linkprediction
1.0-0Link Prediction Methods
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
Repository
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/recon-icm/linkprediction on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0-0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2018-10-19
- Total releases
- 1 / 8 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.1.1
- Download size
- 279 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet