Introduction to Computational Social Science

Principles and Applications

  • Claudio¬†Cioffi-Revilla

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

Table of contents

  1. Front Matter
    Pages I-XXXIII
  2. Claudio Cioffi-Revilla
    Pages 1-21
  3. Claudio Cioffi-Revilla
    Pages 23-66
  4. Claudio Cioffi-Revilla
    Pages 67-88
  5. Claudio Cioffi-Revilla
    Pages 89-117
  6. Claudio Cioffi-Revilla
    Pages 119-144
  7. Claudio Cioffi-Revilla
    Pages 145-170
  8. Claudio Cioffi-Revilla
    Pages 171-221
  9. Claudio Cioffi-Revilla
    Pages 223-247
  10. Claudio Cioffi-Revilla
    Pages 249-271
  11. Claudio Cioffi-Revilla
    Pages 273-303
  12. Back Matter
    Pages 305-320

About this book


The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies.

This reader-friendly textbook/reference is the first work of its kind to provide a comprehensive and unified Introduction to Computational Social Science. Four distinct methodological approaches are examined in particular detail, namely automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. The coverage of each of these approaches is supported by a discussion of the historical context and motivations, as well as by a list of recommended texts for further reading.

Topics and features:

  • Describes the scope and content of each area of CSS, covering topics on information extraction, social networks, complexity theory, and social simulations
  • Highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics
  • Explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches
  • Discusses a number of methodological tools, including extracting entities from text, computing social network indices, and building an agent-based model
  • Presents the main classes of entities, objects, and relations common to the computational analysis of social complexity
  • Examines the interdisciplinary integration of knowledge in the context of social phenomena

This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field.


Complexity Theory Computational Social Science (CSS) Social Data Mining Social Geographic Information Systems (SocioGIS) Social Network Analysis Social Simulation

Authors and affiliations

  • Claudio¬†Cioffi-Revilla
    • 1
  1. 1.George Mason UniversityFairfaxUSA

Bibliographic information