***** Selected papers (Reviewed journal articles) ***** 49 Hiroyasu Inoue, The global dissemination of COVID-19 through two coexisting international transmission patterns, EPJ Data Science, 2026.(Open access) 48 Junhyun Chae, Hiroyasu Inoue, Multilayer Propagation of Cross-Country Systemic Risk, Journal of Risk and Financial Management,19(3), 2026.(Open access) 47 INOUE Hiroyasu, NAKAJIMA Kentaro, OKAZAKI Tetsuji, and SAITO Yukiko, The Role of Face-to-face Contact in Innovation: The Evidence from the Spanish Flu Pandemic in Japan, The Japanese Economic Review, 2025 RIETI Discussion Paper Series, 22-E-026, 2022.Featured on VOXEU 46 Duc Thi Luu, Hiroyasu Inoue, Lutz Honvehlmann, Thomas Lux, and Yoshi Fujiwara, Multilayer Interdependencies in the Banking System of Japan: Correlation Dynamics and Its Determinants. Quantitative Finance, 25(6), 973-1006. SSRN 45 Yu Kimura, Tatsunori Seki, Keisuke Chujo, Toshiki Murata, Tomoaki Sakurai, Satoshi Miyata, Hiroyasu Inoue, and Nobuyasu Ito, Hot-spot analysis of COVID-19 infection using mobile phone location data: A case study of Tokyo, Scientific Reports, 15(1081), 2025.(Open access) 44 Keisuke Chujo, Tatsunori Seki, Toshiki Murata, Yu Kimura, Tomoaki Sakurai, Satoshi Miyata, Hiroyasu Inoue, and Nobuyasu Ito, “Regional trends in the number of COVID-19 cases”, Artificial Life and Robotics, 29(2), 205-210 (2024). (Open access) 43 T.Seki, T.Sakurai, S.Miyata, K.Chujo, T.Murata, H.Inoue, & N.Ito, “Prediction of COVID-19 cases using SIR and AR models: Tokyo-specific and nationwide application”, Artificial Life and Robotics, 29, 449-458 (2024). (Open access) 42 H.Inoue and Y.Todo, Disruption of international trade and its propagation through firm-level domestic supply chains: A case of Japan, PLOS ONE, 18(11), 2023. (Open access)Featured on VOXEU 41 H.Inoue, Y.Okumura, T.Torayashiki, and Y.Todo, “Simulation of supply chain disruptions considering establishments and power outages”, PLOS ONE, 18(7), 2023. (Open access) 40 Philipp Mundt, Ivan Savin, Uwe Cantner, Hiroyasu Inoue, and Simone Vannuccini, “Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective”, Industrial and Corporate Change, 32(6), 1267-1285, 2023. (Open access)BERG Working Paper Series 39 Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Supply-chain simulations for shaping lockdown policies”, Spatial Economic Analysis, 2023. (Open access)SSRN, RIETI Discussion Paper 38 Hiroyasu Inoue and Yasuyuki Todo, “Has COVID-19 Permanently Changed Online Consumption Behavior?”, EPJ Data Science, 12:1, (2023). (Open access)RIETI Discussion Paper 37 Y.Kimura, T.Seki, S.Miyata, Y.Arai, T.Murata, H.Inoue, and N.Ito, “Hotspot analysis of COVID-19 infection using mobile-phone location data.” Artificial Life and Robotics (2022): 1-7. (Open access) 36 H.Inoue, “Propagation of International Supply-Chain Disruptions between Firms in a Country”, Journal of Risk and Financial Management, 14(10), 461, 2021. (Open access)SSRN 35 Yoshi Fujiwara, Hiroyasu Inoue, Takayuki Yamaguchi, Hideaki Aoyama, Takuma Tanaka, Kentaro Kikuchi, “Money flow network among firms’ accounts in a regional bank of Japan”, EPJ Data Science, 2021. (Open access)SSRNArxivRIETI DP 21-E005Featured on VOXEU 34 Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?”, PLOS ONE, 16(7), e0255031, 2021 (Open access)COVID Economics, 56, pp.157-194, 2020.ArxivSSRNFeatured on VOXEU 33 Y. Todo and H. Inoue, “Geographic Diversification of the Supply Chains of Japanese Firms”, Asian Economic Policy Review, 2021. (Open access) 32 H. Inoue, and Y. Todo, “The propagation of the economic impact through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19”, PLOS ONE, 15(9): e0239251, 2020. (Open access)Covid Economics: Vetted and Real-Time Papers, Issue 2, pp. 43-59 (2020).(RIETI Discussion Paper)(Social Science Research Network)SlideShareSlideShare(Japanese)Featured on VOXEU 31 H. Krichene, H. Inoue, T. Isogai, and A. Chakraborty, “A model of indirect losses from negatives shocks in production and finance”, PLOS ONE 15(9): e0239293, 2020. (Open access)Social Science Research Network 30 A. Chakraborty, H. Inoue, and Y. Fujiwara, “Economic complexity of prefectures in Japan”, PLOS ONE 15(8): e0238017, 2020. (Open access) 29 T. Iino, H. Inoue, Y. Saito, and Y. Todo: “How does the global network of research collaboration affect the quality of innovation?”, The Japanese Economic Review, 2020. (Open access) 28 Y. Kichikawa, H. Iyetomi, T. Iino, H. Inoue: “Community structure based on circular flow in a large-scale transaction network”, Applied Network Science, 4(92), 2019. (Open access) 27 H. Inoue, and Y. Todo: “Firm-level propagation of shocks through supply-chain networks”, Nature Sustainability, Vol.2, pp.841-847, 2019. (Open access)Featured on VOXEUBlog post Behind the paper 26 H. Krichene, Y. Fujiwara, A. Chakraborty, Y. Arata, H. Inoue, and M. Terai, “The emergence of properties of the Japanese production network: How do listed firms choose their partners?”, Social Networks, Volume 59, pp. 1-9. (2019) (RIETI Discussion Paper) 25 H. Inoue, K. Nakajima, and Y. U. Saito: “Localization of Collaborations in Knowledge Creation”, The Annals of Regional Science, 62(1), pp.119-140, 2018. (Open access)Featured on VOXEU 24 H. Inoue and Y. Todo: “Propagation of negative shocks across nation-wide firm networks”, PLOS ONE 14(3): e0213648, 2019. (Open access)Featured on VOXEU 23 A. Chakraborty, H. Krichene, H. Inoue, and Y. Fujiwara: “Exponential random graph models for the Japanese bipartite network of banks and firms”, Journal of Computational Social Science, Vol. 2, No. 1, pp. 3-13, 2019. 