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000898788 019__ $$a1110387097$$a1110741329$$a1111682994$$a1112118245$$a1112472014$$a1114196885
000898788 020__ $$a9789811071942$$q(electronic book)
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000898788 0248_ $$a10.1007/978-981-10-7
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000898788 08204 $$a658.4038
000898788 24500 $$aApplications of Data-Centric Science to Social Design :$$bQualitative and Quantitative Understanding of Collective Human Behavior /$$cAki-Hiro Sato, editor.
000898788 260__ $$aSingapore :$$bSpringer,$$c2019.
000898788 300__ $$a1 online resource (264 pages)
000898788 336__ $$atext$$btxt$$2rdacontent
000898788 337__ $$acomputer$$bc$$2rdamedia
000898788 338__ $$aonline resource$$bcr$$2rdacarrier
000898788 4901_ $$aAgent-Based Social Systems Ser. ;$$vv. 14
000898788 5050_ $$aPart A: Methods for Data Analysis and Design -- Chapter 1: How we design our society from data-centric point of view -- Chapter 2: Practical methods of data analysis -- Chapter 3: How to design data products with heterogeneous stakeholders -- Chapter 4: Designing Human-Machine Systems Focusing on Benefits of Inconvenience -- Part B: Mathematical Foundation of Collective Human Behavior -- Chapter 5: A simple model for information cascade and Two kinds of phase transitions -- Chapter 6: Information cascade model on networks I -- Chapter 7: Information cascade on networks II -- Chapter 8: Correlation function for generalized Polya urns: Finite-size scaling analysis -- Chapter 9: Pitman distribution and Big data analysis of Japanese election -- Chapter 10: Exact Scale Invariance in Mixing of Binary Candidates: Big data analysis -- Chapter 11: Phase transition in a voting experiment of two-choice quiz -- Chapter 12: Phase transition in generalized Polya urn in Information cascade experiment.
000898788 506__ $$aAccess limited to authorized users.
000898788 520__ $$aThe intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects--human behavior, data-centric science, and social design--independently and with regard to the relationships among them.
000898788 588__ $$aDescription based on print version record.
000898788 650_0 $$aHuman behavior models.
000898788 7001_ $$aSato, Aki-Hiro.
000898788 77608 $$iPrint version:$$aSato, Aki-Hiro.$$tApplications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior.$$dSingapore : Springer, ©2019$$z9789811071935
000898788 830_0 $$aAgent-based social systems ;$$vv. 14.
000898788 852__ $$bebk
000898788 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7194-2$$zOnline Access$$91397441.1
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