

![0_image_0.png](0_image_0.png)

bioinformatics, imaging/video, software, networks, data processing & information retrieval, speech & language processing, virtual spaces, language & text, information security, and e-learning. Again this categorization of computer science can be contrasted with one derived for articles in recent years in the Computer Journal [9].

Figures 15, 16 and 17 show different facets of the Computer Science outcomes. By keeping the displays separate, we focus on one aspect at a time.

All displays however are based on the same list of themes, and so allow mutual comparisons. Note that the principal plane shown accounts for 9.5% + 8.9% of the inertia, hence 18.4% of the overall inertia, that in turn expresses information here. Although small, it is the best planar view of the data (arising from the χ 2 or chi squared metric, see Appendix, followed by the Euclidean embedding that the figures show). Ten themes were used, and what the 18.4% information content tells us is that there is importance attached to most if not all of the ten.

We are not prevented though in studying usefully the planar displays. That they can be used to display lots of supplementary data is a major benefit of their use.

What our analyses demonstrate is that the categories used are of crucial importance. Indeed, in Figures 10–14 and then in Figures 15–17, we see how we can "engineer" the impact of the categories by assimilating their importance to moments of inertia of the clouds of associated points.