In this research, the authors tried to evaluate changes in B2B transactions within the Japanese textile and apparel industry using the data of 200 apparel companies in total during 2005 to 2010. In network analysis, there are an edge number, an average degree, a network path length, and a network density. The authors used these macro indexes focusing on the whole network structure and the exchange rate of USD/JPY. As a result, the regression equation (R2 = 0.793) was found which correlated negatively between the exchange rate of USD/JPY and the network path length. A network path length is the number of intervals of an industrial network, equal to the number of transactions of non-hub companies. It was quantified that the number of transactions increased when yen was strong, and the number of transactions decreased when yen was weak.