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- Title
Synchronization in evolving snowdrift game model.
- Authors
Huang, Y.; Wu, L.; Zhu, S. Q.
- Abstract
The interaction between the evolution of the game and the underlying network structure with evolving snowdrift game model is investigated. The constructed network follows a power-law degree distribution typically showing scale-free feature. The topological features of average path length, clustering coefficient, degree-degree correlations and the dynamical feature of synchronizability are studied. The synchronizability of the constructed networks changes by the interaction. It will converge to a certain value when sufficient new nodes are added. It is found that initial payoffs of nodes greatly affect the synchronizability. When initial payoffs for players are equal, low common initial payoffs may lead to more heterogeneity of the network and good synchronizability. When initial payoffs follow certain distributions, better synchronizability is obtained compared to equal initial payoff. The result is also true for phase synchronization of nonidentical oscillators.
- Subjects
GAME theory; DYNAMICS; SYNCHRONIZATION; BIOLOGICAL systems; ARTIFICIAL neural networks; NOISE
- Publication
European Physical Journal B: Condensed Matter, 2009, Vol 69, Issue 3, p431
- ISSN
1434-6028
- Publication type
Article
- DOI
10.1140/epjb/e2009-00174-7