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Computational Social Sciences

Social Phenomena

From Data Analysis to Models

Editors: Gonçalves, Bruno, Perra, Nicola (Eds.)

  • 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
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eBook $79.99
price for USA (gross)
  • ISBN 978-3-319-14011-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-14010-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities as diverse as social sciences, physics and computer science. We hope to not only provide an unifying framework to understand and characterize social phenomena, but also to help foster the dialogue between researchers working on similar problems from different fields and perspectives.

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)


Table of contents (12 chapters)

  • Introduction

    Gonçalves, Bruno (et al.)

    Pages 1-12

  • Modeling and Understanding Intrinsic Characteristics of Human Mobility

    Toole, Jameson L. (et al.)

    Pages 15-35

  • Face-to-Face Interactions

    Barrat, Alain (et al.)

    Pages 37-57

  • Modeling and Predicting Human Infectious Diseases

    Perra, Nicola (et al.)

    Pages 59-83

  • Early Signs of Financial Market Moves Reflected by Google Searches

    Preis, Tobias (et al.)

    Pages 85-97

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-319-14011-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-14010-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Social Phenomena
Book Subtitle
From Data Analysis to Models
Editors
  • Bruno Gonçalves
  • Nicola Perra
Series Title
Computational Social Sciences
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-14011-7
DOI
10.1007/978-3-319-14011-7
Hardcover ISBN
978-3-319-14010-0
Series ISSN
2509-9574
Edition Number
1
Number of Pages
XII, 260
Number of Illustrations and Tables
4 b/w illustrations, 67 illustrations in colour
Topics