Package: NetworkInference 1.2.4.9000

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

5.88 score 23 stars 33 scripts 243 downloads 1 mentions 11 exports 34 dependencies

Last updated 6 years agofrom:7c38effc49. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 12 2024
R-4.5-win-x86_64	NOTE	Nov 12 2024
R-4.5-linux-x86_64	NOTE	Nov 12 2024
R-4.4-win-x86_64	NOTE	Nov 12 2024
R-4.4-mac-x86_64	NOTE	Nov 12 2024
R-4.4-mac-aarch64	NOTE	Nov 12 2024
R-4.3-win-x86_64	NOTE	Nov 12 2024
R-4.3-mac-x86_64	NOTE	Nov 12 2024
R-4.3-mac-aarch64	NOTE	Nov 12 2024

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 colorspace fansi farver ggplot2 ggrepel glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer Rcpp RcppProgress rlang scales tibble utf8 vctrs viridisLite withr

NetworkInference Tutorial: Persistent Policy Diffusion Ties

Fridolin Linder and Bruce Desmarais

Rendered fromtutorial_vignette.Rmdusingknitr::rmarkdownon Nov 12 2024.

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

NetworkInference: Quick Start Guide

Fridolin Linder

Rendered fromquickstart_vignette.Rmdusingknitr::rmarkdownon Nov 12 2024.

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