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Introduction to Computational Social Science

Principles and Applications

  • Textbook
  • © 2017

Overview

Authors:
  1. Claudio Cioffi-Revilla

    1. George Mason University, Fairfax, USA

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  • 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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Texts in Computer Science (TCS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxxvi
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  2. Introduction

    • Claudio Cioffi-Revilla
    Pages 1-33

  3. Computation and Social Science

    • Claudio Cioffi-Revilla
    Pages 35-102

  4. Automated Information Extraction

    • Claudio Cioffi-Revilla
    Pages 103-140

  5. Social Networks

    • Claudio Cioffi-Revilla
    Pages 141-192

  6. Social Complexity I: Origins and Measurement

    • Claudio Cioffi-Revilla
    Pages 193-246

  7. Social Complexity II: Laws

    • Claudio Cioffi-Revilla
    Pages 247-289

  8. Social Complexity III: Theories

    • Claudio Cioffi-Revilla
    Pages 291-373

  9. Simulations I: Methodology

    • Claudio Cioffi-Revilla
    Pages 375-414

  10. Simulations II: Variable-Oriented Models

    • Claudio Cioffi-Revilla
    Pages 415-454

  11. Simulations III: Object-Oriented Models

    • Claudio Cioffi-Revilla
    Pages 455-511

  12. Back Matter

    Pages 513-607
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Keywords

About this book

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.

Reviews

“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)

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Authors and Affiliations

  • George Mason University, Fairfax, USA

    Claudio Cioffi-Revilla

About the author

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.

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