Realistic Social Networks in Agent-Based Modeling

Maxim Malikov, Kathleen Salazar-Serna

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper explores the importance of accurate social network connections in agent-based modeling and simulations. It examines the current state of social network datasets, discusses the building steps necessary to create an accurate and realistic social network representation, and showcases an example of one such network. Finally, it uses an agent-based model of a multi-modal transportation system to compare agent behavior under two different networks, highlighting the importance of social network structure. This structure proves critical in simulations where agents' decisions depend on social interactions, directly impacting the effectiveness of policy interventions.

Idioma originalInglés
Título de la publicación alojadaANNSIM 2025 - Annual Modeling and Simulation Conference 2025
EditoresSamuel Ferrero-Losada, Ahmad Bany Abdelnabi
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798331316167
EstadoPublicada - 2025
Evento2025 Annual Modeling and Simulation Conference, ANNSIM 2025 - Madrid, Espana
Duración: 26 may. 202529 may. 2025

Serie de la publicación

NombreANNSIM 2025 - Annual Modeling and Simulation Conference 2025

Conferencia

Conferencia2025 Annual Modeling and Simulation Conference, ANNSIM 2025
País/TerritorioEspana
CiudadMadrid
Período26/05/2529/05/25

Huella

Profundice en los temas de investigación de 'Realistic Social Networks in Agent-Based Modeling'. En conjunto forman una huella única.

Citar esto