Network visualization of cooperative games

dc.contributor.authorPérez-Sechi, Carlos I.
dc.contributor.authorCastro Cantalejo, Javier
dc.contributor.authorMartín García, Daniel
dc.contributor.authorGómez González, Daniel
dc.contributor.authorGutiérrez García-Pardo, Inmaculada
dc.contributor.authorEspínola Vílchez, María Rosario
dc.date.accessioned2025-04-09T09:05:19Z
dc.date.available2025-04-09T09:05:19Z
dc.date.issued2025
dc.descriptionData 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).
dc.description.abstractOver 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.
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.sponsorshipPlan I+D+i del Gobierno de España
dc.description.statuspub
dc.identifier.citationPérez-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
dc.identifier.doi10.3390/ app15073825
dc.identifier.officialurlhttps://doi.org/10.3390/ app15073825
dc.identifier.relatedurlhttps://www.mdpi.com/2076-3417/15/7/3825
dc.identifier.urihttps://hdl.handle.net/20.500.14352/119425
dc.issue.number7
dc.journal.titleApplied Sciences
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDPID2020-116884GB-I00
dc.relation.projectIDPID2021-122905NB-C21
dc.rights.accessRightsopen access
dc.subject.cdu519.813
dc.subject.cdu004.6
dc.subject.keywordDecision modeling
dc.subject.keywordSoft computing
dc.subject.keywordCooperative game theory
dc.subject.keywordSocial networks
dc.subject.keywordGraph theory
dc.subject.ucmTeoría de Juegos
dc.subject.ucmRedes
dc.subject.unesco1207.06 Teoría de Juegos
dc.subject.unesco1209.03 Análisis de Datos
dc.titleNetwork visualization of cooperative games
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number15
dspace.entity.typePublication
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