NetworkInference: Inferring Latent Diffusion Networks

This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.

Version: 1.2.4
Imports: Rcpp (≥ 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp, RcppProgress
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils, dplyr
Published: 2019-02-28
DOI: 10.32614/CRAN.package.NetworkInference
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Citation: NetworkInference citation info
Materials: NEWS
CRAN checks: NetworkInference results


Reference manual: NetworkInference.pdf
Vignettes: NetworkInference: Quick Start Guide
NetworkInference Tutorial: Persistent Policy Diffusion Ties


Package source: NetworkInference_1.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NetworkInference_1.2.4.tgz, r-oldrel (arm64): NetworkInference_1.2.4.tgz, r-release (x86_64): NetworkInference_1.2.4.tgz, r-oldrel (x86_64): NetworkInference_1.2.4.tgz
Old sources: NetworkInference archive


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