Publication

  
*****Preprint (Under review)*****
1 Hiroyasu Inoue, Wataru Souma, Yoshi Fujiwara, “The Coexistence of Infection Spread Patterns in the Global Dynamics of COVID-19 Dissemination.” In Review Arxiv SSRN
2 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. (To appear)
3 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”
4Tatsunori Seki, Keisuke Chujo, Yu Kimura, Toshiki Murata, Tomoaki Sakurai, Satoshi Miyata, Hiroyasu Inoue, and Nobuyasu Ito, “Prediction of COVID-19 Using SIR and AR models: Tokyo and nation-wide cases”
5Duc Thi Luu, Hiroyasu Inoue, Lutz Honvehlmann, Thomas Lux, and Yoshi Fujiwara, Multilayer Interdependencies in the Banking System of Japan: Correlation Dynamics and Its Determinants. SSRN
6Hiroyasu Inoue, “Toward a simulation of business-establishment supply chains”, Proceedings of Artificial Life and Robotics 2022, pp. 1687-1692, 2022.
7INOUE 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, RIETI Discussion Paper Series, 22-E-026, 2022. Featured on VOXEU
8Hiroyasu Inoue, “The Economic Impact of Heavy Rains on Supply Chains”, Social Science Research Network, 2021.
9Hiroyasu Inoue, Tetsuji Okazaki, Yukiko Umeno Saito, Kentaro Nakajima, “Innovation Activities in Prewar Japan: Patent Bibliographic Information Database”, (In Japanese), RIETI Discussion Paper Series, 20-P-012, 2020.
10H. Inoue, K. Nakajima, Y. Saito: “The Impact of the Opening of High-Speed Rail on Innovation”, RIETI Discussion Paper Series, 17-E-034, 2017.
11H. Inoue, K. Nakajima, and Y.U. Saito: “Innovation and collaboration patterns between research establishments”, RIETI Discussion Paper Series, 15-E-049, 2015.
(There are 1 works in Japanese (except above.))
*****Journal articles*****
1H.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
2H.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)
3 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, 2023. (Open access) BERG Working Paper Series
4Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Supply-chain simulations for shaping lockdown policies”, Spatial Economic Analysis 2023. (Open access) SSRN, RIETI Discussion Paper
5Hiroyasu Inoue and Yasuyuki Todo, “Has COVID-19 Permanently Changed Online Consumption Behavior?”, EPJ Data Science, 12:1, (2023) . (Open access) RIETI Discussion Paper
6Y.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)
7H.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
8Yoshi 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) SSRN Arxiv RIETI DP 21-E005 Featured on VOXEU
9Hiroyasu 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. Arxiv SSRN Featured on VOXEU
10Y. Todo and H. Inoue, “Geographic Diversification of the Supply Chains of Japanese Firms”, Asian Economic Policy Review, 2021. (Open access)
11 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) SlideShare SlideShare(Japanese) Featured on VOXEU
12H. 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
13A. Chakraborty, H. Inoue, and Y. Fujiwara, “Economic complexity of prefectures in Japan”, PLoS ONE 15(8): e0238017, 2020. (Open access)
14T. 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)
15Y. 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)
16H. 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 VOXEU Blog post Behind the paper
17H. 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)
18H. 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
19H. Inoue and Y. Todo: “Propagation of negative shocks across nation-wide firm networks”, PLoS ONE 14(3): e0213648, 2019. (Open access) Featured on VOXEU
20A. 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.
21Y. 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.
22A. Chakraborty, H. Krichene, H. Inoue, and Y. Fujiwara: “Characterization of the community structure in a large-scale production network in Japan”, PhysicaA, 513, pp. 210-221, 2019.
23H. 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)
24H. 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)
25A. 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)
26H. Krichene, A. Chakraborty, H. Inoue, and Y. Fujiwara: “Business cycles’ correlation and systemic risk of the Japanese supplier-customer network”, PLoS ONE12(10): e0186467. (2017) (Open access)
27H. Inoue: “Controllability Analyses of Nation-wide Firm Networks”, Evolutionary and Institutional Economics Review, 14(2), pp. 335-349 (2017).(arXiv)
28 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)
29H. 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 .
