Fellow Researchers Profile

Hiroshi IYETOMI

Hiroshi IYETOMI

Senior Research Fellow

Professor of Data Science at Rissho University

［Research Themes］
Economic analysis using large-scale business data
Research on fluctuations in products and real estate prices

Expertise

  • Collective motion in economic systems
  • Hierarchy and circularity of economic networks
  • Statistical physics approach to economic phenomena
  • Econophysics, Mutlivariate Analysis, Network Science

Profile

Education

1984 DSc (The University of Tokyo)
1981 MSc (The University of Tokyo)
1979 BSc (The University of Tokyo)

Career

2021.04 - present Professor, Rissho University
2017.04 - 2020.03 Vice-Dean, Graduate School of Science and Technology, Niigata University
2013.05 - 2021.03 Professor, Niigata University
2012.04 - 2013.04 Project Professor, The University of Tokyo
2002.02 - 2012.03 Professor, Niigata University
2010.11 - 2012.03 Director, Niigata University Library
1995.01 - 2002.01 Associate Professor, Niigata University
1994.09 - 1994.12 Senior Researcher, Energy Research Laboratory, Hitachi Ltd.
1993.04 - 1994.08 Researcher, Energy Research Laboratory, Hitachi Ltd.
1987.09 - 1989.08 Research Associate, Argonne National Laboratory
1984.04 - 1993.03 Assistant Professor, The University of Tokyo

Publications

  • Y. Ikeda, H. Iyetomi, and T. Mizuno (eds.), "Big Data Analysis on Global Community Formation and Isolation: Sustainability and Flow of Commodities, Money, and Humans" (Springer Nature, 2021), pp. 523.
  • H. Aoyama, Y. Fujiwara, Y. Ikeda, H. Iyetomi, W. Souma, and H. Yoshikawa, “Macro-Econophysics: New Studies on Economic Networks and Synchronization” (Cambridge University Press, 2017), pp. 435.
  • T. Iino and H. Iyetomi, “Community Structure of a Large-scale Production Network in Japan”, in The Economics of Interfirm Networks, eds. T. Watanabe, A. Ono and I. Uesugi (Springer, Tokyo, 2015), pp. 39-65.
  • H. Aoyama, Y. Fujiwara, Y. Ikeda, H. Iyetomi, and W. Souma, “Econophysics and Companies ? Statistical Life and Death in Complex Business Networks” (Cambridge University Press, 2010), pp. 262.
  • H. Aoyama, Y. Fujiwara, Y. Ikeda, H. Iyetomi, and W. Souma, “Econophysics” (Kyoritsu Shuppan, 2008), pp. 450, in Japanese.
  • H. Aoyama, Y. Fujiwara, Y. Ikeda, H. Iyetomi, and W. Souma, “Pareto Firms” (Nihonkeizaihyoron-sha, 2007), pp. 385, in Japanese.

