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copied!<p>Well, the most widely used implementations of the original Association Rules algorithm (originally developed at IBM Almaden Research Center) are Apriori, and Eclat, in particular, the C implementations by Christian Borgelt.</p> <p>(Brief summary for anyone not familiar with Association Rules (aka "Frequent Items Sets", or "Market Basket Analysis"). The prototype application for Association Rules is analyzing consumer transactions, e.g., supermarket data: Among shoppers who buy polish sausage what percentage of those also also purchase black bread?) </p> <p>I would recommend the statistical platform, <a href="http://www.R-project.org/" rel="nofollow">R.</a> It is free and open source, and its package repository contains (at least) four libraries directed solely to Association Rules, all with excellent documentation--three of the four Packages include a Manual and a separate <em>Vignette</em> (informal prose document with code examples). Both the Manuals and Vignettes contain numerous examples in R code.</p> <p>I have used three of the four Packages below and i can recommend those three highly. Among them are bindings for Eclat and Apriori. These libraries are distributed as R 'Packages', which are available on <a href="http://mirrors.softliste.de/cran/" rel="nofollow">CRAN</a>, R's primary Package repository. Basic installation and setup of R is trivial--there are binaries for Mac, Linux, and Windows, available from the link above. Likewise, Package installation/integration is as simple as you would expect from an integrated platform (though not every one of the four Packages listed below have binaries for every OS though).</p> <p>So on <em>CRAN</em>, you will find these Packages all directed solely Association Rules:</p> <ul> <li><p><a href="http://R-Forge.R-project.org/projects/arules/" rel="nofollow"><strong><em>arules</em></strong></a></p></li> <li><p><em><strong>arulesNBMiner</em></strong></p></li> <li><p><em><strong>arulesSequences</em></strong></p></li> <li><p><a href="http://r-forge.r-project.org/projects/arulesviz/" rel="nofollow"><strong><em>arulesViz</em></strong></a></p></li> </ul> <p><br/>This set of four R Packages is comprised of R bindings for four different Association Rules implementations, as well as a visualization library. </p> <p>The first package, <em>arules</em>, includes R bindings for Eclat and Apriori. The second, <em>arulesNBMiner</em>, is the bindings for Michael Hahsler's Association Rules algorithm <strong><em>NB-frequent itemsets</em></strong> by . The third, <em>arules Sequences</em>, is the bindings for Mohammed Zaki's <strong><em>cSPADE</em></strong> .</p> <p>The last of these is particularly useful because it is a visualization library for plotting the output from any of the previous three packages. For your social network study, i suspect you will find the graph visualization--i.e., explicit visualization of the nodes (users in the data set) and edges (connections between them).</p>

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