Introduction to Computational Social Science
Principles and Applications
Authors: Cioffi-Revilla, Claudio
Free Preview- Expanded new edition enhanced with exercises and problems (with solutions)
- Introduces the key concepts in computational social science, providing formal definitions and a glossary
- Describes the scope of each sub-field, covering topics on information extraction, social networks, complexity theory and social simulations
- Discusses such methodological tools as extracting entities from text, computing social network indices and building an agent-based model
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- About this Textbook
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This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.
- About the authors
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Dr. Claudio Cioffi-Revilla is University Professor and Professor of Computational Social Science, founding and former Chair of the Department of Computational Social Science, and founding and current Director of the Center for Social Complexity at George Mason University, VA, USA.
- Reviews
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“This book is organized in a rigorous manner: each chapter includes an introductory abstract, a short chronology of the main achievements related to the chapter’s topic, well-balanced formalized-intuitive knowledge content, a significant number of questions … and finally a list of future readings. … I think Claudio Cioffi-Revilla’s work hits its assumed target: to be an affordable textbook for students and, at the same time, a useful support manual for instructors interested in learning or teaching computational social science.” (Valentin V. Inceu, Computing Reviews, February, 2019)
“This well-organized book provides a timely and comprehensive systematic introduction to CSS. The chapters are relatively independent. Therefore, readers may quickly grasp related information by reading chapters selectively. … this book is intended as a CSS textbook for graduate students … .” (Chenyi Hu, Computing Reviews, August 11, 2014)
- Table of contents (10 chapters)
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Introduction
Pages 1-33
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Computation and Social Science
Pages 35-102
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Automated Information Extraction
Pages 103-140
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Social Networks
Pages 141-192
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Social Complexity I: Origins and Measurement
Pages 193-246
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Table of contents (10 chapters)
- Download Preface 1 PDF (63.8 KB)
- Download Sample pages 2 PDF (1.1 MB)
- Download Table of contents PDF (277.4 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Introduction to Computational Social Science
- Book Subtitle
- Principles and Applications
- Authors
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- Claudio Cioffi-Revilla
- Series Title
- Texts in Computer Science
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-50131-4
- DOI
- 10.1007/978-3-319-50131-4
- Hardcover ISBN
- 978-3-319-50130-7
- Softcover ISBN
- 978-3-319-84324-7
- Series ISSN
- 1868-0941
- Edition Number
- 2
- Number of Pages
- XXXVI, 607
- Number of Illustrations
- 38 b/w illustrations, 21 illustrations in colour
- Topics
