Fuzzy measures: a solution to deal with community detection problems for networks with additional information
Loading...
Official URL
Full text at PDC
Publication date
2020
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
IOS Press
Citations
Exportar
Citation
Gutiérrez, Inmaculada et al. ‘Fuzzy Measures: A Solution to Deal with Community Detection Problems for Networks with Additional Information’. 1 Jan. 2020 : 6217 – 6230
Abstract
In this work we introduce the notion of the weighted graph associated with a fuzzy measure. Having a finite set of elements between which there exists an affinity fuzzy relation, we propose the definition of a group based on that affinity fuzzy relation between the individuals. Then, we propose an algorithm based on the Louvain’s method to deal with community detection problems with additional information independent of the graph. We also provide a particular method to solve community detection problems over extended fuzzy graphs. Finally, we test the performance of our proposal by means of some detailed computational tests calculated in several benchmark models.