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

DOI Web Site Web Site 7 References
  • Ueno Takefumi
    University of Shizuoka, School of Management and Information
  • Saito Kazumi
    University of Shizuoka, School of Management and Information
  • Okimoto Madoka
    University of Shizuoka, School of Management and Information

Bibliographic Information

Other Title
  • ネットワーク分析を用いた産業連関表の可視化による主要取引関係の抽出
  • ネットワーク ブンセキ オ モチイタ サンギョウ レンカンヒョウ ノ カシカ ニ ヨル シュヨウ トリヒキ カンケイ ノ チュウシュツ

Search this article

Abstract

<p>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.</p>

Journal

References(7)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top