Misako Takayasu

Professor / Associate Dean

Tokyo Institute of Technology

Japan

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About

Misako Takayasu is a Professor and Associate Dean at the Tokyo Institute of Technology in Japan. Her research areas include network transport models, economic interactions, and the application of complex systems to understand commuter behavior and COVID-19 spread trends. Recent articles reflect her focus on enhancing gravity models, stochastic spatiotemporal growth, and the integration of trade network models.

Articles (20)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (3)

Marko Jusup

Assistant Professor

Tokyo Institute of Technology

JAPAN

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Hideki Takayasu

Specially-Appointed Professor

Tokyo Institute of Technology

JAPAN

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Kiyoshi Kanazawa

Associate professor

Kyoto University

JAPAN

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Misako Takayasu

Research Interests

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About

Articles (20)

Enhancing the gravity model for commuters: Time-and-spatial-structure-based improvements in Japan’s metropolitan areas

Chaotic solutions found in the gravity model of network transport

A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones

Stochastic spatiotemporal growth model reproducing the universal statistical laws of the gut microbiome

Renormalization of human mobility based on a revised electric circuit model and a new gravity relation

Spatial Constraints on Economic Interactions: A Complexity Approach to the Japanese Inter-Firm Trade Network

Integration of B-to-B trade network models of structural evolution and monetary flows reproducing all major empirical laws

Bifurcation and hysteresis in a nonlinear transport model on network motifs

Bifurcation and hysteresis in a nonlinear transport model on network motifs

Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms

Exact Solution to Two-Body Financial Dealer Model: Revisited from the Viewpoint of Kinetic Theory

Scale-dependent power law properties in hashtag usage time series of Weibo

Social physics

Analysis of Individual High-Frequency Traders’ Buy–Sell Order Strategy Based on Multivariate Hawkes Process

Data-driven stochastic simulation leading to the allometric scaling laws in complex systems

Direct modelling from GPS data reveals daily-activity-dependency of effective reproduction number in COVID-19 pandemic

Potential fields and fluctuation-dissipation relations derived from human flow in urban areas modeled by a network of electric circuits

Diffusion-Localization Transition Point of Gravity Type Transport Model on Regular Ring Lattices and Bethe Lattices

Classification of endogenous and exogenous bursts in collective emotions based on Weibo comments during COVID-19

Universal scaling of human flow remain unchanged during the COVID-19 pandemic

Collaborators (3)

Marko Jusup

Hideki Takayasu

Kiyoshi Kanazawa

Make your next move.

Misako Takayasu

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Enhancing the gravity model for commuters: Time-and-spatial-structure-based improvements in Japan’s metropolitan areas

Chaotic solutions found in the gravity model of network transport

A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones

Stochastic spatiotemporal growth model reproducing the universal statistical laws of the gut microbiome

Renormalization of human mobility based on a revised electric circuit model and a new gravity relation

Spatial Constraints on Economic Interactions: A Complexity Approach to the Japanese Inter-Firm Trade Network

Integration of B-to-B trade network models of structural evolution and monetary flows reproducing all major empirical laws

Bifurcation and hysteresis in a nonlinear transport model on network motifs

Bifurcation and hysteresis in a nonlinear transport model on network motifs

Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms

Exact Solution to Two-Body Financial Dealer Model: Revisited from the Viewpoint of Kinetic Theory

Scale-dependent power law properties in hashtag usage time series of Weibo

Social physics

Analysis of Individual High-Frequency Traders&rsquo; Buy&ndash;Sell Order Strategy Based on Multivariate Hawkes Process

Data-driven stochastic simulation leading to the allometric scaling laws in complex systems

Direct modelling from GPS data reveals daily-activity-dependency of effective reproduction number in COVID-19 pandemic

Potential fields and fluctuation-dissipation relations derived from human flow in urban areas modeled by a network of electric circuits

Diffusion-Localization Transition Point of Gravity Type Transport Model on Regular Ring Lattices and Bethe Lattices

Classification of endogenous and exogenous bursts in collective emotions based on Weibo comments during COVID-19

Universal scaling of human flow remain unchanged during the COVID-19 pandemic

Collaborators (3)

Marko Jusup

Hideki Takayasu

Kiyoshi Kanazawa

Make your next move.

Analysis of Individual High-Frequency Traders’ Buy–Sell Order Strategy Based on Multivariate Hawkes Process