Introduction to Computational Social Science: Principles and

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Introduction to Computational Social Science: Principles and Applications (Texts in Computer Science)

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.
Country USA
Brand Springer
Manufacturer Springer
Binding Hardcover
ItemPartNumber 27811550
Model 27811550
ReleaseDate 2017-07-10
UnitCount 1
UPCs 003319501305
EANs 9783319501307

Country	USA
Brand	Springer
Manufacturer	Springer
Binding	Hardcover
ItemPartNumber	27811550
Model	27811550
ReleaseDate	2017-07-10
UnitCount	1
UPCs	003319501305
EANs	9783319501307

Introduction to Computational Social Science: Principles and Applications (Texts in Computer Science)

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