30 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)
31 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)
32H. Inoue: “Evidence for a Creative Dilemma Posed by Repeated Collaborations”, PLoS ONE 10(9): e0137418. doi:10.1371/journal.pone.0137418, 2015. (Open access)
33H. 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)
34H. Inoue: “A two-layer team-assembly model for invention networks”, Physica A, Vol. 413, pp.181-188, 2014. (Open access)
35Hiroyasu 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.
36H. Inoue, W. Souma, and S. Tamada: “Analysis of cooperative research and development networks on Japanese patents”, Informetrics, Vol.4, pp.89-96, 2010/01.
37H. 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)
38H. Inoue, W. Souma, and S. Tamada: “Spatial Characteristics of Joint Application Networks in Japanese Patents”, Physica A, Volume 383, pp. 152-157, 2007/9.
39H. 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)
40H. 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)
41H. 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.
42K. 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.
*****Peer reviewed papers*****
1INOUE Hiroyasu and TODO Yasuyuki, Propagation of Overseas Economic Shocks through Global Supply Chains: Firm-level evidence, RIETI Discussion Paper Series, 22-E-062, 2022.
2INOUE Hiroyasu, OKUMURA Yoshihiro, TORAYASHIKI Tetsuya and TODO Yasuyuki, Establishment-level Simulation of Supply Chain Disruption: The case of the Great East Japan Earthquake, RIETI Discussion Paper Series, 22-E-059, 2022.
3Hiroyasu Inoue and Yasuyuki Todo, “Has COVID-19 Permanently Changed Online Consumption Behavior?”, RIETI DP 22-E-018, 2022. SSRN
4Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Lockdowns need geographic coordination because of propagation of economic effects through supply chains”, Social Science Research Network, 2021., (RIETI Discussion Paper) Featured on VOXEU
5Yoshi Fujiwara, Hiroyasu Inoue, Takayuki Yamaguchi, Hideaki Aoyama, Takuma Tanaka, Kentaro Kikuchi, “Money flow network among firms’ accounts in a regional bank of Japan”, RIETI Discussion Paper Series 21-E005, 2020.
6H. Inoue, and Y. Todo: “Firm-Level Simulation of Supply Chain Disruption Triggered by Actual and Predicted Earthquakes”, RIETI Discussion Paper Series, 18-E-013, 2018.
7H. Krichene, A. Yoshiyuki, A. Chakraborty, Y. Fujiwara, and H. Inoue: “How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model”, RIETI Discussion Paper Series, 18-E-011, 2018.
8A. Chakraborty, Y. Kichikawa, T. Iino, H. Iyetomi, H. Inoue, Y. Fujiwara, and H. Aoyama: “Hierarchical Communities in Walnut Structure of Japanese Production Network”, RIETI Discussion Paper Series, 18-E-026, 2018.
9T. Iino, H. Inoue, Y. Saito, and Y. Todo: “Effect of inter-firm network in knowledge creation – International analyases on worldwide data”, RIETI Discussion Paper Series, 17-J-034, 2017.
10H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, RIETI Discussion Paper Series, 17-E-044, 2017 Featured on VOXEU .
11H. Inoue: “Analyses of Aggregate Fluctuation of Firm Network Based on Self-Organized Criticality Model and Control Theory”, RIETI Discussion Paper Series, 16-E-044, 2016.
12Y. Todo, P. Matous, and H. Inoue: “Empirical Analysis on Determinants and Impacts of the Formation of Firm Networks”, RIETI Discussion Paper Series, 15-E-034, 2015.
13H. Inoue, K. Nakajima, and Y. U. Saito: “Localization of Knowledge-Creating Establishments”, RIETI Discussion Paper Series, 14-E-053, 2014. Featured on VOXEU
14H. Inoue, K. Nakajima, and Y. U. Saito: “Localization of Collaborations in Knowledge Creation”, RIETI Discussion Paper Series, 13-E-70, 2013. Featured on VOXEU
15H. Inoue, K. Takadama, and K. Shimohara: “Exploring XCS in Multiagent Environments”, Proceedings of the 2005 workshops on Genetic and evolutionary computation, pp. 109-111, 2005/6.
16H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Exploring Conditions of Heterogeneous Knowledge for Effective Multi-agent Systems”, Proceedings of Computational Intelligence, Robotics and Autonomous Systems (CIRAS2003), 2003/12.
