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NetworkInference
View on CRAN: Click
here
Download and install NetworkInference package within the R console
Install from CRAN:
install.packages("NetworkInference")
Install from Github:
library("remotes")
install_github("cran/NetworkInference") Install by package version:
library("remotes")
install_version("NetworkInference", "1.2.5") Attach the package and use:
library("NetworkInference")
Maintained by
Fridolin Linder
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-26
Latest Update: 2019-02-28
Description:
This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010). 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.
How to cite:
Fridolin Linder (2017). NetworkInference: Inferring Latent Diffusion Networks. R package version 1.2.5, https://cran.r-project.org/web/packages/NetworkInference. Accessed 07 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for NetworkInference
Functions, R codes and Examples using
the NetworkInference R package
Some associated functions: NetworkInference . as.data.frame.cascade . as.matrix.cascade . as_cascade_long . as_cascade_wide . cascades . count_possible_edges . drop_nodes . is.cascade . is.diffnet . netinf . plot.cascade . plot.diffnet . policies . sim_validation . simulate_cascades . simulate_rnd_cascades . subset_cascade . subset_cascade_time . summary.cascade . validation .
Some associated R codes: NetworkInference.R . RcppExports.R . cascade.R . data.R . netinf.R . plot.R . simulate_cascades.R . summary.R . zzz.R . Full NetworkInference package functions and examples
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