From 38becae7e27308307186781b80846d93a8c38287 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Briatte?= Date: Mon, 17 Feb 2020 08:17:32 +0100 Subject: [PATCH] alphabetical ordering --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9ee3626..4d6c4cc 100755 --- a/README.md +++ b/README.md @@ -682,8 +682,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [latentnet](https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects. - [levelnet](https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: `bipartite` R package. - [lpNet](https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks. -- [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R. - [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats. +- [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R. - [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations. - [netrankr](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.