17H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Acquisition of a Specialty in Multi-Agent Learning Systems – Approach from Learning Classifier System with Index -”, Proceedings of Computational Intelligence in Robotics and Automation for the new Millennium (CIRA’2003), pp. 1090-1095, 2003/7.
(There are 9 works in Japanese (except above.))
*****Book*****
1Hiroyasu Inoue, “Co-patenting: An Analytic Tool for Cooperative Research and Development”, Springer Japan, 2020.
2Albert-Laszlo Barabasi, “Network Science”, Translated by Yuichi Ikeda, Hiroyasu Inoue, and Toshihiro Tanizawa, Kyoritsu Syuppan, 2019.
*****Chapters in books*****
1H. Inoue, Reactions of economy toward various disasters estimated by firm-level simulation, In “Complexity, Heterogeneity and the Methods of Statistical Physics in Economics – In memory of Masanao Aoki -” , H. Aoyama, Y. Aruka, H. Yoshikawa Ed.,pp. 253-290, Springer, 2020.
2H. Inoue, Simulations of exogenous-shock propagations on real economic networks, (III) Coping with Crises in Complex Socio-Economic Systems Workshop, Y. Aruka Ed., pp. 319-346, Chuo University Press, 2020. (In Japanese)
3H. Inoue and E. Yamaguchi, The SBIR Program in Japan and the Comparison with the U.S., Science of Innovation Policy, E. Yamaguchi Ed., Univarsity of Tokyo Press, 2015/03.
(There are 2 works in Japanese (except above.))
*****Working papers*****
1Keisuke 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”, Proceedings of Artificial Life and Robotics 2023.
2Tatsunori Seki, Keisuke Chujo, Yu Kimura, Toshiki Murata, Tomoaki Sakurai, Satoshi Miyata, Hiroyasu Inoue, and Nobuyasu Ito, “Prediction of COVID-19 Using SIR and AR models: Tokyo and nation-wide cases”, Proceedings of Artificial Life and Robotics 2023.
3Yu Kimura, Tatsunori Seki, Satoshi Miyata, Yusuke Arai, Toshiki Murata, Hiroyasu Inoue, and Nobuyasu Ito, “Hot-spot analysis of Covid-19 infection using mobile-phone location data”, Proceedings of AROB2022,pp.1667-1670, 2022.
4Yasuyuki Todo, Hiroyasu Inoue: “Firm development and enforcement in post-corona age”, 21st Century Hyogo, 2020.
5Hiroyasu Inoue: “How Can We Automatically Recognize Collective Behaviors from Tracking Data of Football?: An Approach from Encoding Behaviors”, The Japan Society for Artificial Intelligence, 34(4), 2019/7.
6Hiroyasu Inoue: “Analyses of procurement networks in automobile and software industries”, Proceedings of Complex’09, 2009/11.
7H. Inoue: “Verifications of Growing Models for Cooperative R&D Network”, Proceedings of Econophysics Colloquium 2008, 2008/8.
8Y. Tian, N. Sannomiya, H. Inoue, and K. Shimohara: “Cooperation of Multi-agent System and Its Composition”, Proceedings of the 16th IFAC World Congress, 2006/9.
9H. Inoue, L. Suematsu, K. Takadama, K. Shimohara, and O. Katai: “Multi-agent Learning Mechanism Based on Diversity of Rules: from the Viewpoint of LCS”, The 10th International Symposium on Artificial Life and Robotics (AROB’2005), 2005/2.
10H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “An Index of Degrees of Confusion between Knowledge Acquired in a Learning Classifier System”, Proceedings of the 8th International Symposium on Artificial Life and Robotics (AROB’2003), pp. 181-184, 2003/1.
11H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Enhanced Classifier System enabling Adaptation to Mixed Known Environments”, Proceedings of Human Computer 2002, pp. 296-301, 2002/9.
12K. Takadama, H. Inoue, and K. Shimohara: “How to Autonomously Decide Boundary Between self and Others?”, The Proceedings of The Third Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’2000), pp. 2903-2908, 2000/10.
