The Stochastic Networked Governance model uses agent-based simulations on real 1970-2017 trade and crisis data to show how network shocks and capital flight produce phase transitions and explain events such as the Soviet collapse.
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Stochastic Networked Governance: Bridging Econophysics and Institutional Dynamics in a Positive-Sum Agent-Based Model
The Stochastic Networked Governance model uses agent-based simulations on real 1970-2017 trade and crisis data to show how network shocks and capital flight produce phase transitions and explain events such as the Soviet collapse.