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Introduction To Computational Social Science: Principles And Applications (Texts In Computer Science)
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This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.

Series: Texts in Computer Science

Hardcover: 320 pages

Publisher: Springer; 2014 edition (January 1, 2014)

Language: English

ISBN-10: 1447156609

ISBN-13: 978-1447156604

Product Dimensions: 6.3 x 0.9 x 9.2 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

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Best Sellers Rank: #1,178,053 in Books (See Top 100 in Books) #160 in Books > Science & Math > Mathematics > Applied > Graph Theory #271 in Books > Computers & Technology > Computer Science > Computer Simulation #616 in Books > Computers & Technology > Databases & Big Data > Data Mining

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