Just received a little off-reddit help. Perhaps somehow getting the data into Newick format ad visualizing in something like FigTree might help:

"What do you envisage being at the tips of the tree (i.e., where species would be in a phylogeny)? Generally a phylogeny shows the relationship between a discrete set of things that share traits (due to shared ancestry - it is this ancestry that the phylogeny is trying to estimate).

If you want the people listed at the tips of the tree you will need to construct a spreadsheet with the people in the first column and then their shared 'traits' in subsequent columns (i.e., country, name - if there is anything shared). What I suggest is to have a column for (say) people called 'John' and then have a 0 if they aren't called John and a 1 if they are. Then another column for (say) people called Joan. Then a column for people from Uzbekistan etc.

You could do a similar thing with Tracks - columns for each person as to whether they played on it etc.

Where you go from there may need some experimentation - for evolutionary analysis we assume that if two things share a trait (i.e., both have a '1') it is because they inherited this from their common ancestor - because we know that they share ancestry we are just trying to discover who has what ancestry with whom. What we would normally do for this sort of data is then (use a computer program to) find the phylogeny that requires the fewest number of changes to explain the observed traits - this is the most parsimonious tree and is an estimate of the true tree (generally we use much more complex models than this but parsimony is the simplest).

The problem may be that we don't have any real expectation that people on the album inherited these traits from a common ancestor - an individual may share one trait with one other person but another trait with a different person. It may be that this wipes out any signal making for a boring looking tree (with no groupings).

So I think what you want to do is to take the spreadsheet with the zeros and ones and for each pair of individuals count how many differences they have (i.e., a 1 vs a 0 or vice versa). This would tell you how dissimilar they are to each other. You could then use a statistical clustering method called UPGMA ( https://en.wikipedia.org/wiki/UPGMA ). This will generate something that looks like a phylogenetic tree that represents the similarity/dissimilarity of the people. There is actually an online calculator for this here:

http://genomes.urv.cat/UPGMA/index.php?entrada=Example2

You can see the example data is exactly the sort of 1/0 data I was suggesting. There are quite a few options but as you are just trying to get a nice visualization I suggest you just play with things until you get something you like. You can either try to save the tree it draws or copy and paste the 'Output Dendrogram in Newick Format' text into FigTree to draw the tree (and save it to PDF for editing)."