Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas
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Beschreibung
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 2022 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.
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 2022 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.
Collects the ideas presented at the 2022 CSSSA conference Represents the vanguard in in the field of Computational Social Science Aims to advance the field of computational social science in all areas
Autor*in
Zining Yang
Themen in »Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas«
Complexity Computational Social Science Agent Based Modeling Complex Adaptive Systems Social Network Analysis Network Science System Dynamics Computational Modeling