Of course this data is difficult to understand, and at the Visual Math Institute, we are naturally predisposed to turn it into a visual display. Ignoring the very large self-synergy numbers found on the descending diagonal of this matrix, corresponding to the narcissism of university (and perhaps all) domains, we adopt a simple gray scale to represent the synergy data, from white (no synergy, or zero) to black (high synergy, above 45). The resulting gray scale image is shown in the figure, with the scale to the right. In this scale we have used only 10 shades of gray for pedagogical simplicity. In the application to larger subwebs, such as the nations of Europe, we will use a more refined color code.

Note that the image is only slightly more understandable than the numerical display of Table 3. And for a larger subnet, such as the 250 nations for which Alta Vista has data, the image would look more like a photograph of clouds. Even so, many interesting questions might arise from contemplation of the image. These questions are cybersociological, and we hope that cybersocal scientists will consider them. Our own approach, as presented in Webometry #1, is to admit that the synergy image is fractal, and resort to methods of fractal geometry to convert the image into another complimentary fractal, which represents directly the complexity of the web.