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Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences

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Table of Contents

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    Book Overview
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    Chapter 1 Agent-based models of economic interactions
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    Chapter 2 On kinetic asset exchange models and beyond: microeconomic formulation,trade network, and all that
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    Chapter 3 Microscopic and kinetic models in financial markets
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    Chapter 4 A mathematical theory for wealth distribution
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    Chapter 5 Tolstoy’s dream and the quest for statistical equilibrium in economics and the social sciences
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    Chapter 6 New perspectives in the equilibrium statistical mechanics approach to social and economic sciences
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    Chapter 7 Kinetic modelling of complex socio-economic systems
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    Chapter 8 Mathematics and physics applications in sociodynamics simulation: the case of opinion formation and diffusion
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    Chapter 9 Global dynamics in adaptive models of collective choice with social influence
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    Chapter 10 Modelling opinion formation by means of kinetic equations
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    Chapter 11 On the modelling of vehicular traffic and crowds by kinetic theory of active particles
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    Chapter 12 Particle, kinetic, and hydrodynamic models of swarming
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    Chapter 13 Modeling self-organization in pedestrians and animal groups from macroscopic and microscopic viewpoints
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    Chapter 14 Statistical physics and modern human warfare
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    Chapter 15 Diffusive and nondiffusive population models
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Mentioned by

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1 Facebook page
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6 Wikipedia pages

Readers on

mendeley
6 Mendeley
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2 CiteULike
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Title
Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences
Published by
Birkhäuser Basel, January 2010
DOI 10.1007/978-0-8176-4946-3
ISBNs
978-0-8176-4946-3, 978-0-8176-4945-6
Authors

Naldi, Giovanni, Pareschi, Lorenzo, Toscani, Giuseppe

Editors

Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 33%
Researcher 1 17%
Professor 1 17%
Other 1 17%
Professor > Associate Professor 1 17%
Other 1 17%
Readers by discipline Count As %
Mathematics 4 67%
Biochemistry, Genetics and Molecular Biology 1 17%
Computer Science 1 17%
Economics, Econometrics and Finance 1 17%