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1. Complex Systems and Society : Modeling and Simulation
by Nicola Bellomo, Giulia Ajmone Marsan, Andrea Tosin
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Mathematics ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-7242-1
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1. The Role of Individual Behaviors in Socio-Economic Sciences
2. Mathematical Tools for Modeling Social Complex Systems
3. Modeling Cooperation and Competition in Socio-Economic Systems
4. Welfare Policy: Applications and Simulations
5. Forward Look at Research Perspectives
References
1. The Role of Individual Behaviors in Socio-Economic Sciences
2. Mathematical Tools for Modeling Social Complex Systems
3. Modeling Cooperation and Competition in Socio-Economic Systems
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2. Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy
edited by Elena Angelis, Mark A. J. Chaplain, Nicola Bellomo
出版情報: Boston : Birkhäuser Boston, 2008
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4713-1
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3. Modeling Complex Living Systems
by Nicola Bellomo
出版情報: Boston, MA : Birkhäuser Boston, 2008
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4600-4
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4. Generalized Collocation Methods : Solutions to Nonlinear Problems
edited by Nicola Bellomo, Bertrand Lods, Roberto Revelli, Luca Ridolfi
出版情報: Boston, MA : Springer, 2008
シリーズ名: Modeling and Simulation In Science, Engineering and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4610-3
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5. Crowd Dynamics, Volume 3 : Modeling and Social Applications in the Time of COVID-19. 1st ed. 2021
edited by Nicola Bellomo, Livio Gibelli
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2021
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: https://doi.org/10.1007/978-3-030-91646-6
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N. Bellomo, L. Gibelli, Behavioral human crowds: Recent results and new research frontiers
F. Ceragioli, P. Frasca, B. Piccoli, F. Rossi, Generalized solutions to opinion dynamics models with discontinuities
Z. Sabeur, B. Arbab-Zavar, Crowd behaviour understanding using computer vision and statistical mechanics principles
L. Li, H. Liu, Y. Han, G. Zhang, D. Lu, Applications of crowd dynamic models: Feature analysis and process optimization
G. Albi, F. Ferrarese, C. Segala, Optimized leaders strategies for crowd evacuation in unknown environments with multiple exits
E. Ronchi, D. Nilsson, R. Lovreglio, M. Register, K. Marshall, The impact of physical distancing on the evacuation of crowds
D. Kim, A. Quaini, A kinetic theory approach to model crowd dynamics with disease contagion
M. Colangeli, A. Muntean, Towards a quantitative reduction of the SIR epidemiological model
G. Pescarmona, P. Terna, A. Acquadro, P. Pescarmona, G. Russo, E. Sulis, S. Terna, An agent-based model of COVID-19 Diffusion to plan and evaluate intervention policies
N. Bellomo, L. Gibelli, Behavioral human crowds: Recent results and new research frontiers
F. Ceragioli, P. Frasca, B. Piccoli, F. Rossi, Generalized solutions to opinion dynamics models with discontinuities
Z. Sabeur, B. Arbab-Zavar, Crowd behaviour understanding using computer vision and statistical mechanics principles
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6. Active Particles, Volume 3 : Advances in Theory, Models, and Applications. 1st ed. 2022
edited by Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2022
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: https://doi.org/10.1007/978-3-030-93302-9
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G. Ariel, A. Ayali, A. Be'er, D. Knebel, Variability and Heterogeneity in Natural Swarms: Experiments and Modeling
M. Bruna, M. Burger, J.-F. Pietschmann, M.-T. Wolfram, Active Crowds
V. Calvez, M. Demircigil, R. Sublet, Mathematical Modeling of Cell Collective Motion Triggered by Self-Generated Gradients
K. Craig, N. Garcia Trillos, D. Slepcev, Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker-Planck Interpolation
S. Jin, L. Li, Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings
C. Totzeck, Trends in Consensus-Based Optimization
G. Ariel, A. Ayali, A. Be'er, D. Knebel, Variability and Heterogeneity in Natural Swarms: Experiments and Modeling
M. Bruna, M. Burger, J.-F. Pietschmann, M.-T. Wolfram, Active Crowds
V. Calvez, M. Demircigil, R. Sublet, Mathematical Modeling of Cell Collective Motion Triggered by Self-Generated Gradients
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7. Predicting Pandemics in a Globally Connected World, Volume 1 : Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation. 1st ed. 2022
edited by Nicola Bellomo, Mark A. J. Chaplain
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2022
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: https://doi.org/10.1007/978-3-030-96562-4
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Modeling, Simulations and Social Impact of Evolutionary Virus Pandemics (Bellomo)
Understanding COVID-19 epidemics: a multi-scale modeling approach (Knopoff)
Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics (Pareschi)
The COVID-19 pandemic evolution in Hawai and New Jersey: a lesson on infection transmissibility and the role of human behavior (Piccoli)
A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process (Bertozzi)
Multiscale aspects of virus dynamics (Flandoli)
Productivity in times of Covid-19: an agent-based model approach (Fontanari)
Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community (Gao)
A 2D kinetic model for crowd dynamics with disease contagion (Quaini)
Multiscale derivation of a time-dependent SEIRD reaction-diffusion system for COVID-19 (Zagour)
Modeling, Simulations and Social Impact of Evolutionary Virus Pandemics (Bellomo)
Understanding COVID-19 epidemics: a multi-scale modeling approach (Knopoff)
Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics (Pareschi)