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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Agent-Based Social Systems,
14 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.