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>.

Version: 1.0-0
Depends: R (≥ 3.1.1)
Imports: igraph, intergraph
Suggests: knitr, testthat
Published: 2018-10-19
Author: Michal Bojanowski [aut, cre], Bartosz Chrol [aut], National Science Centre [fnd] (grant 2012/07/D/HS6/01971)
Maintainer: Michal Bojanowski <michal2992 at gmail.com>
BugReports: https://github.com/recon-icm/linkprediction/issues
License: MIT + file LICENSE
URL: https://github.com/recon-icm/linkprediction
NeedsCompilation: no
Materials: README
CRAN checks: linkprediction results

Documentation:

Reference manual: linkprediction.pdf
Vignettes: Proximity-based Methods

Downloads:

Package source: linkprediction_1.0-0.tar.gz
Windows binaries: r-devel: linkprediction_1.0-0.zip, r-release: linkprediction_1.0-0.zip, r-oldrel: linkprediction_1.0-0.zip
macOS binaries: r-release (arm64): linkprediction_1.0-0.tgz, r-oldrel (arm64): linkprediction_1.0-0.tgz, r-release (x86_64): linkprediction_1.0-0.tgz

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