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diffudist
View on CRAN: Click
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Download and install diffudist package within the R console
Install from CRAN:
install.packages("diffudist")
Install from Github:
library("remotes")
install_github("cran/diffudist")
Install by package version:
library("remotes")
install_version("diffudist", "1.0.1")
Attach the package and use:
library("diffudist")
Maintained by
Giulia Bertagnolli
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2021-11-30
Latest Update: 2023-02-27
Description:
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) and
Bertagnolli, G. and De Domenico, M. (2021) .
How to cite:
Giulia Bertagnolli (2021). diffudist: Diffusion Distance for Complex Networks. R package version 1.0.1, https://cran.r-project.org/web/packages/diffudist. Accessed 06 May. 2025.
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Complete documentation for diffudist
Functions, R codes and Examples using
the diffudist R package
Some associated functions: eigenMapMatMult . eigenMatMult . getSpectralDecomp . get_ddm_from_eigendec . get_diffusion_probability_matrix . get_diffusion_probability_matrix_from_T . get_distance_matrix . get_distance_matrix_from_T . get_laplacian . get_mean_distance_matrix . plotHeatmap . plot_distance_matrix .
Some associated R codes: RcppExports.R . diffudist-package.R . get_diff_prob_matrix.R . get_distance_matrix.R . get_mean_distance_matrix.R . get_spectral.R . plotting_diffudist.R . Full diffudist package functions and examples
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