diffudist: Diffusion Distance for Complex Networks
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 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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