13H. Inoue, K. Takadama, M. Okada, K. Shimohara, and O. Katai: “Agent Architecture Based on Self-Reflection Learning Classifier System”, Proceedings of the 5th International Symposium on Artificial Life and Robotics (AROB’2000), pp. 454-457, 2000/1.
(There are 26 works in Japanese (except above.))
*****Awards*****
1Prize for Best Research Activity, Hyogo University, 2022.
2Best Paper Award, AROB-ISBC-SWARM, 2022.
3NISTEP Researchers 2021, National Institute of Science and Technology Policy, 2021.
4Special Prize for Research Activity, Hyogo University, 2020.
5Japan Association for Evolutionary Economics Prize, 2017.
(There are 5 works in Japanese (except above.))
*****Grants*****
1Grants-in-Aid for Scientific Research (B), Member, Research on Relationships between Economic Networks and National Security, 2023-2026.
2Grant-in-Aid for Challenging Exploratory Research, Representative, Studies to Suppress Economic Losses of Pandemic and Disasters by Supply-Chain Reorganizations, 2022-2024.
3PRESTO Sakigake, Japan Science and Technology Agency, Representative, Simulation of the economy based on large-scale micro data, 2021-2024.
4Grants-in-Aid for Scientific Research (B), Representative, Estimation of economic effect on firms and economy triggerd by disaster and anti-infection measure through large-scale supply chains, 2021-2024.
5Hyogo Science and Technology Association, Representative, Simulation of Anti Infective Disease by Exhaustive Firm Transaction Networks, 2021-2023.
6Hyogo Earthquake Memorial 21st Century Research Institute, Representative, A study of economic effect led by disruption of global supply chains, 2020.
7Grants-in-Aid for Scientific Research (B), Member, Study on External Shocks and Response Dynamics on Large Economic Networks with Applications, 2020-2023.
8Japan Society for the Promotion of Science, Area Cultivation, Representative, Large-scale simulations on exhaustive firm-trade networks to examine counter-disaster policies, 2020-2022.
9Hyogo Earthquake Memorial 21st Century Research Institute, Representative, A study of economic effect led by disruption of global supply chains, 2020.
10Grants-in-Aid for Scientific Research (A), Member, Economic analysis on patents and innovations based on long-term micro-data, 2019-2023.
11Grant-in-Aid for Challenging Exploratory Research, Member, Understanding the Network Structure and Dynamics of Cryptoasset’s Transactions at a Global Scale
12Grants-in-Aid for Scientific Research (A), Member, Effect of network diversity to economy and psychology: Joint research of econometrics, behavioral economics, and science, 2018-2022.
13Grants-in-Aid for Scientific Research (C), Representative, Disaster simulation by using massive supply-chain data, 2018-2020.
14Grants-in-Aid for Scientific Research (B), Member, Spatial economics based on innovation data: Long term and political evaluation, 2017-2020.
15Grant-in-Aid for Challenging Exploratory Research, Member, Empirical analyses for transfer on skill and productivity based on firm networks, 2017-2020.
16Grants-in-Aid for Scientific Research (B), Member, Modelling fragility of economic system bese on large network simulations, 2017-2019.
17Grants-in-Aid for Scientific Research (C), Representative, Risk evaluation of disasters and policies based on the entire networks of firms, 2015-2018.
18Grants-in-Aid for Scientific Research (C), Member, Evidence baed analyses of innovation strategies for start-up firms, 2015-2018.
19Grants-in-Aid for Scientific Research (C), Representative, Revealing Innovation Systems that Comprise Inventors, Organizations, and Regions, 2012-2014.
20Grants-in-Aid for Scientific Research (B), Representative, Analyses of industrial composite networks and its mathematical models, 2010-2011.
21Grants-in-Aid for Scientific Research (B), Representative, Influence of scientific findings on innovation in multi-layered networks, 2008-2009.
22Grants-in-Aid for Scientific Research (B), Member, A new economic measure based on multi-layered network, 2008-2010.
23Grants-in-Aid for Scientific Research (C), Member, Development and application of multi-layered or multi-mode social network analysis, 2008-2010.
(There are 11 works in Japanese (except above.))
*****Committee service*****
1Committee member, Special Interest Group on Data Oriented Constructive Mining and Simulation (SIG-DOCMAS), Japan Society of Artificial Intelligence, 2023.
