior.

Peter Grassberger1, Claire Christensen, Golnoosh Bizhani, Seung-Woo Son, Maya Paczuski.   

Abstract

We study four Achlioptas-type processes with "explosive" percolation transitions. All transitions are clearly continuous, but their finite size scaling functions are not entirely holomorphic. The distributions of the order parameter, i.e., the relative size s(max)/N of the largest cluster, are double humped. But-in contrast to first-order phase transitions-the distance between the two peaks decreases with system size N as N(-η) with η>0. We find different positive values of β (defined via (s(max)/N)∼(p-p(c))β for infinite systems) for each model, showing that they are all in different universality classes. In contrast, the exponent Θ (defined such that observables are homogeneous functions of (p-p(c))N(Θ)) is close to-or even equal to-1/2 for all models.

Entities:  

Year:  2011        PMID: 21702616     DOI: 10.1103/PhysRevLett.106.225701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  9 in total

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2.  Antagonistic Phenomena in Network Dynamics.

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4.  Dense percolation in large-scale mean-field random networks is provably "explosive".

Authors:  Alexander Veremyev; Vladimir Boginski; Pavlo A Krokhmal; David E Jeffcoat
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5.  Explosive transitions to synchronization in networks of phase oscillators.

Authors:  I Leyva; A Navas; I Sendiña-Nadal; J A Almendral; J M Buldú; M Zanin; D Papo; S Boccaletti
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

6.  Explosive synchronization as a process of explosive percolation in dynamical phase space.

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Journal:  Sci Rep       Date:  2014-06-06       Impact factor: 4.379

7.  Explosive Contagion in Networks.

Authors:  J Gómez-Gardeñes; L Lotero; S N Taraskin; F J Pérez-Reche
Journal:  Sci Rep       Date:  2016-01-28       Impact factor: 4.379

8.  Articulation points in complex networks.

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Journal:  Nat Commun       Date:  2017-01-31       Impact factor: 14.919

9.  Indirect influence in social networks as an induced percolation phenomenon.

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-01       Impact factor: 12.779

  9 in total

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