Extracting Significant Trading Relationship by Visualization of Input-output Tables Using Network Analysis

Abstract

We proposed a new method for analyzing the relationship among industrial sectors by Z-score standardizing and visualizing the input-output tables as minimum spanning trees (MST). These results are also quantitatively evaluated in terms of degree centrality and closeness centrality. We confirmed the effectiveness of our method in comparison with the simple method of no Z-score standardization and with a conventional method based on stock market data. In our experiments, using the input-output tables in Japan in 2000 and 2005 and stock data in 2005, the simple method centralized industrial sectors, (such as other business services whose trade volume is simply larger), while our proposed method centralized sectors, (such as electronics, financial and pharmaceutical industries). In addition, we confirmed that our method showed more accurate economic transaction between industries than the conventional stock analysis method.