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) and Bertagnolli, G. and De Domenico, M. (2021) .


Reference manual

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1.0.0 by Giulia Bertagnolli, 2 months ago


Report a bug at https://github.com/gbertagnolli/diffudist/issues/

Browse source code at https://github.com/cran/diffudist

Authors: Giulia Bertagnolli [aut, cre] , Manlio De Domenico [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports expm, ggdendro, ggplot2, grid, igraph, Matrix, stats, Rcpp, reshape2, rlang, viridis

Suggests knitr, cowplot, parallelDist, strex, tidyr, rmarkdown

Linking to Rcpp, RcppEigen

See at CRAN