Abstract

How social networks and financial transaction networks interact on each other has drawn more and more interests for supervision agencies and financial institutions in their efforts to combat money laundering. By introducing super-network theory, we proposed a super-network model integrating social network and financial transaction network. Based on this super-network, we presented a multiple objective decision model, and after analyzing the optimal functions of the agents, the equilibrium flows for both social network and financial transition network are found so as for the super-network achieves an equilibrium state. Then we discussed how to analyze the suspicious transaction flows or suspicious financial agents using those equilibrium flows.

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