具有时变翻转率的选民模型
Voter Model with Time dependent Flip-rates
摘要:
我们在选民模型的翻转率中引入时间变化。这种类型的概括与语言变化中的年龄模型有关,允许代表说话者一生中学习率的变化,并且可以应用于任何其他类似的模型,其中微观水平的交互率随时间变化。达到共识所需的平均时间随着翻转率的变化率以非平凡的方式变化,在静态均匀(原始选民模型)和静态非均匀翻转率的平均共识时间给出的界限之间变化。通过考虑每个代理之间的交互的平均时间,我们得到了很好的估计的平均共识时间和退出概率的任何时间尺度的翻转率变化。在复杂网络上,共识时间随人口规模的缩放被正确预测,并且与普通选民模型的预期一致。意见初始分布的异质性有很强的影响,大大减少了达成共识的平均时间,同时增加了最初占据最缓慢变化的代理人的意见的生存概率。不同国家达成共识的平均时间是非常不同的。最初由变化最快的代理人持有的意见成功的机会较小,并且比均匀分布的意见需要更长的时间。
英文摘要:
We introduce time variation in the flip-rates of the Voter Model. This type of generalisation is relevant to models of ageing in language change, allowing the representation of changes in speakers' learning rates over their lifetime and may be applied to any other similar model in which interaction rates at the microscopic level change with time. The mean time taken to reach consensus varies in a nontrivial way with the rate of change of the flip-rates, varying between bounds given by the mean consensus times for static homogeneous (the original Voter Model) and static heterogeneous flip-rates. By considering the mean time between interactions for each agent, we derive excellent estimates of the mean consensus times and exit probabilities for any time scale of flip-rate variation. The scaling of consensus times with population size on complex networks is correctly predicted, and is as would be expected for the ordinary voter model. Heterogeneity in the initial distribution of opinions has a strong effect, considerably reducing the mean time to consensus, while increasing the probability of survival of the opinion which initially occupies the most slowly changing agents. The mean times to reach consensus for different states are very different. An opinion originally held by the fastest changing agents has a smaller chance to succeed, and takes much longer to do so than an evenly distributed opinion.
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