摘要翻译:
人类社会的复杂组织产生了间接竞争,对现有网络拓扑结构的了解可能有助于制定成功的有效策略。在这里,我们提出了一个基于Agent的竞争模型,系统共存于一个“小世界”社会网络中。我们发现,在模型和经验数据得到的参数值范围内,网络演化高度依赖于描述网络邻居密度的局部参数$k$。应用于语言死亡和电信企业竞争的模型与实证数据显示出较强的对应性。
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英文标题:
《Agent-based model of competition in a social structure》
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作者:
Erika Fille Legara, Anthony Longjas, and Rene Batac
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最新提交年份:
2011
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类:Physics 物理学
二级分类:Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述:Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应,自组织系统,统计物理,波动系统,随机过程,相互作用粒子系统,机器学习
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英文摘要:
Indirect competition emerged from the complex organization of human societies, and knowledge of the existing network topology may aid in developing effective strategies for success. Here, we propose an agent-based model of competition with systems co-existing in a `small-world' social network. We show that within the range of parameter values obtained from the model and empirical data, the network evolution is highly dependent on $k$, the local parameter describing the density of neighbors in the network. The model applied to language death and competition of telecommunication companies show strong correspondence with empirical data.
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PDF链接:
https://arxiv.org/pdf/0807.3059