Introduction to computational social science : principles and applications
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Bibliographic Information
Introduction to computational social science : principles and applications
（Texts in computer science）
Springer, 2017
2nd ed
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Note
Bibliography: p. 585-592
Includes indexes
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"