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]

NetworkInference_1.2.5.tar.gz
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NetworkInference_1.2.5.tar.gz(r-4.7-arm64)NetworkInference_1.2.5.tar.gz(r-4.7-x86_64)NetworkInference_1.2.5.tar.gz(r-4.6-arm64)NetworkInference_1.2.5.tar.gz(r-4.6-x86_64)
NetworkInference_1.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NetworkInference/json (API)

# 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:

On CRAN:

Conda:

diffusiondiffusion-networknetinf-algorithmnetwork-analysiscpp

6.09 score 24 stars 51 scripts 312 downloads 1 mentions 11 exports 23 dependencies

Last updated from:78bee0b546. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK153
source / vignettesOK233
linux-release-arm64OK169
linux-release-x86_64OK166
macos-release-arm64OK104
macos-release-x86_64OK377
macos-oldrel-arm64OK116
macos-oldrel-x86_64OK391
windows-devel-arm64OK365
windows-devel-x86_64OK209
windows-release-arm64OK367
windows-release-x86_64OK148
windows-oldrel-x86_64OK128
wasm-releaseOK107

Exports:as_cascade_longas_cascade_widecount_possible_edgesdrop_nodesis.cascadeis.diffnetnetinfsimulate_cascadessimulate_rnd_cascadessubset_cascadesubset_cascade_time

Dependencies:assertthatbackportscheckmateclicpp11farverggplot2ggrepelgluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppProgressrlangS7scalesvctrsviridisLitewithr

NetworkInference Tutorial: Persistent Policy Diffusion Ties
Introduction | Installing the package | Exploring SPID Data | Preparing the Data for NetworkInference | Subsetting by Cascade | Subsetting in Time | Removing Nodes (States) | Visually Inspecting Cascades | Inferring the Latent Diffusion Network | Classic Netinf | Automatic Parameter Selection | Selecting the number of edges automatically | Selecting the parameters of the diffusion model | Netinf output
Rendered fromtutorial_vignette.Rmdusingknitr::rmarkdown

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

NetworkInference: Quick Start Guide
Introduction | Installation | Quick start guide
Rendered fromquickstart_vignette.Rmdusingknitr::rmarkdown

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