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Network Theory and Agent-Based Modeling in Economics and Finance

Overview of attention for book
Cover of 'Network Theory and Agent-Based Modeling in Economics and Finance'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 16: Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches
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Mentioned by

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1 X user

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Chapter title
Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches
Chapter number 16
Book title
Network Theory and Agent-Based Modeling in Economics and Finance
Published in
arXiv, October 2019
DOI 10.1007/978-981-13-8319-9_16
Book ISBNs
978-9-81-138318-2, 978-9-81-138319-9
Authors

V. Sasidevan, Nils Bertschinger, Sasidevan, V., Bertschinger, Nils

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Lecturer 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 60%
Computer Science 1 20%
Linguistics 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2019.
All research outputs
#20,585,941
of 23,170,347 outputs
Outputs from arXiv
#681,183
of 953,631 outputs
Outputs of similar age
#306,257
of 360,753 outputs
Outputs of similar age from arXiv
#20,593
of 29,709 outputs
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So far Altmetric has tracked 953,631 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29,709 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.