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I find these network visualizations nice to look at, but not all that insightful. They're generally hard to read and track relations outside of the main cluster
by hooo 12y ago
I find these network visualizations nice to look at, but not all that insightful. They're generally hard to read and track relations outside of the main clusters. Am I missing something?
- th0ma5 12y agoNo I don't think so. A lot of people call these things "hairballs," and probably a more useful interface would be some kind of faceted browser that allows you to do pivots and look at aggregate stats of the various lenses you can put on top of a graph. Additionally, measurements such as node separation, "betweenness," or perhaps even looking at common chain patterns are probably more useful ways of trying to dissect graph structures.
- Chronic31 12y agoLet's say you compute how distant/similar two concepts are. Then what? You update a link on Wikipedia?
- th0ma5 12y agoYeah I don't know! :D I guess I was talking about graph processing in general: https://en.wikipedia.org/wiki/Betweenness_centrality https://en.wikipedia.org/wiki/Betweenness_centrality
- Real_S 12y agoYou might enjoy mapequation.org The methods used there are awesome! Also, open source with a great website.