摘要翻译：
我们研究了有界置信阈值、相互作用和外部噪声对阿克塞尔罗德社会影响模型的影响。我们的研究是基于数值模拟和描述热力学极限下系统的平均场主方程的结合。我们发现相互作用阈值只在定量上影响系统，但它们并不改变系统的基本相结构。在受外部噪声影响的有限系统中，有序状态和无序状态之间的已知交叉在具有一般置信度阈值的模型中仍然存在。这里的相互作用噪声促进了动力学，减少了弛豫时间。我们还研究了具有度量特征的Axelrod系统，并指出了与具有标称特征的模型相比的相似性和不同点。度量特征被用来证明一小群极端分子可以对Axelrod代理人群体的意见动态产生重大影响。
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英文标题：
《Effects of noise and confidence thresholds in nominal and metric Axelrod
  dynamics of social influence》
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作者：
Luca De Sanctis, Tobias Galla
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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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.
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PDF链接：
https://arxiv.org/pdf/707.3428