| 書目名稱 | Introduction to Computational Social Science |
| 副標(biāo)題 | Principles and Appli |
| 編輯 | Claudio Cioffi-Revilla |
| 視頻video | http://file.papertrans.cn/474/473554/473554.mp4 |
| 概述 | Introduces the key concepts in computational social science, providing formal definitions and a glossary.Describes the scope of each sub-field, covering topics on information extraction, social networ |
| 叢書名稱 | Texts in Computer Science |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Textbook 20141st edition |
| 關(guān)鍵詞 | Complexity Theory; Computational Social Science (CSS); Social Data Mining; Social Geographic Informatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-5661-1 |
| isbn_ebook | 978-1-4471-5661-1Series ISSN 1868-0941 Series E-ISSN 1868-095X |
| issn_series | 1868-0941 |
| copyright | Springer-Verlag London 2014 |
|Archiver|手機(jī)版|小黑屋|
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