Awesome-Mirrors/awesome-network-analysis
1
0
Fork 0
mirror of https://github.com/briatte/awesome-network-analysis.git synced 2024-10-01 01:06:13 -04:00
Code Issues Packages Projects Releases Wiki Activity

Add graphlayouts

Browse Source
This commit is contained in:
François Briatte 2019-04-21 09:47:34 +02:00
parent 6151fc3433
commit dd61ebdd87
1 changed files with 2 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -649,6 +649,8 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [geomnet](https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with ggplot2.
- [ggnetwork](https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with ggplot2.
- [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2 (see also `tidygraph` further down).
- [graphlayouts](https://cran.r-project.org/package=graphlayouts) - Layout algorithms based on the concept of [stress majorization](https://doi.org/10.1007/978-3-540-31843-9_25).
- [Introducing graphlayouts with Game of Thrones](http://blog.schochastics.net/post/introducing-graphlayouts-with-got/)
- [hergm](https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
- [hierformR](https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.
- [igraph](http://igraph.org/r/) - A collection of network analysis tools.