Introduction to Computational Social Science : Principles and Applications

Claudio Cioffi-Revilla

ISBN 10: 3319843249 / ISBN 13: 9783319843247

Published by Springer International Publishing, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319843247

Bibliographic Details

• Title: Introduction to Computational Social Science : Principles and Applications
• Publisher: Springer International Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 3319843249
• ISBN 13: 9783319843247
• Binding: Taschenbuch
• Condition: Neu

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.