I AM SURPRISED. ALL of my data so far – in DATA-DRIVEN head categories (from my project connecting Wikipedia subcategories of interest to me together).

I AM SURPRISED.
ALL of my data so far – in DATA-DRIVEN head categories (from my project connecting Wikipedia subcategories of interest to me together).
 
I DID NOT EXPECT these groupings. They were ORGANIC clusters.* (definition at bottom)
 
Now, Wikipedia has their hierarchy which this is based upon but their hierarchy is not a simple outline format but rather each entity can have “multiple heads” – that is, be in multiple categories at once. So this makes for interesting, far-reaching connections, which is generally part of the whole MAGIC of “Hypertext”, the WWW etc and why it took over instead of the competitors like Gopher which were more outline-based.
 
 
* ORGANIC
Organic is a multi-purpose layout style for undirected graphs. It produces clear representations of complex networks and is especially fit for application areas such as
 
– Bioinformatics
– Enterprise networking
– Knowledge representation
– Systems management
– WWW visualization
The Organic Layouter is based on the force directed layout paradigm. When laying out a graph nodes are considered to be physical objects with mutually repulsive forces, like protons or electrons. The connections between nodes also follow the physical analogy and are considered to be metal springs attached to pairs of nodes. These springs produce repulsive or attractive forces between their endpoints if they are too short or too long. The layouter simulates these physical forces and rearranges the positions of the nodes in such a way that the sum of the forces emitted by the nodes and the edges reaches a (local) minimum.
 
Resulting layouts often expose the inherent symmetric and clustered structure of a graph, a well-balanced distribution of nodes, and few edge crossings.

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