From 34816bcfa68446c5941dfee252fe689e2c500f26 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Franc=CC=A7ois?= Date: Sun, 17 Apr 2016 02:21:32 +0200 Subject: [PATCH] Ted G. Lewis, epidemic diffusion --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index f35b60d..837257f 100644 --- a/README.md +++ b/README.md @@ -60,6 +60,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes 1. _[Network Science](http://barabasilab.neu.edu/networksciencebook/downlPDF.html)_, by Albert-László Barabási - Full book online (2016). - _[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005). +- _[Network Science: Theory and Practice](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011). - _[Networks. An Introduction](http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010). - _[Networks, Crowds, and Markets: Reasoning About a Highly Connected World](http://www.cs.cornell.edu/home/kleinber/networks-book/)_, by David Easley and Jon Kleinberg - Full pre-publication draft (2010). - _[Réseaux sociaux et structures relationnelles](https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014). @@ -328,6 +329,7 @@ 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/web/packages/ndtv/) - Tools to construct animated visualizations of dynamic network data in various formats. - [network](https://cran.r-project.org/web/packages/network/) - Basic tools to manipulate relational data in R. +- [networkdiffusion](https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks. - [networkDynamic](https://cran.r-project.org/web/packages/networkDynamic/) - Support for dynamic, (inter)temporal networks. - [rgexf](https://bitbucket.org/gvegayon/rgexf/wiki/Home) - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma. - [Rgraphviz](https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html) - Support for using the Graphviz library and its DOT graph drawing language from within R.