Package: NetworkInference 1.2.5

Fridolin Linder

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.

Authors:Fridolin Linder [aut, cre], Bruce Desmarais [ctb]

# Install 'NetworkInference' in R:

install.packages('NetworkInference', repos = c('https://desmarais-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/desmarais-lab/networkinference/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

cascades - Example cascades
policies - US State Policy Adoption
policies_metadata - US State Policy Adoption
sim_validation - Larger simulated validation network.
validation - Validation output from netinf source.

On CRAN:

diffusion diffusion-network netinf-algorithm network-analysis cpp

6.01 score 24 stars 43 scripts 187 downloads 1 mentions 11 exports 23 dependencies

Last updated from:78bee0b546. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	174
linux-devel-x86_64	OK	159
source / vignettes	OK	222
linux-release-arm64	OK	175
linux-release-x86_64	OK	161
macos-release-arm64	OK	141
macos-release-x86_64	OK	257
macos-oldrel-arm64	OK	185
macos-oldrel-x86_64	OK	358
windows-devel	OK	157
windows-release	OK	165
windows-oldrel	OK	171
wasm-release	OK	125

Exports:as_cascade_long as_cascade_wide count_possible_edges drop_nodes is.cascade is.diffnet netinf simulate_cascades simulate_rnd_cascades subset_cascade subset_cascade_time

Dependencies:assertthat backports checkmate cli cpp11 farver ggplot2 ggrepel glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp RcppProgress rlang S7 scales vctrs viridisLite withr

NetworkInference Tutorial: Persistent Policy Diffusion Ties

Fridolin Linder and Bruce Desmarais

Rendered fromtutorial_vignette.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2018-06-05
Started: 2018-06-05

NetworkInference: Quick Start Guide

Fridolin Linder

Rendered fromquickstart_vignette.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2018-06-05
Started: 2018-06-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Transform long data to cascade	as_cascade_long
Transform wide data to cascade	as_cascade_wide
Convert a cascade object to a data frame	as.data.frame.cascade
Convert a cascade object to a matrix	as.matrix.cascade
Example cascades	cascades
Count the number of possible edges in the dataset	count_possible_edges
Drop nodes from a cascade object	drop_nodes
Is the object of class cascade?	is.cascade
Is the object of class diffnet?	is.diffnet
Infer latent diffusion network	netinf
NetworkInference: Inferring latent diffusion networks	NetworkInference
Plot a cascade object	plot.cascade
Visualize netinf output	plot.diffnet
US State Policy Adoption (SPID)	policies policies_metadata
Larger simulated validation network.	sim_validation
Simulate cascades from a diffusion network	simulate_cascades
Simulate a set of random cascades	simulate_rnd_cascades
Select a subset of cascades from cascade object	subset_cascade
Subset a cascade object in time	subset_cascade_time
Summarize a cascade object	summary.cascade
Validation output from netinf source.	validation