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 |
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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 Bertagnolli [aut, cre], Manlio De Domenico [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 |
Documentation:
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