Add netrankr

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François Briatte 2019-04-21 10:00:48 +02:00
parent a0567f930c
commit d9aa2f6c47

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@ -663,6 +663,10 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [networkD3](http://christophergandrud.github.io/networkD3/) - D3 JavaScript network graphs from R.
- [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
- [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
- [netranker](https://cran.r-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
- [Network Centrality in R: An Introduction](http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages.
- [Network Centrality in R: Neighborhood Inclusion](http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).
- [Network Centrality in R: New Ways of Measuring Centrality](http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).
- [NetSim](http://www.christoph-stadtfeld.com/netsim/) - Simulate and combine micro-models to research their impact on the macro-features of social networks.
- [network](https://CRAN.R-project.org/package=network) - Basic tools to manipulate relational data in R.
- [networkdiffusion](https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks.