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Econophysics of Systemic Risk and Network Dynamics

Overview of attention for book
Cover of 'Econophysics of Systemic Risk and Network Dynamics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Diffusion of Defaults Among Financial Institutions
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    Chapter 2 Systemic Risk and Complex Systems: A Graph-Theory Analysis
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    Chapter 3 Omori Law After Exogenous Shocks on Supplier-Customer Network
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    Chapter 4 Aftershock Prediction for High-Frequency Financial Markets’ Dynamics
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    Chapter 5 How Unstable Are Complex Financial Systems? Analyzing an Inter-bank Network of Credit Relations
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    Chapter 6 Study of statistical correlations in intraday and daily financial return time series
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    Chapter 7 A Robust Measure of Investor Contrarian Behaviour
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    Chapter 8 Evolution of Zipf's Law for Indian Urban Agglomerations vis-à-vis Chinese Urban Agglomerations
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    Chapter 9 Reaction to Extreme Events in a Minimal Agent Based Model
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    Chapter 10 Predatory trading and risk minimisation: how to (b)eat the competition
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    Chapter 11 Statistical Mechanics of Labor Markets
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    Chapter 12 Kolkata Paise Restaurant Problem: An Introduction
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    Chapter 13 Kolkata Paise Restaurant Problem and the Cyclically Fair Norm
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    Chapter 14 An Introduction to Multi-player, Multi-choice Quantum Games: Quantum Minority Games & Kolkata Restaurant Problems
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    Chapter 15 Cluster Analysis and Gaussian Mixture Estimation of Correlated Time-Series by Means of Multi-dimensional Scaling
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    Chapter 16 Analyzing Crisis in Global Financial Indices
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    Chapter 17 Study of Systemic Risk Involved in Mutual Funds
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    Chapter 18 Characterizing Price Index Behavior Through Fluctuation Dynamics
Attention for Chapter 8: Evolution of Zipf's Law for Indian Urban Agglomerations vis-à-vis Chinese Urban Agglomerations
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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2 X users

Citations

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13 Dimensions

Readers on

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6 Mendeley
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Chapter title
Evolution of Zipf's Law for Indian Urban Agglomerations vis-à-vis Chinese Urban Agglomerations
Chapter number 8
Book title
Econophysics of Systemic Risk and Network Dynamics
Published in
arXiv, February 2012
DOI 10.1007/978-88-470-2553-0_8
Book ISBNs
978-8-84-702552-3, 978-8-84-702553-0
Authors

Kausik Gangopadhyay, Banasri Basu, Gangopadhyay, Kausik, Basu, Banasri

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 2 33%
Unknown 2 33%
Readers by discipline Count As %
Philosophy 1 17%
Computer Science 1 17%
Earth and Planetary Sciences 1 17%
Unknown 3 50%
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 15 February 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from arXiv
#369,979
of 928,104 outputs
Outputs of similar age
#165,703
of 250,850 outputs
Outputs of similar age from arXiv
#1,033
of 3,026 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 928,104 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,026 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.