{"id":7486,"date":"2020-05-20T15:28:54","date_gmt":"2020-05-20T06:28:54","guid":{"rendered":"http:\/\/prodigium.jp\/wp\/?page_id=7486"},"modified":"2026-04-02T21:41:55","modified_gmt":"2026-04-02T12:41:55","slug":"publication-ja","status":"publish","type":"page","link":"http:\/\/prodigium.jp\/personal\/ja\/publication-ja\/","title":{"rendered":"\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"\nResearchMap<\/a>\u3092\u53c2\u7167\u304f\u3060\u3055\u3044\u3002

\n\n\n\n***** Selected papers (Reviewed journal articles) *****
\n49<\/span> Hiroyasu Inoue, The global dissemination of COVID-19 through two coexisting international transmission patterns, EPJ Data Science<\/a>, 2026.(Open access)<\/span>
\n48<\/span> Junhyun Chae, Hiroyasu Inoue, Multilayer Propagation of Cross-Country Systemic Risk, Journal of Risk and Financial Management<\/a>,19(3), 2026.(Open access)<\/span>
\n47<\/span> 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<\/a>, 2025 RIETI Discussion Paper Series, 22-E-026, 2022.<\/a> Featured on VOXEU<\/a><\/span>
\n46<\/span> 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<\/a>, 25(6), 973-1006. SSRN<\/a>
\n45<\/span> 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<\/a>, 15(1081), 2025.(Open access)<\/span>
\n44<\/span> 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<\/a>, 29(2), 205-210 (2024). (Open access)<\/span>
\n43<\/span> 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<\/a>, 29, 449-458 (2024). (Open access)<\/span>
\n42<\/span> H.Inoue and Y.Todo, Disruption of international trade and its propagation through firm-level domestic supply chains: A case of Japan, PLOS ONE<\/a>, 18(11), 2023. (Open access)<\/span> Featured on VOXEU<\/a><\/span>
\n41<\/span> H.Inoue, Y.Okumura, T.Torayashiki, and Y.Todo, “Simulation of supply chain disruptions considering establishments and power outages”, PLOS ONE<\/a>, 18(7), 2023. (Open access)<\/span>
\n40<\/span> 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<\/a>, 32(6), 1267-1285, 2023. (Open access)<\/span> BERG Working Paper Series<\/a>
\n39<\/span> Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Supply-chain simulations for shaping lockdown policies”, Spatial Economic Analysis<\/a>, 2023. (Open access)<\/span> SSRN<\/a>, RIETI Discussion Paper<\/a>
\n38<\/span> Hiroyasu Inoue and Yasuyuki Todo, “Has COVID-19 Permanently Changed Online Consumption Behavior?”, EPJ Data Science<\/a>, 12:1, (2023). (Open access)<\/span> RIETI Discussion Paper<\/a>
\n37<\/span> 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<\/a> (2022): 1-7. (Open access)<\/span>
\n36<\/span> H.Inoue, “Propagation of International Supply-Chain Disruptions between Firms in a Country”, Journal of Risk and Financial Management<\/a>, 14(10), 461, 2021. (Open access)<\/span> SSRN<\/a>
\n35<\/span> 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<\/a>, 2021. (Open access)<\/span> SSRN<\/a> Arxiv<\/a> RIETI DP 21-E005<\/a> Featured on VOXEU<\/a><\/span>
\n34<\/span> Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?”, PLOS ONE<\/a>, 16(7), e0255031, 2021 (Open access)<\/span> COVID Economics, 56, pp.157-194, 2020.<\/a> Arxiv<\/a> SSRN<\/a> Featured on VOXEU<\/a><\/span>
\n33<\/span> Y. Todo and H. Inoue, “Geographic Diversification of the Supply Chains of Japanese Firms”, Asian Economic Policy Review<\/a>, 2021. (Open access)<\/span>
\n32<\/span> 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<\/a>, 15(9): e0239251, 2020. (Open access)<\/span> Covid Economics: Vetted and Real-Time Papers, Issue 2, pp. 43-59 (2020).<\/a> (RIETI Discussion Paper)<\/a> (Social Science Research Network)<\/a> SlideShare<\/a> SlideShare(Japanese)<\/a> Featured on VOXEU<\/a><\/span>
\n31<\/span> H. Krichene, H. Inoue, T. Isogai, and A. Chakraborty, “A model of indirect losses from negatives shocks in production and finance”, PLOS ONE<\/a> 15(9): e0239293, 2020. (Open access)<\/span> Social Science Research Network<\/a>
\n30<\/span> A. Chakraborty, H. Inoue, and Y. Fujiwara, “Economic complexity of prefectures in Japan”, PLOS ONE<\/a> 15(8): e0238017, 2020. (Open access)<\/span>
\n29<\/span> 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<\/a>, 2020. (Open access)<\/span>
\n28<\/span> Y. Kichikawa, H. Iyetomi, T. Iino, H. Inoue: “Community structure based on circular flow in a large-scale transaction network”, Applied Network Science<\/a>, 4(92), 2019. (Open access)<\/span>
\n27<\/span> H. Inoue, and Y. Todo: “Firm-level propagation of shocks through supply-chain networks”, Nature Sustainability<\/a>, Vol.2, pp.841-847, 2019. (Open access)<\/span> Featured on VOXEU<\/a><\/span> Blog post Behind the paper<\/a><\/span>
\n26<\/span> 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<\/a>, Volume 59, pp. 1-9. (2019) (RIETI Discussion Paper)<\/a>
\n25<\/span> H. Inoue, K. Nakajima, and Y. U. Saito: “Localization of Collaborations in Knowledge Creation”, The Annals of Regional Science<\/a>, 62(1), pp.119-140, 2018. (Open access)<\/span> Featured on VOXEU<\/a><\/span>
\n24<\/span> H. Inoue and Y. Todo: “Propagation of negative shocks across nation-wide firm networks”, PLOS ONE<\/a> 14(3): e0213648, 2019. (Open access)<\/span> Featured on VOXEU<\/a><\/span>
\n23<\/span> 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<\/a>, Vol. 2, No. 1, pp. 3-13, 2019.
