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Titlebook: Introduction to Computational Social Science; Principles and Appli Claudio Cioffi-Revilla Textbook 2017Latest edition Springer Nature Switz

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發(fā)表于 2025-3-21 16:42:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Computational Social Science
副標(biāo)題Principles and Appli
編輯Claudio Cioffi-Revilla
視頻videohttp://file.papertrans.cn/474/473555/473555.mp4
概述Expanded new edition enhanced with exercises and problems (with solutions).Introduces the key concepts in computational social science, providing formal definitions and a glossary.Describes the scope
叢書名稱Texts in Computer Science
圖書封面Titlebook: Introduction to Computational Social Science; Principles and Appli Claudio Cioffi-Revilla Textbook 2017Latest edition Springer Nature Switz
描述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.
出版日期Textbook 2017Latest edition
關(guān)鍵詞Complexity Theory; Computational Social Science (CSS); Social Data Mining; Social Geographic Informatio
版次2
doihttps://doi.org/10.1007/978-3-319-50131-4
isbn_softcover978-3-319-84324-7
isbn_ebook978-3-319-50131-4Series ISSN 1868-0941 Series E-ISSN 1868-095X
issn_series 1868-0941
copyrightSpringer Nature Switzerland AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 23:34:23 | 只看該作者
Computation and Social Science, the conduct of CSS research. The Unified Modeling Language (UML) is used as a systematic graphic notation for representing social entities, relations, and interactions, based on a variety of examples drawn from across social science domains. Data structures and algorithms, which are foundational to
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Social Complexity I: Origins and Measurement,ity that exists today originated thousands of years ago at specific locations under specific circumstances, not in some arbitrary way. How do we know this from a scientific perspective? This chapter addresses this question by examining current methods for measuring social complexity, including the u
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,Social Complexity III:?Theories,formed in the first cradles of civilization. Detailed analysis of these primary systems and processes is essential for understanding social complexity. The third thrust of the chapter is on general theories of social complexity, which encompass universal explanations of original, current, and future
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發(fā)表于 2025-3-22 23:37:00 | 只看該作者
Simulations I: Methodology,sed to improve previous and subsequent stages. What matters most is maintaining quality control throughout the process in order to be able to analyze a model that can be trusted. Complex social simulations are a breed apart, comprised relatively large teams consisting of multidisciplinary specialist
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Simulations II: Variable-Oriented Models,pecially system dynamics models with probabilistic components. Both classes of models comprise a large scientific literature and numerous applications that range from basic scientific research to applied policy domains in national defense and homeland security, transportation, public health, commerc
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