The purpose of this study is to show methods of social network analysis are helpful to understand results of economic analysis, such as linear programming. But as the number of variables used by the model increases, multi-dimension matrix produced by the transshipment model becomes more complicated. To get more intuitive informations from the result matrix of the transshipment model for agricultural products distribution centers, social network measures were applied. Social network measures, such as betweenness centralities and role equivalences can be used to compare functions of distribution centers. Visualizing relationships among nodes helps to find out transaction networks of certain distribution center. And centralities and equivalences provide additional informations about functions of distribution centers, which could not be obtained from the transshipment model. Methods of social network analysis can be a good alternative to discover characteristics of a complicated matrix.