Package: linkprediction 1.0-1

linkprediction: Link Prediction Methods

Implementations of most of the existing proximity-based methods of link prediction in graphs. Among the 20 implemented methods are e.g.: Adamic L. and Adar E. (2003) <doi:10.1016/S0378-8733(03)00009-1>, Leicht E., Holme P., Newman M. (2006) <doi:10.1103/PhysRevE.73.026120>, Zhou T. and Zhang Y (2009) <doi:10.1140/epjb/e2009-00335-8>, and Fouss F., Pirotte A., Renders J., and Saerens M. (2007) <doi:10.1109/TKDE.2007.46>.

Authors:Michal Bojanowski [aut, cre], Bartosz Chrol [aut], National Science Centre [fnd]

linkprediction_1.0-1.tar.gz
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linkprediction.pdf |linkprediction.html✨
linkprediction/json (API)

# Install 'linkprediction' in R:
install.packages('linkprediction', repos = c('https://mbojan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/recon-icm/linkprediction/issues

Datasets:
  • uw - University of Warsaw co-authorship network

On CRAN:

5.23 score 12 stars 14 scripts 197 downloads 1 mentions 1 exports 11 dependencies

Last updated 11 months agofrom:a4c6a1b985. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:proxfun

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

Proximity-based Methods for Link Prediction

Bartosz Chroł (ICM, University of Warsaw), Michał Bojanowski (Kozminski University)

Rendered fromproxfun.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2018-10-11
Started: 2017-09-20