Stratified economic exchange on networks

Stratified economic exchange on networks
Notice: This research summary and analysis were automatically generated using AI technology. For absolute accuracy, please refer to the [Original Paper Viewer] below or the Original ArXiv Source.

We investigate a model of stratified economic interactions between agents when the notion of spatial location is introduced. The agents are placed on a network with near-neighbor connections. Interactions between neighbors can occur only if the difference in their wealth is less than a threshold value that defines the width of the economic classes. By employing concepts from spatiotemporal dynamical systems, three types of patterns can be identified in the system as parameters are varied: laminar, intermittent and turbulent states. The transition from the laminar state to the turbulent state is characterized by the activity of the system, a quantity that measures the average exchange of wealth over long times. The degree of inequality in the wealth distribution for different parameter values is characterized by the Gini Coefficient. High levels of activity are associated to low values of the Gini coefficient. It is found that the topological properties of the network have little effect on the activity of the system, but the Gini coefficient increases when the clustering coefficient of the network is increased.


💡 Research Summary

The paper introduces a novel “stratified economic exchange” model in which agents are embedded on a network and can trade wealth only with immediate neighbors whose wealth difference lies below a prescribed threshold Δw, representing the width of economic classes. Each agent i holds a wealth wi(t) that evolves through pairwise exchanges: if agents i and j are connected and |wi − wj| < Δw, a random fraction ε∈


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