Introduction to Computational Social Science: Principles and Applications

Introduction to Computational Social Science: Principles and Applications

by Claudio Cioffi-Revilla

Hardcover(2nd ed. 2017)

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Introduction to Computational Social Science: Principles and Applications by Claudio Cioffi-Revilla

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.

Product Details

ISBN-13: 9783319501307
Publisher: Springer International Publishing
Publication date: 06/30/2017
Series: Texts in Computer Science
Edition description: 2nd ed. 2017
Pages: 607
Product dimensions: 6.10(w) x 9.25(h) x (d)

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.

Table of Contents


Computation and Social Science

Automated Information Extraction

Social Networks

Social Complexity I: Origins and Measurement

Social Complexity II: Laws

Social Complexity III: Theories

Simulations I: Methodology

Simulations II: Variable-Oriented Models

Simulations III: Object-Oriented Models

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