| 书目名称 | Introduction to Computational Social Science |
| 副标题 | Principles and Appli |
| 编辑 | Claudio Cioffi-Revilla |
| 视频video | |
| 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 |
| 丛书名称 | Texts in Computer Science |
| 图书封面 |  |
| 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 |
| 关键词 | Complexity Theory; Computational Social Science (CSS); Social Data Mining; Social Geographic Informatio |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-50131-4 |
| isbn_softcover | 978-3-319-84324-7 |
| isbn_ebook | 978-3-319-50131-4Series ISSN 1868-0941 Series E-ISSN 1868-095X |
| issn_series | 1868-0941 |
| copyright | Springer Nature Switzerland AG 2017 |
发表于 2025-3-21 16:42:51
