Probabilistic Multilayer Networks
Physics and Society
2021-07-13 v2 Social and Information Networks
Data Analysis, Statistics and Probability
Abstract
Here we introduce probabilistic weighted and unweighted multilayer networks as derived from information theoretical correlation measures on large multidimensional datasets. We present the fundamentals of the formal application of probabilistic inference on problems embedded in multilayered environments, providing examples taken from the analysis of biological and social systems: cancer genomics and drug-related violence.
Cite
@article{arxiv.1808.07857,
title = {Probabilistic Multilayer Networks},
author = {Enrique Hernández-Lemus and Jesús Espinal-Enríquez and Guillermo de Anda-Jáuregui},
journal= {arXiv preprint arXiv:1808.07857},
year = {2021}
}
Comments
9 pages, 2 Figures, 1 Table, 3 Appendices