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Título : A game-theory modeling approach to utility and strength of interactions dynamics in biomedical research social networks
Autor: Siqueiros-García, Jesús Mario
Otros autores : García Herrera, Rodrigo
Hernández Lemus, Enrique
Alcalá Corona, Sergio
En: Complex Adaptive Systems Modeling (2194-3206), Vol 5, (2018)
Número completo : https://casmodeling.springeropen.com/
Editorial : Springer
Abstract : Collaboration has become a cornerstone in biomedical research today. In contrast to physics which has a long history and experience in collaborative projects, biology is only recently becoming an evermore collaborative discipline. In this article we explore the effect of a collaboration network on the distribution of players having access to certain amount of resources from other players in the network and the distribution of the strength of interactions among them. We are interested in how they affect each other in the context of a network of scientific collaboration under the idea that while researchers are interested in maximizing their utilities, they also know that it is important to invest in building collaborative relationships.
Area del conocimiento : Ciencias Físico Matemáticas y Ciencias de la Tierra
Palabras clave en inglés : Collaboration networks
Social networks analysis
Biomedicine
Game theory
Fecha de publicación : 16-may-2017
DOI : http://dx.doi.org/10.1186/s40294-017-0044-0
URI : http://www.ru.iimas.unam.mx/handle/IIMAS_UNAM/ART1
Idioma: Inglés
Lugar: Estados Unidos
Citación : Siqueiros-Garcia, J. M., Garcia-Herrera, R., Hernandez-Lemus, E., & Alcala-Corona, S. (2017). A game-theory modeling approach to utility and strength of interactions dynamics in biomedical research social networks.Complex Adaptive Systems Modeling, 5. doi:10.1186/s40294-017-0044-0
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