Pérez-Sechi, Carlos I.Castro Cantalejo, JavierMartín García, DanielGómez González, DanielGutiérrez García-Pardo, InmaculadaEspínola Vílchez, María Rosario2025-04-092025-04-092025Pérez-Sechi, C.I.; Castro, J.; Gómez, D.; Martín, D.; Espínola, R.; Gutiérrez, I. Network Visualization of Cooperative Games. Appl. Sci. 2025, 15, 3825. https://doi.org/10.3390/ app1507382510.3390/ app15073825https://hdl.handle.net/20.500.14352/119425Data Availability Statement: The Python v3.10.16 implementation of the code which was used to generate the network visualizations, and to calculate the Shapley value Shi(N, v) and the interaction index Iij(v) is available as the CGT library version 0.0.12 at https://github.com/perez-sechi/cgt/releases/tag/0.0.12 (accessed on 27 February 2025).Over the last five decades, the modeling of characteristic functions has been the key focus of cooperative game theory research. Solutions for distributing goods among players have been extensively explored, while less emphasis has been placed on examining player interactions. This paper emphasizes the importance of player relationships, with the help of the ‘player interaction index’ to capture coalition formation needs. By representing interactions through a graph, this study deepens the understanding of player relationships and synergies. It elaborates a graphical representation using network analysis to visualize player interactions, enhancing the understanding of the dynamics within the game.engjournal articlehttps://doi.org/10.3390/ app15073825https://www.mdpi.com/2076-3417/15/7/3825open access519.813004.6Decision modelingSoft computingCooperative game theorySocial networksGraph theoryTeoría de JuegosRedes1207.06 Teoría de Juegos1209.03 Análisis de Datos