\n22<\/span> 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<\/a>, Vol. 2, No. 1, pp. 15-23, 2019.
\n21<\/span> A. Chakraborty, H. Krichene, H. Inoue, and Y. Fujiwara: “Characterization of the community structure in a large-scale production network in Japan”, Physica A<\/a>, 513, pp. 210-221, 2019.
\n20<\/span> 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<\/a>, 4(5), 2019. (Open access)<\/span>
\n19<\/span> H. Inoue: “The Community Structure of Business Establishments and its Property: Evidence from Joint Patent Applications”, Evolutionary and Institutional Economics Review<\/a>, 15(2), pp 465-475, 2018. (Open access)<\/span>
\n18<\/span> 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<\/a> 13(8), 2018. (Open access)<\/span>
\n17<\/span> H. Krichene, A. Chakraborty, H. Inoue, and Y. Fujiwara: “Business cycles’ correlation and systemic risk of the Japanese supplier-customer network”, PLOS ONE<\/a> 12(10): e0186467. (2017) (Open access)<\/span>
\n16<\/span> H. Inoue: “Controllability Analyses of Nation-wide Firm Networks”, Evolutionary and Institutional Economics Review<\/a>, 14(2), pp. 335-349 (2017). (arXiv)<\/a>
\n15<\/span> H. Inoue and E. Yamaguchi: “Evaluation of the Small Business Innovation Research Program in Japan”, SAGE Open<\/a>, Volume 7, Issue 1, pp. 1-9, 2017. (Open access)<\/span>
\n14<\/span> H. Inoue, K. Nakajima, and Y.U. Saito, Localization of knowledge-creating establishments. Japan and the World Economy<\/a>, 43, 23-29, 2017. (RIETI Discussion Paper)<\/a> Featured on VOXEU<\/a><\/span>.
\n13<\/span> H. Inoue, “Analyses of Aggregate Fluctuation of Production Network Based on the Self-Organized Criticality Model”, Evolutionary and Institutional Economics Review<\/a>, pp. 1-14, 2016. (arXiv)<\/a>
\n12<\/span> 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<\/a>, Vol. 45, No. 9, pp. 1890-1906, 2016. (Open access)<\/span>
\n11<\/span> H. Inoue: “Evidence for a Creative Dilemma Posed by Repeated Collaborations”, PLOS ONE<\/a> 10(9): e0137418. doi:10.1371\/journal.pone.0137418, 2015. (Open access)<\/span>
\n10<\/span> H. Inoue and Y. Liu: “Revealing the intricate effect of collaboration on innovation”, PLOS ONE<\/a> 10(3): e0121973. doi:10.1371\/journal.pone.0121973, 2015. (Open access)<\/span>
\n9<\/span> H. Inoue: “A two-layer team-assembly model for invention networks”, Physica A<\/a>, Vol. 413, pp.181-188, 2014. (Open access)<\/span>
\n8<\/span> Hiroyasu Inoue: “Analyses of Compound Structures of Groups that Produce Intellectual Property”, Journal of Advanced Computational Intelligence and Intelligent Informatics<\/a>, Vol. 15, No. 2, pp180-187, 2011\/03.
\n7<\/span> H. Inoue, W. Souma, and S. Tamada: “Analysis of cooperative research and development networks on Japanese patents”, Informetrics<\/a>, Vol.4, pp.89-96, 2010\/01.
\n6<\/span> 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)
\n5<\/span> H. Inoue, W. Souma, and S. Tamada: “Spatial Characteristics of Joint Application Networks in Japanese Patents”, Physica A<\/a>, Volume 383, pp. 152-157, 2007\/9.
\n4<\/span> 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)
\n3<\/span> 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)
\n2<\/span> 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.
\n1<\/span> 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)<\/a>, Vol.5, pp.109-119, Springer-Verlag, 2001\/6.
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