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Network structure and the diffusion of knowledge

机译：网络结构与知识传播

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This paper models knowledge diffusion as a barter process in which agents exchange different types of knowledge. This is intended to capture the observed practice of informal knowledge trading. Agents are located on a network and are directly connected with a small number of other agents. Agents repeatedly meet those with whom direct connections exist and trade if mutually profitable trades exist. In this way knowledge diffuses throughout the economy. We examine the relationship between network architecture and diffusion performance. We consider the space of structures that fall between, at one extreme, a network in which every agent is connected to n nearest neighbours, and at the other extreme a network with each agent being connected to, on average, n randomly chosen agents. We find that the performance of the system exhibits clear 'small world' properties, in that the steady-state level of average knowledge is maximal when the structure is a small world (that is, when most connections are local, but roughly 10 percent of them are long distance). The variance of knowledge levels among agents is maximal in the small world region, whereas the coefficient of variation is minimal. We explain these results as reflecting the dynamics of knowledge transmission as affected by the architecture of connections among agents.
机译：本文将知识扩散建模为一种物物交换过程，在此过程中，代理人交换不同类型的知识。这旨在捕获所观察到的非正式知识交易的实践。代理位于网络上，并与少量其他代理直接连接。代理商反复会见那些与他们有直接联系的人，如果存在互利的交易，则进行交易。这样，知识在整个经济中扩散。我们研究了网络体系结构和扩散性能之间的关系。我们考虑的结构空间介于一个极端之间，在该极端中，每个代理均连接到n个最近的邻居；在另一个极端中，每个代理平均与n个随机选择的代理相连。我们发现系统的性能表现出明显的“小世界”属性，因为当结构是小世界时（即，当大多数连接是本地的，但约占总数的10％时），平均知识的稳态水平最大。他们很远）。在小世界范围内，主体之间知识水平的方差最大，而变异系数最小。我们将这些结果解释为反映了受代理之间的连接架构影响的知识传播的动态。

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