| 書目名稱 | Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas | | 編輯 | Ted Carmichael,Zining Yang | | 視頻video | http://file.papertrans.cn/759/758047/758047.mp4 | | 概述 | Presents the newest results and approaches in the field.Details how the tools of CSS and ABM can help explore phenomena across different domains.Includes numerous case studies.Takes an interdisciplina | | 叢書名稱 | Springer Proceedings in Complexity | | 圖書封面 |  | | 描述 | .This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 – 28, 2018, at the Drury Plaza Hotel...CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.?.What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across manydifferent domains. Readers will not only have the methods and results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study e | | 出版日期 | Conference proceedings 2020 | | 關(guān)鍵詞 | Computational Social Science; Agent Based Modeling; Complex Adaptive Systems; Social Network Analysis; N | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-35902-7 | | isbn_softcover | 978-3-030-35904-1 | | isbn_ebook | 978-3-030-35902-7Series ISSN 2213-8684 Series E-ISSN 2213-8692 | | issn_series | 2213-8684 | | copyright | Springer Nature Switzerland AG 2020 |
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