Abstract
We investigate a production network constructed by about 800 thousand firms in Japan with focus on its transaction flow between communities. Communities detected by maximizing modularity often contain nodes with common properties such as characterized by regions or industry sectors. Communities may thus upstream-downstream relationship according to their characteristics. Such directional bias of the connections between communities is evaluated through a polarization matrix of the network direction. We also devise a visualization method for directed network based on physical model. We attempt to draw a map of Japanese transaction flow in viewpoint of community structure.
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Iino, T., Iyetomi, H. (2012). Directional Bias between Communities of a Production Network in Japan. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29920-9_28
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DOI: https://doi.org/10.1007/978-3-642-29920-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29919-3
Online ISBN: 978-3-642-29920-9
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