Editors:
- Features the most important recent results in computational social science
- Contains both empirical and theoretical state-of-the-art approaches to social phenomena
- Fosters discussion among practitioners of diverse fields from physics to computer science to the social sciences
- Provides not only a study of social behavior under day-to-day conditions but also behavioral changes and social adaptations to extraordinary and stressful situations
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (12 chapters)
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Front Matter
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Social Behavior Under Normal Conditions
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Front Matter
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Back Matter
About this book
Keywords
- Computational Tools for Criminal Behavior
- Data-driven Social Sciences
- Human Behavior in Financial Markets
- Human Dynamics
- Modeling And Understanding of Social Events
- Modeling Infectious Diseases
- Modeling Social Contagion
- Modeling Terroristic Escalations
- Online Social Networks
- Proxy Data for Social and Behavioral Analysis
- Social Contagion and Information Diffusion
- Social Network Analysis
- Tools for Criminal Behavior
- data-driven science, modeling and theory building
Reviews
“As a collection of state-of-the-art summaries and several interesting applications, it could easily form the foundation of multidisciplinary conversations on the future of big data and modeling and simulation to advance understanding of social phenomena. Social Phenomena would serve as a solid starting point for those researchers interested in delving into the increasingly large, available datasets to enhance their models.” (Erika Frydenlund, JASSS The Journal of Artificial Societies and Social Simulation, Vol. 19 (2), March, 2016)
“This book is essentially a reference book on data analysis and models. It does a superb job in this domain.” (M. M. Tanik, Computing Reviews, January, 2016)
Editors and Affiliations
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Centre de Physique Théorique, Aix-Marseille Université Campus de Luminy, Case 907, Marseille, France
Bruno Gonçalves
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MoBS Lab, Northeastern University, Boston, USA
Nicola Perra
Bibliographic Information
Book Title: Social Phenomena
Book Subtitle: From Data Analysis to Models
Editors: Bruno Gonçalves, Nicola Perra
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-319-14011-7
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14010-0Published: 26 August 2015
Softcover ISBN: 978-3-319-34940-4Published: 22 October 2016
eBook ISBN: 978-3-319-14011-7Published: 14 August 2015
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XII, 260
Number of Illustrations: 4 b/w illustrations, 67 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Computer Appl. in Social and Behavioral Sciences, Methodology of the Social Sciences, Game Theory, Economics, Social and Behav. Sciences, Numerical and Computational Physics, Simulation