Introduction to Computational Social Science (Hardcover)

Claudio Cioffi-Revilla

ISBN 10: 3319501305 / ISBN 13: 9783319501307

Published by Springer International Publishing AG, Cham, 2017

About this Item

Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783319501307

Bibliographic Details

• Title: Introduction to Computational Social Science (Hardcover)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2017
• Language: English
• ISBN 10: 3319501305
• ISBN 13: 9783319501307
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

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 Author

Dr. Claudio Cioffi-Revilla is Distinguished University Professor Emeritus, founding and former chair of the Department of Computational Social Science, and founding and former director of the Center for Social Complexity at George Mason University, VA, USA.