doi:10.1103/physrevlett.118.168301> and Bertagnolli, G. and De Domenico, M. (2021) <doi:10.1103/PhysRevE.103.042301>.">

diffudist: Diffusion Distance for Complex Networks (original) (raw)

Enables the evaluation of diffusion distances for complex single-layer networks. Given a network one can define different types of Laplacian (or transition) matrices corresponding to different continuous-time random walks dynamics on the network. This package enables the evaluation of Laplacians, stochastic matrices, and the corresponding diffusion distance matrices. The metric structure induced by the network-driven process is richer and more robust than the one given by shortest-paths and allows to study the geometry induced by different types of diffusion-like communication mechanisms taking place on complex networks. For more details see: De Domenico, M. (2017) <doi:10.1103/physrevlett.118.168301> and Bertagnolli, G. and De Domenico, M. (2021) <doi:10.1103/PhysRevE.103.042301>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: expm, ggdendro, ggplot2, grid, igraph, Matrix, stats, RColorBrewer, Rcpp (≥ 1.0.10), reshape2, rlang, viridis
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, cowplot, parallelDist, strex, tidyr, rmarkdown
Published: 2023-02-27
DOI: 10.32614/CRAN.package.diffudist
Author: Giulia BertagnolliORCID iD [aut, cre], Manlio De DomenicoORCID iD [aut]
Maintainer: Giulia Bertagnolli <giulia.bertagnolli at gmail.com>
BugReports: https://github.com/gbertagnolli/diffudist/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://gbertagnolli.github.io/diffudist/
NeedsCompilation: yes
Materials: README
CRAN checks: diffudist results

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