AAPPS Association of Asia Pacific Physical Societies
AAPPS Bulletin Vol. 16 No. 3, June 2006
Highlight of the Issue

Efficiency of Local Majority-Rule Dynamics on Scale-Free Networks  (PDF, 1091KB)
Haijun Zhou
Institute of Theoretical Physics, The Chinese Academy of Sciences, Beijing, China

 

Abstract
Dynamic processes occurring on a network may be greatly influenced by the particular structure and topology of the network. In this paper, local majority-rule dynamics is studied on random scale-free networks. Our mean-field analytical calculations predict that, when the network's power-law scaling exponent r changes from r > 5/2 to r < 5/2, a qualitative improvement in the efficiency of the dynamic process can be achieved, namely the typical relaxation time changes from being proportional to ln(N) to being independent of N, where N is the network size. This mean-field prediction is confirmed by extensive numerical simulations.
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