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Introduction to Computational Social Science: Principles and Applications

Introduction to Computational Social Science: Principles and Applications

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作者: Claudio Cioffi-Revilla

出版社: Springer

出版时间: 2014-01

ISBN: 9781447156604

装帧: 其他

分类: 外文古旧书>英文书>小说

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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. 2009年2月，美国哈伯大学的戴维·莱兹（David Laze）等15位学者在《科学》上联合发表题为《计算社会科学》的论文，宣告了计算社会科学的诞生。作者认为，计算社会科学作为一个新兴的研究领域，旨在从信息处理角度，利用先进的计算机和信息技术对社会科学进行跨学科研究。该书首次对计算社会科学进行了完整而统一的介绍，包括计算社会科学的概念，提出了相关的定义和专业术语，描述了计算社会科学各个领域的研究范围和研究内容，包括信息挖掘、社会化网络、社会复杂性理论和社会仿真等。
内容简介:
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.
作者简介:
2009年2月，美国哈伯大学的戴维·莱兹（David Laze）等15位学者在《科学》上联合发表题为《计算社会科学》的论文，宣告了计算社会科学的诞生。作者认为，计算社会科学作为一个新兴的研究领域，旨在从信息处理角度，利用先进的计算机和信息技术对社会科学进行跨学科研究。该书首次对计算社会科学进行了完整而统一的介绍，包括计算社会科学的概念，提出了相关的定义和专业术语，描述了计算社会科学各个领域的研究范围和研究内容，包括信息挖掘、社会化网络、社会复杂性理论和社会仿真等。

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