2Program committee, Economic & Financial Networks, NetSci-X Special Workshop, Tokyo, 2020/1/23.
3Program committee, Econophysics, Kyoto University, 2017/12/7-8.
4Program committee, NetSci-X 2017, Tel-Aviv, 2017/1/15-18.
5Program committee, Econophysics 2015, Kyoto, 2015/12/3.
*****Invited talks*****
1H.Inoue, “Firm-level Propagation of the Effect of Disruption of International Trade Through Domestic Supply Chains”, 29th International Input-Output Association Conference, Alghero, Italy, 2023/06/25-30.
2H.Inoue, “Nation-wide supply chain data and simulations”, FinEcoNet 8, Vienna, Austria, 2023/07/10.
3H. Inoue, Y. Murase, and Y. Todo, “Supply Chains and the Economic Effects of Lockdowns”, Fondation France Japon – RIETI – Banque de France Joint Workshop, How COVID-19 Impacts Supply Chains and the Economy: Evidence from Europe and Asia, Online, Fondation France Japon (FFJ) / Research Institute of Economy, Trade and Industry (RIETI) / Banque de France (BdF), 2021/7/12.
4H,Inoue and Y.Todo, “The propagation of economic impacts through supply chains: The case of a mega-city lockdown to contain the spread of Covid-19”, OECD NAEC Lab workshop, OECD, Paris, 2021/2/23.
5H,Inoue, “The economic effect of the restriction by Japanese government under COVID-19”, The 3rd R-CCS International Symposium, RIKEN, 2021/1/15.
6H,Inoue, “The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19”, Mason Online Pandemic MODeling Forum, 2020/6/5.
7H.Inoue and Y.Todo, “The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19”, Modelling the Spread and Impact of the Coronavirus, the Graz Schumpeter Centre of the University of Graz, 2020/12/9.
8H.Inoue, “The possibility of economic simulation using large scale data and super comuputer”, Innovation design on knowledge science, Japan Advanced Institute of Science and Technology, 2020/11/12.
9H.Inoue, “The economic impact of supply-chain networks against the spread of COVID-19”, Bigdata and COVID-19, The Canon Institute for Global Studies, 2020/11/12.
10H.Inoue, “Estimation of economic impact through supply chains: A case of COVID-19”, The institution of professional engineers, Japan, Hyogo branch, Kobe, 2020/11/25.
11H.Inoue, “Nation-Wide Supply Chain Data and Simulation”,Department of Management, Technology and Economics, ETH Zurich, 2019/12/6.
12H.Inoue, Complexity Economics Webinar, Young Scholars Initiative, Institute for New Economic Thinking, 2019/5/21.
13H. Inoue, “The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks”, 2016 Joint Symposium of Graduate School of Applied Informatics & Graduate School of Simulation Studies, University of Hyogo, 2016/9/15.
14H. Inoue, “The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks”, Policy Modeling Workshop 2016, Kagawa University 2016/9/3.
(There are 20 works in Japanese (except above.))
*****Conferences*****
1H.Inoue and Y.Todo, “Firm-level Propagation of the Effect of Disruption of International Trade Through Domestic Supply Chains”, 2023 Annual Modeling and Simulation Conference (ANNSIM), Hamilton, Canada, 2023/05/23-26.
2H.Inoue, “Firm-level Propagation of the Effect of Disruption of International Trade Through Domestic Supply Chains”, 34th IUPAP Conference on Computational Physics (CCP2023), Kobe, Japan, 2023/08/04-08.
3Keisuke 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 2023, Oita, Japan, 2023/01/25-27.
4Tatsunori Seki, Keisuke Chujo, Yu Kimura, Toshiki Murata, Tomoaki Sakurai, Satoshi Miyata, Hiroyasu Inoue, and Nobuyasu Ito, “Prediction of COVID-19 Using SIR and AR models: Tokyo and nation-wide cases”, Artificial Life and Robotics 2023, Oita, Japan, 2023/01/25-27.
5Yasuyuki Todo and Hiroyasu Inoue, “Propagation of Overseas Economic Shocks through Global Supply Chains: Firm-level Evidence”, SOCIOECONOMIC NETWORKS AND NETWORK SCIENCE WORKSHOP 2022, Waseda University, Japan (Online), 2022/08/01-02.
