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David Ness identifies several potential problems with graph visualizations:
Of course, if we limit ourselves to certain classes of "concepts" (does this also imply a reduction in dimensionality?), concept closeness metrics are indeed attainable (Collaborative Filtering data — amzn-vista, "Connectedness" of People, Organizations and Artifacts — much of my VanillaSpace). Generic concept visualization indeed is hard and its value rather questionable (even to me).
The problem of Reduction of Dimensionality can, while not be removed from mapping activities completely, be alleviated by introducing more dimensions of expression into the display (color-, size-coding etc. in addition to position "coding").
En plus, fascination never is quite approachable in a rational way, is it?
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