The Resource Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior, edited by Aki-Hiro Sato, (electronic resource)

Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior, edited by Aki-Hiro Sato, (electronic resource)

Label
Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior
Title
Applications of Data-Centric Science to Social Design
Title remainder
Qualitative and Quantitative Understanding of Collective Human Behavior
Statement of responsibility
edited by Aki-Hiro Sato
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
trOzcY7jF9U
Image bit depth
0
LC call number
HD30.2
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Sato, Aki-Hiro
  • SpringerLink
Series statement
Agent-Based Social Systems,
Series volume
14
http://library.link/vocab/subjectName
  • Knowledge management
  • Management
  • Management information systems
  • Statistics
  • Knowledge Management
  • Innovation/Technology Management
  • Business Information Systems
  • Statistics for Social Sciences, Humanities, Law
  • Data-driven Science, Modeling and Theory Building
Label
Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior, edited by Aki-Hiro Sato, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2019.
Extent
X, 266 p. 95 illus., 39 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811071942
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7194-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-7194-2
Label
Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior, edited by Aki-Hiro Sato, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2019.
Extent
X, 266 p. 95 illus., 39 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811071942
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7194-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-7194-2

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