Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Giulia Bertagnolli [aut, cre] (<https://orcid.org/0000-0001-8637-0632>), Manlio De Domenico [aut] (<https://orcid.org/0000-0001-5158-8594>) |
| Maintainer | Giulia Bertagnolli <giulia.bertagnolli@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.1 |
| URL | https://gbertagnolli.github.io/diffudist/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the diffudist package in your browser
Any scripts or data that you put into this service are public.
