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Applications of Data-Centric Science to Social Design

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Cover of 'Applications of Data-Centric Science to Social Design'

Table of Contents

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    Book Overview
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    Chapter 1 How to Design Society from a Data-Centric Point of View
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    Chapter 2 Practical Methods for Data Analysis
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    Chapter 3 An Approach to Product Design Involving Heterogeneous Stakeholders
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    Chapter 4 Designing Human-Machine Systems Focusing on Benefits of Inconvenience
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    Chapter 5 Information Cascade and Phase Transition
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    Chapter 6 Information Cascade, Kirman’s Ant Colony Model, and Kinetic Ising Model
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    Chapter 7 Information Cascade and Networks
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    Chapter 8 The Pitman-Yor Process and Choice Behavior
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    Chapter 9 Domino Effect in Information Cascade
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    Chapter 10 Information Cascade Experiment: General Knowledge Quiz
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    Chapter 11 Information Cascade Experiment: Urn Quiz
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    Chapter 12 Information Cascade and Bayes Formula
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    Chapter 13 How Betters Vote in Horse Race Betting Market
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    Chapter 14 Smart Micro-sensing: Reaching Sustainability in Agriculture via Distributed Sensors in the Food Chain
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    Chapter 15 High-Frequency Data Analysis of Foreign Exchange Markets
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    Chapter 16 On Measuring Extreme Synchrony with Network Entropy of Bipartite Graphs
Attention for Chapter 13: How Betters Vote in Horse Race Betting Market
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Chapter title
How Betters Vote in Horse Race Betting Market
Chapter number 13
Book title
Applications of Data-Centric Science to Social Design
DOI 10.1007/978-981-10-7194-2_13
Book ISBNs
978-9-81-107193-5, 978-9-81-107194-2
Authors

Mori, Shintaro, Hisakado, Masato

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