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Applications of data-centric science...

Sato, Aki-Hiro.

Applications of data-centric science to social designqualitative and quantitative understanding of collective human behavior /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of data-centric science to social designedited by Aki-Hiro Sato.
Reminder of title:	qualitative and quantitative understanding of collective human behavior /
other author:	Sato, Aki-Hiro.
Published:	Singapore :Springer Singapore :2019.
Description:	x, 266 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Human behavior models.
Online resource:	https://doi.org/10.1007/978-981-10-7194-2
ISBN:	9789811071942$q(electronic bk.)

Applications of data-centric science to social designqualitative and quantitative understanding of collective human behavior /
Applications of data-centric science to social designqualitative and quantitative understanding of collective human behavior /[electronic resource] :edited by Aki-Hiro Sato. - Singapore :Springer Singapore :2019. - x, 266 p. :ill., digital ;24 cm. - Agent-based social systems,v.141861-0803 ;. - Agent-based social systems ;v.13..

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.

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, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects--human behavior, data-centric science, and social design--independently and with regard to the relationships among them.

ISBN: 9789811071942$q(electronic bk.)

Standard No.: 10.1007/978-981-10-7194-2doiSubjects--Topical Terms:

719059
Human behavior models.

LC Class. No.: BF39.3 / .A675 2019

Dewey Class. No.: 658.4038

Applications of data-centric science to social designqualitative and quantitative understanding of collective human behavior /
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520 $a 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, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects--human behavior, data-centric science, and social design--independently and with regard to the relationships among them.
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