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Phase transitions for rock-scissors-paper game on different networks
- Publication Year :
- 2004
-
Abstract
- Monte Carlo simulations and dynamical mean-field approximations are performed to study the phase transitions in rock-scissors-paper game on different host networks. These graphs are originated from lattices by introducing quenched and annealed randomness simultaneously. In the resulting phase diagrams three different stationary states are identified for all structures. The comparison of results on different networks suggests that the value of clustering coefficient plays an irrelevant role in the emergence of a global oscillating phase. The critical behavior of phase transitions seems to be universal and can be described by the same exponents.<br />4 pages, 4 figures, to be published in PRE
- Subjects :
- Quantum phase transition
Phase transition
Statistical Mechanics (cond-mat.stat-mech)
Quantum Monte Carlo
Monte Carlo method
FOS: Physical sciences
Statistical physics
Critical exponent
Randomness
Condensed Matter - Statistical Mechanics
Mathematics
Monte Carlo molecular modeling
Clustering coefficient
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ef4402d829ffea28500dffc38de0657b