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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sato, Aki-Hiro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
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.