Explosive Percolation in Random Networks
Santa Fe Institute · University of California, Santa Cruz · +3 more institutions
Abstract
Networks in which the formation of connections is governed by a random process often undergo a percolation transition, wherein around a critical point, the addition of a small number of connections causes a sizable fraction of the network to suddenly become linked together. Typically such transitions are continuous, so that the percentage of the network linked together tends to zero right above the transition point. Whether percolation transitions could be discontinuous has been an open question. Here, we show that incorporating a limited amount of choice in the classic Erdös-Rényi network formation model causes its percolation transition to become discontinuous.
Citation impact
- FWCI
- 30.02
- Percentile
- 100%
- References
- 7
Authors
3- DADimitris Achlioptas
Santa Fe Institute, University of California, Santa Cruz, Courant Institute of Mathematical Sciences, New York University, University of California, Davis
- RMRaissa M. D’SouzaCorresponding
Santa Fe Institute, University of California, Santa Cruz, Courant Institute of Mathematical Sciences, New York University, University of California, Davis
- JSJoel Spencer
Santa Fe Institute, University of California, Santa Cruz, Courant Institute of Mathematical Sciences, New York University, University of California, Davis
Topics & keywords
- Percolation (cognitive psychology)
- Explosive material
- Directed percolation
- Statistical physics
- Percolation theory
- Random graph
- Percolation threshold
- Continuum percolation theory