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Introduction to Computational Social Science (2nd Edition)

Principles and Applications

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Springer

Pages: 607
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Hardcover - 9783319501307

10 July 2017

$119.99

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Ebook - 9783319501314

29 June 2017

$89.00

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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...

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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.

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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

Introduction
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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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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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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