1.

Record Nr.

UNINA9910337817803321

Titolo

Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior / / edited by Aki-Hiro Sato

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019

ISBN

981-10-7194-2

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (264 pages)

Collana

Agent-Based Social Systems, , 1861-0803 ; ; 14

Disciplina

004

Soggetti

Knowledge management

Management

Industrial management

Management information systems

Statistics

Sociophysics

Econophysics

Knowledge Management

Innovation/Technology Management

Business Information Systems

Statistics for Social Sciences, Humanities, Law

Data-driven Science, Modeling and Theory Building

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.