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Jan Tinbergen's legacy for economic networks: from the gravity model to quantum statistics

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Table of Contents

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    Book Overview
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    Chapter 1 Agent-Based Modeling of Zapping Behavior of Viewers, Television Commercial Allocation, and Advertisement Markets
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    Chapter 2 Agent-Based Modeling of Housing Asset Bubble: A Simple Utility Function Based Investigation
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    Chapter 3 Urn Model-Based Adaptive Multi-arm Clinical Trials: A Stochastic Approximation Approach
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    Chapter 4 Logistic Modeling of a Religious Sect Cult and Financial Features
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    Chapter 5 Characterizing Financial Crisis by Means of the Three States Random Field Ising Model
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    Chapter 6 Themes and Applications of Kinetic Exchange Models: Redux
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    Chapter 7 Kinetic exchange opinion model: solution in the single parameter map limit
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    Chapter 8 An Overview of the New Frontiers of Economic Complexity
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    Chapter 9 Jan Tinbergen’s Legacy for Economic Networks: From the Gravity Model to Quantum Statistics
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    Chapter 10 A Macroscopic Order of Consumer Demand Due to Heterogenous Consumer Behaviors on Japanese Household Demand Tested by the Random Matrix Theory
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    Chapter 11 Uncovering the Network Structure of the World Currency Market: Cross-Correlations in the Fluctuations of Daily Exchange Rates
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    Chapter 12 Systemic Risk in Japanese Credit Network
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    Chapter 13 Pricing of Goods with Bandwagon Properties: The Curse of Coordination
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    Chapter 14 Evolution of Econophysics
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    Chapter 15 Econophysics and Sociophysics: Problems and Prospects
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    Chapter 16 A Discussion on Econophysics
Attention for Chapter 8: An Overview of the New Frontiers of Economic Complexity
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Chapter title
An Overview of the New Frontiers of Economic Complexity
Chapter number 8
Book title
Econophysics of Agent-Based Models
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-00023-7_8
Book ISBNs
978-3-31-900022-0, 978-3-31-900023-7

Matthieu Cristelli, Andrea Tacchella, Luciano Pietronero, Cristelli, Matthieu, Tacchella, Andrea, Pietronero, Luciano

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The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Professor 1 11%
Student > Master 1 11%
Unknown 2 22%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 44%
Computer Science 1 11%
Physics and Astronomy 1 11%
Unknown 3 33%