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The Evolution and Emergence of Integrated Social and Financial Networks with Electronic Transactions: A Dynamic Supernetwork Theory for the Modeling, Analysis, and Computation of Financial Flows and Relationship Levels

机译:具有电子交易的集成社会和金融网络的演化和出现:动态超级网络理论,用于建模,分析和计算金融流量和关系级别

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In this paper, we propose a rigorous dynamic supernetwork theory for the integration of social networks with financial networks with intermediation in the presence of electronic transactions. We consider decision-makers with sources of funds, financial intermediaries, as well as demand markets for the various financial products. Through a multilevel supernetwork framework consisting of the financial network and the social network we model the multicriteria decision-making behavior of the various decision-makers, which includes the maximization of net return, the maximization of relationship values, and the minimization of risk. Increasing relationship levels in our framework are assumed to reduce transaction costs as well as risk and to have some additional value for the decision-makers. We explore the dynamic evolution of the financial flows, the associated product prices, as well as the relationship levels on the supernetwork until an equilibrium pattern is achieved. We provide some qualitative properties of the dynamic trajectories, under suitable assumptions, and propose a discrete-time algorithm which is then applied to track the evolution of the relationship levels over time as well as the financial flows and prices. The equilibrium pattern yields, as a byproduct, the emergent structure of the social and financial networks since it identifies not only which pairs of nodes will have flows but also the size of the flows, i.e., the relationship levels and the financial transactions.
机译:在本文中,我们提出了一种严格的动态超级网络理论,用于在电子交易存在的情况下将社交网络与金融网络进行中介整合。我们考虑具有资金来源,金融中介机构以及各种金融产品需求市场的决策者。通过一个由金融网络和社交网络组成的多级超级网络框架,我们对各种决策者的多准则决策行为进行建模,包括净收益的最大化,关系值的最大化以及风险的最小化。我们认为,在我们的框架中增加关系级别可以减少交易成本和风险,并为决策者提供一些额外的价值。我们探索了资金流量,相关产品价格以及超级网络上的关系水平的动态演变,直到实现均衡模式为止。在适当的假设下,我们提供了动态轨迹的一些定性性质,并提出了一种离散时间算法,然后将该算法应用于跟踪关系水平随时间以及资金流量和价格的演变。均衡模式作为副产品,产生了社会和金融网络的新兴结构,因为它不仅可以识别出哪些节点对将具有流量,而且还可以确定流量的大小,即关系水平和金融交易。

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