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Introduction to Computational Social Science : principles and applications / Claudio A Cioffi-Revilla

By: Cioffi-Revilla, ClaudioContributor(s): Cioffi-Revilla, ClaudioMaterial type: Text

TextPublisher number: :Zafaa Books & Distributors | :313/56F 49A, Anand Nagar Inderlok Delhi 110035Publication details: London :Springer , 2014Description: xxxiii, 320p 24cmISBN: 9783319843247Subject(s): Social Sciences | Social Sciences -- Data processing | Social Sciences -- Mathematical models | Data MiningDDC classification: 300.285 CIO

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.

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.

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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode	Item holds
Books	SNU LIBRARY	300.285 CIO (Browse shelf(Opens below))	Not For Loan	Books Shifted in Mathematics Dept.		28606

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Previous	300.15195 FIE Discovering statistics using R	300.1519536 FOX Applied regression analysis and generalized linear models	300.18 CAR Reliability and validity assessment.	300.285 CIO Introduction to Computational Social Science : principles and applications	300.7 FOW Improving survey questions	300.72 BAR Arts Based Research	300.72 BRY Social research methods	Next

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.

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.

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