英文标题:
《Emergence of communities on a coevolutive model of wealth interchange》
---
作者:
A. Agreda and K. Tucci
---
最新提交年份:
2014
---
英文摘要:
We present a model in which we investigate the structure and evolution of a random network that connects agents capable of exchanging wealth. Economic interactions between neighbors can occur only if the difference between their wealth is less than a threshold value that defines the width of the economic classes. If the interchange of wealth cannot be done, agents are reconnected with another randomly selected agent, allowing the network to evolve in time. On each interaction there is a probability of favoring the poorer agent, simulating the action of the government. We measure the Gini index, having real world values attached to reality. Besides the network structure showed a very close connection with the economic dynamic of the system.
---
中文摘要:
我们提出了一个模型,在该模型中,我们研究了连接能够交换财富的代理的随机网络的结构和演化。只有当邻居之间的财富差异小于定义经济阶层宽度的阈值时,才能发生经济互动。如果无法进行财富交换,代理将与另一个随机选择的代理重新连接,从而允许网络及时演化。在每一次互动中,都有可能偏向较穷的代理,模拟政府的行为。我们测量基尼指数,将现实世界的价值与现实联系起来。此外,网络结构与系统的经济动态有着非常密切的联系。
---
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。
--
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
--
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
--
---
PDF下载:
-->