Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
Social and Information Networks
2024-02-08 v1 Statistics Theory
Physics and Society
Statistics Theory
Abstract
In this paper we introduce the concept of multiple bipolar fuzzy measures as a generalization of a bipolar fuzzy measure. We also propose a new definition of a group, which is based on the multidimensional bipolar fuzzy relations of its elements. Taking into account this information, we provide a novel procedure (based on the well-known Louvain algorithm) to deal with community detection problems. This new method considers the multidimensional bipolar information provided by multiple bipolar fuzzy measures, as well as the information provided by a graph. We also give some detailed computational tests, obtained from the application of this algorithm in several benchmark models.
Keywords
Cite
@article{arxiv.2402.04786,
title = {Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information},
author = {Inmaculada Gutiérrez and Daniel Gómez and Javier Castro and Rosa Espínola},
journal= {arXiv preprint arXiv:2402.04786},
year = {2024}
}
Comments
14 pages