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This post explains how to compute a correlation matrix and display the result as a network chart using R and the igraph package.

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plot(hclust_avg) rect.hclust(hclust_avg , k = 3, border = 2:6) abline(h = 3, col = 'red'). Now you can see the three clusters enclosed in three different colored boxes. You can also use the color_branches...

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What is R? Based on: ACM award-winning S language (core of commercial S-PLUS). Early 1990s:Ross Ihaka and Robert Gentleman start reimplementation, eventually called R. Since 1997:

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Communities in igraph Massimo Franceschet. We work with a social network of friendships between 34 members of a karate club at a US university in the 1970s.

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hclust(d, method, ...) hierarchical cluster analysis on a set of dissim- ... (igraph, sna) get.adjlist() adjacency lists for edges or vertices (igraph)

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igraph provides a bunch of different layout algorithms which are used to place nodes in the plot.. A good one to start with for a weighted network like this is the force-directed layout (implemented by layout.fruchterman.reingold in igraph).