学歴

職歴

著作物

• 青山秀明，家富洋，池田裕一，相馬亘，藤原義久，「パレート・ファームズ：企業の興亡とつながりの科学」，日本経済評論社，2007年，pp. 385.
• 青山秀明，家富洋，池田裕一，相馬亘，藤原義久，「経済物理学」，共立出版，2008年，pp. 450.
• 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.
• 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, W. Souma, and H. Yoshikawa, “Macro-Econophysics: New Studies on Economic Networks and Synchronization” (Cambridge University Press, 2017), pp. 435.
• 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.

論文

• Y. Nakayama and H. Iyetomi, "Random Matrix Theory of Dynamical Cross Correlations in Financial Data", Prog. Theor. Phys. Suppl., 179, 60-70 (2009).
• H. Aoyama, H. Yoshikawa, H. Iyetomi, and Y. Fujiwara, "Labour Productivity Superstatistics", Prog. Theor. Phys. Suppl., 179, 80-92 (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).
• 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, 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).
• 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.
• 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.
• Y. Arai and H. Iyetomi, “Numerical Study of Generalized Random Correlation Matrices: Autocorrelation Effects”, Prog. Theor. Phys. Suppl., 194, 84-93, 2012.
• H. Iyetomi, “Labor Productivity Distribution with Negative Temperature”, Prog. Theor. Phys. Suppl., 194, 135-143, 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, 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. Yoshikawa, Y. Arai, and H. Iyetomi, “Comparative Study of Correlations in Financial Markets”, Frontiers in Artificial Intelligence and Applications, 255, 104 - 110, 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.
• 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.
• H. Aoyama, H. Iyetomi, and H. Yoshikawa, “Equilibrium Distribution of Labor Productivity: A Theoretical Model”, J. Econ. Interact. Coord., 10, pp. 57-66, 2015.
• 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.
• 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, "Backbone of Credit Relationships in the Japanese Credit Market", EPJ Data Science, 5(1), 1-14, 2016.
• 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.
• 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.
• Y. Fujita, Y. Kichikawa, Y. Fujiwara, W. Souma, and H. Iyetomi, "Local bow-tie structure of the web", Applied Network Science, 4, 15, 2019.
• 新井優太，家富洋，清水千弘，「サッカーにおける集団プレイの検出とその指標化に向けて」，日本人工知能学会誌（特集「スポーツ競技とAI」）, 34(4), 511-516, 2019.
• 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. 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.
• 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.
• 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.
• 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.
• 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."
• 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).

その他