Introduction to computational social science : principles and applications
Resource Information
The work Introduction to computational social science : principles and applications represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Introduction to computational social science : principles and applications
Resource Information
The work Introduction to computational social science : principles and applications represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Introduction to computational social science : principles and applications
- Title remainder
- principles and applications
- Statement of responsibility
- Claudio Cioffi-Revilla
- Language
- eng
- Summary
- The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies. This reader-friendly textbook/reference is the first work of its kind to provide a comprehensive and unified Introduction to Computational Social Science. Four distinct methodological approaches are examined in particular detail, namely automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. The coverage of each of these approaches is supported by a discussion of the historical context and motivations, as well as by a list of recommended texts for further reading. Topics and features: Describes the scope and content of each area of CSS, covering topics on information extraction, social networks, complexity theory, and social simulations ; 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, including extracting entities from text, computing social network indices, and building an agent-based model ; 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.This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field
- Cataloging source
- BTCTA
- Dewey number
- 300.285
- Illustrations
- illustrations
- Index
- index present
- LC call number
- H61.3
- LC item number
- .C56 2014
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Texts in Computer Science,
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/rCn3Pfl40RA/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/rCn3Pfl40RA/">Introduction to computational social science : principles and applications</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>