Social Network Analysis with R
There is a tutorial on Network Analysis with package igraph by Gabor Csardi at http://igraph.sourceforge.net/igraphbook/. Although the tutorial is still under development, it provides some useful R code examples on
- directed and undirected graphs;
- creating regular graphs, incl. full graphs, stars, rings, lattices and trees;
- creating graphs from real-world data;
- various random graphs;
- importing and exporting graphs in various formats, such as edge list files and Pajek format;
- Vertex and edge sequences and their indexing; and
- network flows and minumum cuts.
Another online resource on R for Social Network Analysis is available at
http://www.stanford.edu/~messing/RforSNA.html.
An online textbook on Introduction to social network methods can be found at http://www.faculty.ucr.edu/~hanneman/nettext/.
- directed and undirected graphs;
- creating regular graphs, incl. full graphs, stars, rings, lattices and trees;
- creating graphs from real-world data;
- various random graphs;
- importing and exporting graphs in various formats, such as edge list files and Pajek format;
- Vertex and edge sequences and their indexing; and
- network flows and minumum cuts.
Another online resource on R for Social Network Analysis is available at
http://www.stanford.edu/~messing/RforSNA.html.
An online textbook on Introduction to social network methods can be found at http://www.faculty.ucr.edu/~hanneman/nettext/.
Drew Conway has also done a ton of work in this area and got me interested in this area some time ago.
Recently from R-Bloggers: http://www.r-bloggers.com/network-visualization-in-r-with-the-igraph-package/
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