Opinion Spreading with Mobility on Scale-Free Networks  被引量:6

Opinion Spreading with Mobility on Scale-Free Networks

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作  者:郭强 刘建国 汪秉宏 周涛 陈兴文 姚玉华 

机构地区:[1]School of Science, Dalian Nationalities University, Dalian 116600 [2]Department of Modern Physics, University of Science and Technology of China, Hefei 230026 [3]Department of Physics, University of Pribourg, CH-1700 Fribourg, Switzerland [4]School of Life Science, Zhejiang Sci-Tech University, Hangzhou 310018

出  处:《Chinese Physics Letters》2008年第2期773-775,共3页中国物理快报(英文版)

基  金:Supported by the National Basic Research Programme of China under Grant No 2006CB705500, the National Natural Science Foundation of China under Grant Nos 10635040, 10532060, 70571074 and 10472116, the Special Research Funds for Theoretical Physics Frontier Problems (A0524701), the President Fund of Chinese Academy of Sciences, the Specialized Research Fund for the Doctoral Programme of Higher Education of China, and the Research Fund of the Education Department of Liaoning Province (20060140). The authors thank Dr Ming Zhao for her comments and suggestions.

摘  要:A continuum opinion dynamic model is presented based on two rules. The first one considers the mobilities of the individuals, the second one supposes that the individuals update their opinions independently. The results of the model indicate that the bounded confidence εc, separating consensus and incoherent states, of a scale-free network is much smaller than the one of a lattice. If the system can reach the consensus state, the sum of all individuals' opinion change Oc(t) quickly decreases in an exponential form, while if it reaches the incoherent state finally, Oc(t) decreases slowly and has the punctuated equilibrium characteristic.A continuum opinion dynamic model is presented based on two rules. The first one considers the mobilities of the individuals, the second one supposes that the individuals update their opinions independently. The results of the model indicate that the bounded confidence εc, separating consensus and incoherent states, of a scale-free network is much smaller than the one of a lattice. If the system can reach the consensus state, the sum of all individuals' opinion change Oc(t) quickly decreases in an exponential form, while if it reaches the incoherent state finally, Oc(t) decreases slowly and has the punctuated equilibrium characteristic.

关 键 词:SCIENCE BASIC RESEARCH SMALL-WORLD NETWORKS COMPLEX NETWORKS PHASE-TRANSITION SZNAJD MODEL DYNAMICS OPTIMIZATION ROBUSTNESS EVOLUTION 

分 类 号:N941[自然科学总论—系统科学]

 

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