6Yu Kimura, Tatsunori Seki, Satoshi Miyata, Yusuke Arai, Toshiki Murata, Hiroyasu Inoue, and Nobuyasu Ito, “Factor analysis of the Covid-19 spread”, The 35th Annual Center for Simulational Physics Workshop, University of Georgia, US (Online), 2022/02/21-24.
7Hiroyasu Inoue, “Toward a simulation of business-establishment supply chains”, Artificial Life and Robotics, Oita, Japan (Online), 2022/01/25-27.
8Yu Kimura, Tatsunori Seki, Satoshi Miyata, Yusuke Arai, Toshiki Murata, Hiroyasu Inoue, and Nobuyasu Ito, “Hot-spot analysis of Covid-19 infection using mobile-phone location data”, Artificial Life and Robotics, Oita, Japan (Online), 2022/01/25-27.
9Philipp Mundt, Uwe Cantner, Hiroyasu Inoue, Ivan Savin, Simone Vannuccini, Market Selection in Global Value Chains, Concordi2021, online, 2021/11/22.
10Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo, “Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?”, FENS2021, Online, 2021/7/2.
11Yoshi Fujiwara, Hiroyasu Inoue, Takayuki Yamaguchi, Hideaki Aoyama, Takuma Tanaka, “Money flow network among firms’ accounts in a regional bank of Japan”, INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN COMPLEX SOCIO-ECONOMIC SYSTEMS AND PUBLIC POLICY, India (Online), 2021/01/20-22.
12H. Inoue, Y. Murase, and Y. Todo, “The impact of supply-chain networks on interactions between the anti-COVID-19 lockdowns in different regions”, AROB 2021, Oita (Online), 2021/1/21-23.
13H. Inoue, Y. Murase, and Y. Todo, “The economic effect of the restriction by Japanese government under COVID-19”, NetSci 2020, Rome (Online), 2020/9/17-25.
14Hiroyasu Inoue, Disaster and Countermeasure: Simulation on Nation-Wide Supply Chain Data, BEST workshop 2020, 2020/1/17.
15Uwe Cantner, Hiroyasu Inoue, Philipp Mundt, Ivan Savin, Simone Vannuccini, “Testing for replicator dynamics in value chains”, The European Meeting on Applied Evolutionary Economics (EMAEE) 2019, 2019/6/3-6.
16H. Inoue: “Nation-wide Supply Chain and Disaster Simulation”, Perspectives on Complex Systems 2018, Berlin, 2018/12/17-19.
17Yuichi Kichikawa, Hiroshi Iyetomi, Takashi Iino, Hiroyasu Inoue, “Community Structure Based on Circular Flow in a Large-Scale Transaction Network”, Complex Networks 2018, Cambridge, 2018/12/11-13.
18Abhijit Chakraborty, Yuichi Kichikawa, Takashi Iino, Hiroshi Iyetomi, Hiroyasu Inoue, Yoshi Fujiwara and Hideaki Aoyama, “Hierarchical Communities in Walnut Structure of the Japanese Production Network”, Conference on Complex Systems 2018, Thessaloniki, 2018/9/23-28.
19Hazem Krichene, Yoshi Fujiwara, Abhijit Chakraborty, Yoshiyuki Arata, Hiroyasu Inoue and Masaaki Terai, “The emergence of properties of the Japanese production network: How do listed firms choose their partners?”, Conference on Complex Systems 2018, Thessaloniki, 2018/9/23-28.
20H. Inoue: “Nation-wide Supply Chain and Disaster Simulation”, German Network for New Economic Dynamics 2018, Kiel, 2018/10/9-11.
21H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, CompleNet2018, 2018/3/5-8.
22H. Inoue and Y. Todo: “Firm-level Simulation of Supply Chain Disruption Triggered by Actual and Predicted Earthquakes”, The 23nd Workshop on the Economic Science with Heterogeneous Interacting Agents, 2018/6/30-7/2.
23H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, The 2nd Australian Social Network Analysis Conference, 2017/11/28-29.
24H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, The 22nd Workshop on the Economic Science with Heterogeneous Interacting Agents, 2017/6/12-14.
25H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, The 5th International Conference on Big data in Economics, Science and Technology, 2017/7/19-21.
