RT Journal Article
T1 Network visualization of cooperative games
A1 Pérez-Sechi, Carlos I.
A1 Castro Cantalejo, Javier
A1 Martín García, Daniel
A1 Gómez González, Daniel
A1 Gutiérrez García-Pardo, Inmaculada
A1 Espínola Vílchez, María Rosario
AB 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.
PB MDPI
YR 2025
FD 2025
LK https://hdl.handle.net/20.500.14352/119425
UL https://hdl.handle.net/20.500.14352/119425
LA eng
NO Pérez-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/ app15073825
NO Data 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).
NO Plan I+D+i del Gobierno de España
DS Docta Complutense
RD 27 feb 2026