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