社会影响的名义和度量阿克塞尔罗德动力学中噪声和置信阈值的影响
Effects of noise and confidence thresholds in nominal and metric Axelrod dynamics of social influence
摘要：
我们研究了有界置信阈值和相互作用和外部噪声对阿克塞尔罗德的社会影响模型的影响。我们的研究是基于结合数值模拟和积分的平均场主方程描述系统的热力学极限。我们发现，相互作用的阈值影响系统的数量，但它们不改变基本的相结构。已知的交叉之间的有序和无序状态的有限系统受到外部噪声持续在一般置信阈值的模型。这里的相互作用噪声促进了动力学并减少了弛豫时间。我们还研究了Axelrod系统的度量功能，并指出与标称功能的模型相比的相似性和差异。度量特征被用来证明，一小群极端分子可以有一个显着的影响人口的阿克塞尔罗德代理人的观点动力学。
英文摘要：
We study the effects of bounded confidence thresholds and of interaction and external noise on Axelrod's model of social influence. Our study is based on a combination of numerical simulations and an integration of the mean-field Master equation describing the system in the thermodynamic limit. We find that interaction thresholds affect the system only quantitatively, but that they do not alter the basic phase structure. The known crossover between an ordered and a disordered state in finite systems subject to external noise persists in models with general confidence threshold. Interaction noise here facilitates the dynamics and reduces relaxation times. We also study Axelrod systems with metric features, and point out similarities and differences compared to models with nominal features. Metric features are used to demonstrate that a small group of extremists can have a significant impact on the opinion dynamics of a population of Axelrod agents.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
