
Proceedings of the 2024 International Conference of The Computational Social Science Society of the Americas
CSSSA 2024, October 24–27, Santa Fe, USA
Series: Springer Proceedings in Complexity;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 20 October 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031896910
- Binding Hardback
- No. of pages260 pages
- Size 235x155 mm
- Language English
- Illustrations X, 260 p. 80 illus., 61 illus. in color. Illustrations, black & white 700
Categories
Long description:
This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 24th International Conference on Computational Science and Its Applications organized by the Computational Social Science Society of the Americas (CSSSA).
Table of Contents:
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Belief Evolution in Society Over Time: Dynamics Based on Random and Homophily-Based Networks, and Applications.- Retention in Higher Education: An Agent-Based Model of Social Interactions and Motivated Agent Behavior.- Micro, Meso, Macro: Generic Structures of Social Complexity for Defense Systems Engineering & National Security Wargames.- Classifying Noisy Human Signals Using Topological Data Analysis.- MADmax: Multi-Agent Trust Dynamics and Influence Maximization.- Gardening Contagion: Using Agent-Based Modeling to Examine Growth and Persistence of Food-Secure Communities.- Recommending Defenses Against Cyber Threats: An Approach Inspired by Machine Translation.- On Representing Knightian Uncertainty in Agent-Based Models.- Engaging Communities in Developing Technologies to Support Community Flourishing: A Workshop Report.- Generational Taste Formation and Cultural Markets: A Develecological Approach to Cultural Change.- Analysis of FPDS-NG Data for Economic Influence.- Intelligent Agent Interactions for Southwest Border Interdictions.- Scaling Agent-Based Model Outputs Using Network Analysis.- Modeling the Evacuation from a Regional Disaster Using the Poisson distribution.- Graph Neural Differential Equations for Coarse-Grained Socioeconomic Dynamics.
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