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Titlebook: Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas; Zining Yang,Elizabeth von Briesen Conferen

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书目名称Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas
编辑Zining Yang,Elizabeth von Briesen
视频video
概述Collects the ideas presented at the 2020 CSSSA conference.Represents the vanguard in Computational Social Science and Agent-Based Modeling.Gives readers an overview of CSS and specific cases for build
丛书名称Springer Proceedings in Complexity
图书封面Titlebook: Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas;  Zining Yang,Elizabeth von Briesen Conferen
描述.This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. .The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains.  Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater
出版日期Conference proceedings 2021
关键词Conference Proceedings on Computational Social Science; Agent-Based Modeling; Complex Adaptive Systems
版次1
doihttps://doi.org/10.1007/978-3-030-83418-0
isbn_softcover978-3-030-83420-3
isbn_ebook978-3-030-83418-0Series ISSN 2213-8684 Series E-ISSN 2213-8692
issn_series 2213-8684
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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