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generalized extreme value distribution. The diffusion coefficient of an opinion increases linearly with the number of opinions …
Persistent link: https://www.econbiz.de/10010882958
In this paper, we consider the following nonlinear single species diffusive system \begin{eqnarray*} \dot{x}_i(t)&=& x_i(t)\left(b_i(t)-\sum_{k=1}^{l_i}a_{ik}(t)(x_i(t))^{\beta_{ik}}\right)\\ && +\,\sum_{j=1}^{n}D_{ij}(t)(x_j(t)-x_i(t)),\quad (i,j=1,2,\ldots,n), \end{eqnarray*} where bi(t),...
Persistent link: https://www.econbiz.de/10004977708
An earlier study [24] concluded, based on computer simulations and some inferences from empirical data, that languages will change the more slowly the larger the population gets. We replicate this study using a more complete language model for simulations (the Schulze model combined with a...
Persistent link: https://www.econbiz.de/10005047488
Monte Carlo simulations of a Sznajd model show that if a near-consensus is formed out of four initially equally widespread opinions, the one which at intermediate times is second in the number of adherents usually loses out against the third-placed opinion.
Persistent link: https://www.econbiz.de/10005047499