Traditionally, social networks are regarded as interaction patterns between people. Since organizations also interact and are composed of people then the notion of social networks may be extended to these entities. Furthermore, in some industries, interactions between organizations take place in a somewhat well defined environment in which quantitative data may be readily extracted. This research explores how that data may be used create a mathematical model that depicts the interaction patterns between organizations. The interaction data used are transactions in the Indonesian inter-bank money market. Individual behavior is modeled as a multiple linear regression equation with the weighted average of the bank’s lending rate in the market and the environmental variables regarded to have some effect in determination of the bank’s rate (in which some are controllable by the central bank) as the dependent and independent variables, respectively. Afterwards, the resulting model can be incorporated in the policymaking process of the central bank.