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Titlebook: Proceedings of the 2023 International Conference of The Computational Social Science Society of the ; Zining Yang,Caroline Krejci Conferen

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发表于 2025-3-21 18:49:43 | 显示全部楼层 |阅读模式
书目名称Proceedings of the 2023 International Conference of The Computational Social Science Society of the Americas
编辑Zining Yang,Caroline Krejci
视频video
概述Collects the ideas presented at the 2023 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 2023 International Conference of The Computational Social Science Society of the ;  Zining Yang,Caroline Krejci Conferen
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 2023 annual conference of the Computational Social Science Society of the Americas (CSSSA). This conference is held in Santa Fe, New Mexico, November 2–5, 2023. 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..
出版日期Conference proceedings 2024
关键词Computer Science; Agent Based Modeling; Social Network Analysis; Game Theory; System Dynamics; Computatio
版次1
doihttps://doi.org/10.1007/978-3-031-64193-0
isbn_softcover978-3-031-64195-4
isbn_ebook978-3-031-64193-0Series 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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978-3-031-64195-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Proceedings of the 2023 International Conference of The Computational Social Science Society of the Americas978-3-031-64193-0Series ISSN 2213-8684 Series E-ISSN 2213-8692
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Robin Clark,Steven O. Kimbrough,Yuhin ChungAustralia is taken as a case study. Geographical diversity around mathematical achievement is explored by synthesizing the evidence currently available and outlining some of the key contributing factors. Possible ways for enhancing greater inclusivity in mathematics classrooms across location are pr
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Dylan MackAustralia is taken as a case study. Geographical diversity around mathematical achievement is explored by synthesizing the evidence currently available and outlining some of the key contributing factors. Possible ways for enhancing greater inclusivity in mathematics classrooms across location are pr
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