Topological transition in dynamic complex networks.
Using a network model involving statistical mechanics we study the topological transition of complex networks with evolving wiring structure. The evolution rule of our network model contains both a structuring effect originated in a wiring decision metric (local clustering coefficient) and a randomizing effect due to thermal fluctuation. Monte Carlo simulation results show a dramatic topological transition between nonclustered networks and clustered networks in response to changes in the degree of randomness.
Kami
Nobuharu
N
Department of Electrical Engineering, Stanford University, Stanford, California 94305-9510, USA. n-kami@ak.jp.nec.com
Ikeda
Hideo
H