Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-01-27
Physics
Condensed Matter
Disordered Systems and Neural Networks
Submitted to Phys. Rev. E
Scientific paper
10.1103/PhysRevE.72.015101
Using a recently described technique for manipulating the clustering coefficient of a network without changing its degree distribution, we examine the effect of clustering on the synchronization of phase oscillators on networks with Poisson and scale-free degree distributions. For both types of network, increased clustering hinders global synchronization as the network splits into dynamical clusters that oscillate at different frequencies. Surprisingly, in scale-free networks, clustering promotes the synchronization of the most connected nodes (hubs) even though it inhibits global synchronization. As a result, scale-free networks show an additional, advanced transition instead of a single synchronization threshold. This cluster-enhanced synchronization of hubs may be relevant to the brain with its scale-free and highly clustered structure.
McGraw Patrick N.
Menzinger Michael
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