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Check statnet.org this is package for R for network analysis. I saw examples where this package was used to analyze social networks |
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Also consider Pajek, which is very nice program for first steps into the beauty of network analysis. |
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Check out JUNG (http://jung.sourceforge.net/). It has network/graph scoring algorithms such as HITS, PageRank, etc. For visualization have a look at GUESS (http://graphexploration.cond.org/). Both of these are Java based and open source. There's also gremlin (http://wiki.github.com/tinkerpop/gremlin/). It's got the standard set of algorithms and has a nice command-line interactive interface as well. It has a connector to work with JUNG algorithms. |
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SNAP which is C++ library and Network x which is a python library I usually try to prototype my algorithms in python using networkx and then implement them in C++ for large scale use. Both libraries are distributed by trusted sources, SNAP is distributed by a Stanford Research group while Networkx is from Lanl. Since Network analysis has seen extensive growth in its scope, it is difficult to find a single tool which does all tasks. You will mostly find libraries which can handle graphs / networks, and algorithms to analyze them. |
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ORA is a fully featured application for SNA. It can import a huge selection of common network formats, has a large collection of network measures, has a fully interactive and exploratory network visualizer, and can perform over time network analysis. Check it out here: ORA |
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I have found Gephi to be a wonderful analysis-cum-visualization tool and is open-source plus freely available. It works on Windows, Linux and MacOSX. The Gephi project has also been selected as a part of the Google Summer of Code(GSoC) for 2009 and 2010. |
