Data Network Game: Enabling Collaboration via Data Mesh

Lucaleonardo Bove, Lucaleonardo Bove, Nicolò G. Totaro, Nicolò G. Totaro, Massimiliano Gervasi, Massimiliano Gervasi

2025

Abstract

Organizations aim to transform raw data into valuable insights using advanced analytical methods. Since data can be replicated and shared, multiple actors can simultaneously utilize the same information. This study presents the Data Network, a theoretical framework representing potential collaborations among organizations sharing data in large-scale big data projects, using Data Mesh as a supporting architecture. The Data Network Game (DNG) extends this model by applying game theory to analyze inter-organizational collaborations, incorporating market-imposed constraints that limit compatibility. Various scenarios, defined by distinct benefit and cost functions, are explored to understand their impact on coalition formation and market dynamics. A simplified theoretical example shows how coalitions can achieve greater value through collaboration than by acting independently. This model serves as a practical tool for assessing the trade-offs of cooperation and offers insights into managing emerging data-driven markets.

Paper Citation

in Harvard Style

Bove L., Totaro N. and Gervasi M. (2025). Data Network Game: Enabling Collaboration via Data Mesh. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-750-4, SciTePress, pages 81-92. DOI: 10.5220/0013283800003944

in Bibtex Style

@conference{iotbds25,
author={Lucaleonardo Bove and Nicolò Totaro and Massimiliano Gervasi},
title={Data Network Game: Enabling Collaboration via Data Mesh},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={81-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013283800003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Data Network Game: Enabling Collaboration via Data Mesh
SN - 978-989-758-750-4
AU - Bove L.
AU - Totaro N.
AU - Gervasi M.
PY - 2025
SP - 81
EP - 92
DO - 10.5220/0013283800003944
PB - SciTePress