26H. Inoue and Y. Todo: “Propagation of Negative Shocks through Firm Networks: Evidence from Simulation on Comprehensive Supply-Chain Data”, The 21th annual conference of Japan Association for Evolutionary Economics, Kyoto, 2017/3/25-26.
27H. Iyetomi, T. Iino, Y. Kichikawa, and H. Inoue: “Interfirm Transaction Relationship as a Directed Network”, The 21th annual conference of Japan Association for Evolutionary Economics, Kyoto, 2017/3/25-26.
28A. Chakraborty, H. Krichene, H. Inoue, and Y. Fujiwara: “Characterization of the community structure in a large scale production network in Japan”, The 21th annual conference of Japan Association for Evolutionary Economics, Kyoto, 2017/3/25-26.
29H. Krichene, A. Chakraborty, H. Inoue, and Y. Fujiwara: “Business cycles’ correlation and systemic risk of the Japanese supplier-customer network”, The 21th annual conference of Japan Association for Evolutionary Economics, Kyoto, 2017/3/25-26.
30H. Inoue, “Indirect Effect of Firm’s Shutdown:Simulation on Exhaustive Supply-Chain Data”, NetSci-X 2017, Tel-Aviv, 2017/1/15-18.
31Y. Todo, P. Matous, H. Inoue, “The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks”, Big Data in Economics, Science and Technology 2016, Bali, 2016/6/20-22.
32 Y. Todo, P. Matous, and H. Inoue: “Empirical Analysis on Determinants and Impacts of the Formation of Firm Networks”, Sunbelt XXXV, International Sunbelt Social Network Conference, Brighton, UK, 2015/06/28.
33Y. Todo, P. Matous, and H. Inoue: “Empirical Analysis on Determinants and Impacts of the Formation of Firm Networks”, Western Economic Association International Annual Meetings, Honolulu, United States, 2015/07/01.
34Y. Todo, P. Matous, and H. Inoue: “Empirical Analysis on Determinants and Impacts of the Formation of Firm Networks”, Eleventh World Congress of the Econometric Society, Montreal, Canada, 2015/08/21.
35H. Inoue: “Effect of economic policy through network of firms and reaction to disasters”, Netsci2015, Zaragoza, Spain, 2015/06/03.
36 K. Nakjima, Y. Saito, and H. Inoue: Localization of Collaborations in Knowledge Creation, Economics Seminar, Temple University, 2014/11/11.
37 K. Nakjima, Y. Saito, and H. Inoue: Localization of Collaborations in Knowledge Creation, 14th Annual Symposium on Japanese-American Frontiers of Science, Hotel New Otani, 2014/12/5.
38 K. Nakjima, Y. Saito, and H. Inoue: Localization of Knowledge-Creating Establishments, 61th Annual North American Meetings of the Regional Science Association International, Hyatt Regency Bethesda, 2014/11/14.
39H. Inoue, “Applying controllability theory to Japanese firms”, Tokyo Network Workshop, Tokyo University. 2014/11/09.
40H. Inoue, Y. Liu. “Revealing the intricate effect of collaboration on innovation”, ECCS2014, Lucca, Italy. 2014/09/24.
41H. Inoue, “Controlling the National Scale Supply Chain Netowrks”, Netsci2014, Berkeley, CA, 2014/06/02.
42H. Inoue, Y. Liu, “Revealing the intricate effect of collaboration on innovation”, FNET2013, Kyoto University, 2013/07/17.
43Hiroyasu Inoue, Yang-Yu Liu, Marton Posfai, and Albert Laszlo Barabasi: “Modeling patent network with a coupled two-layer team-assembly model”, Netsci2012, Northwestern University, 2012/06/21.
44Hiroyasu Inoue, Kentaro Nakajima, and Yukiko Saito: “Geographical Concentration of Inter-Organizational Collaborations”, 7th Meeting of the Urban Economics Association, Ottawa, 2012/11/07-10.
