Applications of Data-Centric Science to Social Design : Qualitative and Quantitative Understanding of Collective Human Behavior /: Qualitative and Quantitative Understanding of Collective Human Behavior. (2019)

• Record Type: Book
• Further Information: Note: Aki-Hiro Sato, editor.
• Other Names: Sato, Aki-Hiro
• 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.
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource (264 pages)
• Subjects: 658.4038; Human behavior models; Electronic books
• Languages: English
• ISBNs: 9789811071942; 9811071942
• Related ISBNs: 9789811071935
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.