Introduction to Computational Social Science

Introduction to Computational Social Science Principles and Applications - Texts in Computer Science

Softcover reprint of the original 2nd Edition 2017

Paperback (13 May 2018)

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Publisher's 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.

Book information

ISBN: 9783319843247
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 2nd Edition 2017
Language: English
Number of pages: 607
Weight: 1074g
Height: 157mm
Width: 234mm
Spine width: 34mm