arXiv · 2009.08390
Detecci\'on de comunidades en redes: Algoritmos y aplicaciones
Abstract
This master's thesis work has the objective of performing an analysis of the methods for detecting communities in networks. As an initial part, I study of the main features of graph theory and communities, as well as common measures in this problem. Subsequently, I was performed a review of the main methods of detecting communities, developing a classification, taking into account its characteristics and computational complexity for the detection of strengths and weaknesses in the methods, as well as later works. Then, study the problem of classification of a clustering method, this in order to evaluate the quality of the communities detected by analyzing different measures. Finally conclusions are elaborated and possible lines of work that can be derived.
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Julio Omar Palacio Niño. 2020-09-15. Detecci\'on de comunidades en redes: Algoritmos y aplicaciones. https://doi.org/10.13140/rg.2.2.15213.82400
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