22 Y. Kichikawa, H. Iyetomi, T. Iino, and H. Inoue: “Visualization of a directed network with focus on its hierarchy and circularity”, Journal of Computational Social Science, Vol. 2, No. 1, pp. 15-23, 2019. 21 A. Chakraborty, H. Krichene, H. Inoue, and Y. Fujiwara: “Characterization of the community structure in a large-scale production network in Japan”, Physica A, 513, pp. 210-221, 2019. 20 H. Krichene, A Chakraborty, Y. Fujiwara, H. Inoue, M. Terai: “Tie-formation process within the communities of the Japanese production network: application of an exponential random graph model”, Applied Network Science, 4(5), 2019. (Open access) 19 H. Inoue: “The Community Structure of Business Establishments and its Property: Evidence from Joint Patent Applications”, Evolutionary and Institutional Economics Review, 15(2), pp 465-475, 2018. (Open access) 18 A. Chakraborty, Y. Kichikawa, T. Iino, H. Iyetomi, H. Inoue, Y. Fujiwara, and H. Aoyama: “Hierarchical Communities in Walnut Structure of Japanese Production Network”, PLOS ONE 13(8), 2018. (Open access) 17 H. Krichene, A. Chakraborty, H. Inoue, and Y. Fujiwara: “Business cycles’ correlation and systemic risk of the Japanese supplier-customer network”, PLOS ONE 12(10): e0186467. (2017) (Open access) 16 H. Inoue: “Controllability Analyses of Nation-wide Firm Networks”, Evolutionary and Institutional Economics Review, 14(2), pp. 335-349 (2017). (arXiv) 15 H. Inoue and E. Yamaguchi: “Evaluation of the Small Business Innovation Research Program in Japan”, SAGE Open, Volume 7, Issue 1, pp. 1-9, 2017. (Open access) 14 H. Inoue, K. Nakajima, and Y.U. Saito, Localization of knowledge-creating establishments. Japan and the World Economy, 43, 23-29, 2017. (RIETI Discussion Paper)Featured on VOXEU. 13 H. Inoue, “Analyses of Aggregate Fluctuation of Production Network Based on the Self-Organized Criticality Model”, Evolutionary and Institutional Economics Review, pp. 1-14, 2016. (arXiv) 12 Y. Todo, P. Matous, H. Inoue, “The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks”, Research Policy, Vol. 45, No. 9, pp. 1890-1906, 2016. (Open access) 11 H. Inoue: “Evidence for a Creative Dilemma Posed by Repeated Collaborations”, PLOS ONE 10(9): e0137418. doi:10.1371/journal.pone.0137418, 2015. (Open access) 10 H. Inoue and Y. Liu: “Revealing the intricate effect of collaboration on innovation”, PLOS ONE 10(3): e0121973. doi:10.1371/journal.pone.0121973, 2015. (Open access) 9 H. Inoue: “A two-layer team-assembly model for invention networks”, Physica A, Vol. 413, pp.181-188, 2014. (Open access) 8 Hiroyasu Inoue: “Analyses of Compound Structures of Groups that Produce Intellectual Property”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 15, No. 2, pp180-187, 2011/03. 7 H. Inoue, W. Souma, and S. Tamada: “Analysis of cooperative research and development networks on Japanese patents”, Informetrics, Vol.4, pp.89-96, 2010/01. 6 H. Inoue, W. Souma, and S. Tamada: “Analysis and Modeling of a Network Based on Joint Patent Applications to Understand the Dynamics of Cooperative Research and Development”, Journal of Information Processing Society of Japan, Vol.49, No.4, pp. 1563-1570, 2008/4. (In Japanese) 5 H. Inoue, W. Souma, and S. Tamada: “Spatial Characteristics of Joint Application Networks in Japanese Patents”, Physica A, Volume 383, pp. 152-157, 2007/9. 4 H. Inoue, K. Takadama, and K. Shimohara: “Improvement of Learning Classifier System by Action-value Function toward Multi-agent Reinforcement Learning”, Journal of Information Processing Society of Japan, Vol.47, No.5, pp.1483-1492, 2006/5. (In Japanese) 3 H. Inoue, K. Shimohara, and O. Katai: “Local Policy-sharing Systems for Multi-agent Reinforcement Learning An Approach from the Learning Classifier System”, Transactions of the Institute of Systems, Control and Information Engineers, Vol.19, No.2, pp.59-68, 2006. (In Japanese) 2 H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Learning Classifier System Enabling Adaptation to Mixed Known Environments”, The Journal of Three Dimensional Images, Vol.16, No.4, pp. 208-213, 2002/12. 1 K. Takadama, H. Inoue, M. Okada, K. Shimohara, and O. Katai: “Agent Architecture based on an Interactive Self-Reflection Classifier System”, International Journal of Artificial Life and Robotics (AROB), Vol.5, pp.109-119, Springer-Verlag, 2001/6.
