Tipping Points of Diehards in Social Consensus on Large Random Networks
We introduce the homogeneous pair approximation to the Naming Game (NG) model, establish a six dimensional ODE for the two-word NG. Our ODE reveals how the dynamical behavior of the NG changes with respect to the average degree < k > of an uncorrelated network and shows a good agreement with the numerical results.We also extend the model to the committed agent case and show the shift of the tipping point on sparse networks.
KeywordsDegree Distribution Average Degree Voter Model Social Consensus Naming Game
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