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Network Theory and Agent-Based Modeling in Economics and Finance

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Cover of 'Network Theory and Agent-Based Modeling in Economics and Finance'

Table of Contents

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    Book Overview
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    Chapter 1 Complexity and Emergence: A New Paradigm for Economic Modeling
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    Chapter 2 Information Selection Efficiency in Networks: A Neurocognitive-Founded Agent-Based Model
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    Chapter 3 Diversification by Self-reinforcement of Preferences and Change of Interaction Type
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    Chapter 4 Price Distortions and Public Information: Theory, Experiments, and Simulations
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    Chapter 5 Order Book on Financial Networks
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    Chapter 6 Detection of Factors Influencing Market Liquidity Using an Agent-Based Simulation
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    Chapter 7 Macroscopic Properties in Economic System and Their Relations
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    Chapter 8 How Much Income Inequality is Fair? Nash Bargaining Solution and Its Connection to Entropy
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    Chapter 9 A Limit Cycle View of Inequality
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    Chapter 10 Simulated Maximum Likelihood Estimation of Agent-Based Models in Economics and Finance
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    Chapter 11 Emergent Urban Morphologies in an Agent-Based Model of Housing
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    Chapter 12 The Transferability of Human Capital, the Brain Drain and the Brain Gain
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    Chapter 13 Is Life (or at Least Socioeconomic Aspects of It) Just Spin and Games?
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    Chapter 14 An Agent-Based Model of BCVA and Systemic Risk
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    Chapter 15 Additional Default Probability in Consideration of Firm’s Network
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    Chapter 16 Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches
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    Chapter 17 Spectral and Network Method in Financial Time Series Analysis: A Study on Stock and Currency Market
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    Chapter 18 Research on Loss Absorption of Financial Group
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    Chapter 19 Knowledge-Driven Approaches for Financial News Analytics
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    Chapter 20 Network-Based Policies Versus Tax Evasion
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    Chapter 21 Network Games: The Cooperative Approach
Overall attention for this book and its chapters
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Title
Network Theory and Agent-Based Modeling in Economics and Finance
Published by
Springer Singapore, January 2019
DOI 10.1007/978-981-13-8319-9
ISBNs
978-9-81-138318-2, 978-9-81-138319-9
Editors

Anindya S. Chakrabarti, Lukáš Pichl, Taisei Kaizoji

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X Demographics

The data shown below were collected from the profiles of 9 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Doctoral Student 5 11%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Lecturer 3 7%
Other 10 23%
Unknown 11 25%
Readers by discipline Count As %
Economics, Econometrics and Finance 12 27%
Social Sciences 5 11%
Engineering 3 7%
Computer Science 3 7%
Environmental Science 2 5%
Other 6 14%
Unknown 13 30%