A Reflective Architecture for Agent-Based Models Applied to Social Network Sites

Diego Nuñez, Tomás Vélez, Paul Leger, Daniel San Martín

2024

Abstract

Social network sites serve as effective platforms for word-of-mouth marketing (WOM), often analyzed through Agent-Based Models (ABMs). However, implementing ABMs can be daunting, with programmers facing the choice of building from scratch or using frameworks. To tackle this, we propose FASOW (Flexible Agent Simulator for Open WOM) architecture, employing the Reflective Tower design. FASOW’s four layers cater to varying complexities, simplifying implementation by breaking down models into manageable sub-layers. We validate FASOW through a case study on Twitter, examining agent saturation effects in WOM marketing. Results indicate FASOW’s efficacy, though further use cases are needed for comprehensive evaluation. Additionally, we offer an online proof-of-concept for this architecture.

Paper Citation

in Harvard Style

Nuñez D., Vélez T., Leger P. and San Martín D. (2024). A Reflective Architecture for Agent-Based Models Applied to Social Network Sites. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 981-988. DOI: 10.5220/0012615100003690

in Bibtex Style

@conference{iceis24,
author={Diego Nuñez and Tomás Vélez and Paul Leger and Daniel San Martín},
title={A Reflective Architecture for Agent-Based Models Applied to Social Network Sites},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={981-988},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012615100003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Reflective Architecture for Agent-Based Models Applied to Social Network Sites
SN - 978-989-758-692-7
AU - Nuñez D.
AU - Vélez T.
AU - Leger P.
AU - San Martín D.
PY - 2024
SP - 981
EP - 988
DO - 10.5220/0012615100003690
PB - SciTePress