Papers

  • Y. Kichikawa, T. Iino, Y. Ikeda, and H. Iyetomi, "Firm-level Study on the Global Connection through Stock Ownership Relations", RIETI Discussion Paper Series, 22-E-112 (2022).
  • "I. Vodenska, H. Aoyama, A. P. Becker, Y. Fujiwara, H. Iyetomi, and E. Lungu,
    “From Stress Testing to Systemic Stress Testing: The Importance of Macroprudential Regulation”, Journal of Financial Stability, 52, 100803, 2021."
  • R. Hisano, H. Iyetomi, and T. Mizuno, "Identifying the Hierarchical Influence Structure Behind Smart Sanctions Using Network Analysis", in Proc. International Conference on Social Informatics (Springer, Chambridge, 2020), pp. 95-107.
  • H. Iyetomi, "Collective Phenomena in Economic Systems", in H. Aoyama, Y. Aruka, and H. Yoshikawa (eds), "Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics" (Springer, Singapore, 2020), pp. 177-201.
  • H. Iyetomi, H. Aoyama, Y. Fujiwara, W. Souma, I. Vodenska, and H. Yoshikawa, "Relationship between Macroeconomic Indicators and Economic Cycles in U.S.”, Scientific Reports, 10, 8420, 2020.
  • Y. Kichikawa, H. Iyetomi, H. Aoyama, Y. Fujiwara, and H. Yoshikawa, "Interindustry linkages of prices---Analysis of Japan’s deflation", PLoS ONE, 15(2): e0228026, 2020.
  • Y. Kichikawa, T. Iino, H. Iyetomi, and H. Inoue, "Community structure based on circular flow in a large-scale transaction network", Applied Network Science, 4, 92, 2019.
  • Y. Arai, H. Iyetomi, and C. Shimizu, "Towards Detection of Collective Plays and Their Quantification in Soccer", Artificial Intelligence, 34(4), 511-516, 2019 [in Japanese].
  • Y. Fujita, Y. Kichikawa, Y. Fujiwara, W. Souma, and H. Iyetomi, "Local bow-tie structure of the web", Applied Network Science, 4, 15, 2019.
  • Y. Kichikawa, T. Iino, H. Iyetomi, and H. Inoue, "Visualization of a directed network with focus on its hierarchy and circularity", J. Comput. Soc. Sc., 2, 15-23, 2019.
  • A. Chakraborty, Y. Kichikawa, T. Iino, H. Iyetomi, H. Inoue, Y. Fujiwara, and H. Aoyama, "Hierarchical Communities in the Walnut Structure of the Japanese Production Network", PLoS ONE 13(8): e0202739, 2018.
  • L. Marotta, S. Micciche, Y. Fujiwara, H. Iyetomi, H. Aoyama, M. Gallegati, and R. N. Mantegna, "Backbone of Credit Relationships in the Japanese Credit Market", EPJ Data Science, 5(1), 1-14, 2016.
    • I. Vodenska, H. Aoyama, Y. Fujiwara, H. Iyetomi, and Y. Arai, “Interdependencies and Causalities in Coupled Financial Networks”, PLoS ONE, 11(3), e0150994, 2016.
  • L. Marotta, S. Micciche, Y. Fujiwara, H. Iyetomi, H. Aoyama, M. Gallegati, and R. N. Mantegna, "Bank-firm Credit Network in Japan. An Analysis of a Bipartite Network", PLoS ONE, 10(5), e0123079, 2015.
    • H. Aoyama, H. Iyetomi, and H. Yoshikawa, “Equilibrium Distribution of Labor Productivity: A Theoretical Model”, J. Econ. Interact. Coord., 10, pp. 57-66, 2015.
  • Y. Matsuura, T. Iino, and H. Iyetomi, “Temporal Change of Community Structure in the Japanese Credit Network”, Frontiers in Artificial Intelligence and Applications, 255, 399 - 408, 2013.
  • Y. Arai and H. Iyetomi, “Complex Principal Component Analysis of Dynamic Correlations in Financial Markets”, Frontiers in Artificial Intelligence and Applications, 255, 111 - 119, 2013.
  • T. Yoshikawa, Y. Arai, and H. Iyetomi, “Comparative Study of Correlations in Financial Markets”, Frontiers in Artificial Intelligence and Applications, 255, 104 - 110, 2013.
  • H. Iyetomi, H. Aoyama, Y. Fujiwara, Y. Ikeda, and W. Souma, "A Paradigm Shift from Production Function to Production Copula: Statistical Description of Production Activity of Firms", Quantitative Finance, 12(9), 1453-1466, 2012.
  • T. Iino and H. Iyetomi, “Subcommunities and Their Mutual Relationships in a Transaction Network”, Prog. Theor. Phys. Suppl., 194, 144-157, 2012.
  • H. Iyetomi, “Labor Productivity Distribution with Negative Temperature”, Prog. Theor. Phys. Suppl., 194, 135-143, 2012.
  • Y. Arai and H. Iyetomi, “Numerical Study of Generalized Random Correlation Matrices: Autocorrelation Effects”, Prog. Theor. Phys. Suppl., 194, 84-93, 2012.
  • T. Yoshikawa, T. Iino, and H. Iyetomi, “Observation of Frustrated Correlation Structure in a Well-Developed Financial Market”, Prog. Theor. Phys. Suppl., 194, 55-63, 2012.
  • H. Iyetomi, Y. Nakayama, H. Yoshikawa, H. Aoyama, Y. Fujiwara, Y. Ikeda, and W. Souma, “What Causes Business Cycles? Analysis of the Japanese Industrial Production Data”, Journal of The Japanese and International Economies, 25, 246?272, 2011.
  • H. Iyetomi, Y. Nakayama, H. Aoyama, Y. Fujiwara, Y. Ikeda, and W. Souma, “Fluctuation-Dissipation Theory of Input-Output Interindustrial relations”, Phys. Rev. E, 83, 016103 (2011).
  • T. Iino and H. Iyetomi, "Modeling of Relation Between Transaction Network and Production Activity for Firms", Prog. Theor. Phys. Suppl., 179, 134-144 (2009).
  • H. Iyetomi, H. Aoyama, Y. Fujiwara, Y. Ikeda, and W. Souma, "Agent-Based Model Approach to Complex Phenomena in Real Economy", Prog. Theor. Phys. Suppl., 179, 123-133 (2009).
  • H. Aoyama, H. Yoshikawa, H. Iyetomi, and Y. Fujiwara, "Labour Productivity Superstatistics", Prog. Theor. Phys. Suppl., 179, 80-92 (2009).
  • Y. Nakayama and H. Iyetomi, "Random Matrix Theory of Dynamical Cross Correlations in Financial Data", Prog. Theor. Phys. Suppl., 179, 60-70 (2009).

Others

2012.08 - present Associate Editor, Journal of Economic Interaction and Coordination (Springer)