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Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas / edited by Zining Yang, Santiago Núñez-Corrales.
- Format:
- Book
- Author/Creator:
- Computational Social Science Society of the Americas. Conference (2022 : Santa Fe, N.M.)
- Series:
- Springer Proceedings in Complexity, 2213-8692
- Language:
- English
- Subjects (All):
- System theory.
- Schools of economics.
- Dynamics.
- Social sciences--Network analysis.
- Social sciences.
- Complex Systems.
- Agent-based Economics.
- Dynamical Systems.
- Network Research.
- Local Subjects:
- Complex Systems.
- Agent-based Economics.
- Dynamical Systems.
- Network Research.
- Physical Description:
- 1 online resource (240 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- Summary:
- 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.
- Contents:
- A Method to Differentiate ‘Fringe’ and ‘Mainstream’ Beliefs, and Its Application to Narratives on Russia, Ukraine, and Putin’s 2022 War
- Evaluating a Crowd Logistics Network Using Agent-Based Modeling
- Introducing Land Constraints to Macroeconomic Agent-based Models
- Interactions, Model Mechanisms and Behavioral Attractors in Complex Social Systems
- Modeling Farmers’ Adoption Potential to New Bioenergy Crops: An Agent-based Approach.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031375538
- 303137553X
- OCLC:
- 1402819572
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