RT info:eu-repo/semantics/bachelorThesis
T1 Algoritmos para la detección de comunidades solapadas en redes.
A1 Jiménez Gomis, Miguel
A2 Grado En Ingeniería Informática
K1 clustering
K1 comunidades
K1 algoritmo
K1 detección
K1 big data
K1 clustering
K1 comunidades
K1 algoritmo
K1 detección
K1 big data
AB In this project, it is proposed a new algorithm for the detection of communities in networks that allows to make fast assignments to different communities in the graph, when data is in real time. The objective of this algorithm is to reduce the computational load of this analysis and provide approximate valid solutions in less time, making possible the identification of the data that exist in the intersection of the communities, to have those data points into account in order to obtain better results.To check the viability of the proposed algorithm, an experimentation has been done with real data to have an easy way to compare with the literature, and with an artificial dataset, in order to make the analysis broader. The experimentation and previous analysis made in this project establish a solid base in order to keep working to complete and improve the proposed algorithm.
YR 2019
FD 2019
LK http://riull.ull.es/xmlui/handle/915/16591
UL http://riull.ull.es/xmlui/handle/915/16591
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 13-may-2024