Applications of Data-Centric Science to Social Design Qualitative and Quantitative Understanding of Collective Human Behavior /

The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundame...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sato, Aki-Hiro (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Agent-Based Social Systems, 14
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Part A: Methods for Data Analysis and Design
  • Chapter 1: How we design our society from data-centric point of view
  • Chapter 2: Practical methods of data analysis
  • Chapter 3: How to design data products with heterogeneous stakeholders
  • Chapter 4: Designing Human-Machine Systems Focusing on Benefits of Inconvenience
  • Part B: Mathematical Foundation of Collective Human Behavior
  • Chapter 5: A simple model for information cascade and Two kinds of phase transitions
  • Chapter 6: Information cascade model on networks I
  • Chapter 7: Information cascade on networks II
  • Chapter 8: Correlation function for generalized Polya urns: Finite-size scaling analysis
  • Chapter 9: Pitman distribution and Big data analysis of Japanese election
  • Chapter 10: Exact Scale Invariance in Mixing of Binary Candidates: Big data analysis
  • Chapter 11: Phase transition in a voting experiment of two-choice quiz
  • Chapter 12: Phase transition in generalized Polya urn in Information cascade experiment.