Explosive percolation: a numerical analysis

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 pages, 13 figures, 1 table

Scientific paper

10.1103/PhysRevE.81.036110

Percolation is one of the most studied processes in statistical physics. A recent paper by Achlioptas et al. [Science 323, 1453 (2009)] has shown that the percolation transition, which is usually continuous, becomes discontinuous ("explosive") if links are added to the system according to special cooperative rules (Achlioptas processes). In this paper we present a detailed numerical analysis of Achlioptas processes with product rule on various systems, including lattices, random networks a' la Erdoes-Renyi and scale-free networks. In all cases we recover the explosive transition by Achlioptas et al.. However, the explosive percolation transition is kind of hybrid as, despite the discontinuity of the order parameter at the threshold, one observes traces of analytical behavior, like power law distributions of cluster sizes. In particular, for scale-free networks with degree exponent lambda<3, all relevant percolation variables display power law scaling, just as in continuous second-order phase transitions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Explosive percolation: a numerical analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Explosive percolation: a numerical analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Explosive percolation: a numerical analysis will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-241282

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.