45Yukiko Saito, Kentaro Nakajima, and Hiroyasu Inoue: “Geographical Concentration of Inter-organizational Collaborations”, HIT-TDB-RIETI International Workshop on the Economics of Interfirm Networks, RIETI, 2012/11/29
46Kentaro Nakajima, Hiroyasu Inoue, and Yukiko Saito: “Geographical Concentration of Inter-Organizational Collaborations”, International Workshop on Public Policy in Creative Economy, Doshisha University, 2012/11/16
47Yukiko Saito, Hiroyasu Inoue, and Kentaro Nakajima: “Geographical Proximity of Inter-Organizational Collaboration”, Asia Pacific Innovation Confarence, Seoul National University, 2012/10/14.
48Hiroyasu Inoue: “Analysis of a Multi-layered Network Based on Transaction and Joint-patent Application”, Sunbelt XXXI, 2011/02.
49H. Inoue: “An Analysis of Transaction and Joint-patent Application Networks”, Econophysics Colloquium 2010, 2010/11.
50H. Inoue: “Analyses of Industrial Affinity in Networks of Patents and Transaction”, Sunbelt XXX, 2010/7.
51Hiroyasu Inoue: “Analyses of procurement networks in automobile and software industries”, Complex’09, 2009/11/7.
52H. Inoue: “Verifications of Growing Models for Cooperative R&D Network”, Econophysics Colloquium 2008, 2008/8.
53H. Inoue, W. Souma: “Investigation of Industrial Clusters of Japan Based on Network Measurements Constituted by Patents”, Econophysics Colloquium 2006 and Third Bonzenfreies Colloquium, 2006/11.
54Y. Tian, N. Sannomiya, H. Inoue, and K. Shimohara: “Cooperation of Multi-agent System and Its Composition”, The 16th IFAC World Congress, 2006/9.
55H. Inoue, K. Takadama, and K. Shimohara: “Exploring XCS in Multiagent Environments”, Genetic and Evolutionary Computation Conference (GECCO-2005), 2005/6.
56H. Inoue, L. Suematsu, K. Takadama, K. Shimohara, and O. Katai: “Multi-agent Learning Mechanism Based on Diversity of Rules: from the Viewpoint of LCS”, The 10th International Symposium on Artificial Life and Robotics (AROB’2005), 2005/11.
57H. Inoue, Y. Tian, K. Takadama, K. Shimohara, and O. Katai: “Effects of Heterogeneity in a Fish School Model on Avoiding Obstacles”, Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, 2004/9.
58H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Exploring Conditions of Heterogeneous Knowledge for Effective Multi-agent Systems”, Computational Intelligence, Robotics and Autonomous Systems (CIRAS2003), 2003/7.
59H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Acquisition of a Specialty in Multi-Agent Learning Systems – Approach from Learning Classifier System with Index -”, Computational Intelligence in Robotics and Automation for the new Millennium (CIRA’2003), 2003/7.
60H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “An Index of Degrees of Confusion between Knowledge Acquired in a Learning Classifier System”, The 8th International Symposium on Artificial Life and Robotics (AROB’2003), 2003/1.
61H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “Enhanced Classifier System enabling Adaptation to Mixed Known Environments”, Human Computer 2002, 2002/9.
62K. Takadama, H. Inoue, and K. Shimohara: “How to Autonomously Decide Boundary Between self and Others?”, The Third Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’2000), 2000/10.
63H. Inoue, K. Takadama, M. Okada, K. Shimohara, and O. Katai: “Agent Architecture Based on Self-Reflection Learning Classifier System”, The 5th International Symposium on Artificial Life and Robotics (AROB’2000), 2000/01.
64M. Shimamoto, H. Inoue, K. Shimohara and O. Katai: “Influence for Feeling of Agency by Mutual Coordination of Interaction Pattern”, International Workshop Series on Social Intelligence Design 2006/3.
65H. Inoue, K. Takadama, K. Shimohara, and O. Katai: “An adaptation to mixtures of known environments using an enhanced classifier system”, Prima Summer School 2002, poster session, 2002/8.
66Y. Tian, N. Sannomiya, H. Inoue, and K. Shimohara: “Cooperation of Multi-agent System and Its Composition”, the 16th World Congress of International Federation of Automatic Control, 2005/6.
(There are 58 works in Japanese (except above.))
*****Book reviews*****
(There are 1 works in Japanese (except above.))
*****Patents*****
(There are 1 works in Japanese (except above.))
*****Dissertations*****
1“Generalization of rule-based learning”, Kyoto University, 2006/3.