In this part I will present an analysis of the data presented on part 2. Below are some charts which I will comment on at the bottom of the post. The analysis is strictly related to this simple scenario.
General data for both searches (blog and news)

Chart 1: entries per day (with all key words combined)

Chart 2: entries per day of the week (all keywords combined)
Blog search

Chart 3: entries per day (broken down by subscription)

Chart 4: ratio between unique and repeated entries

Chart 5: preselections and bookmarks per day, next to unique and total entries
News search

Chart 6: entries per day (broken down by subscription)

Chart 7: ratio between unique and repeated entries

Chart 8: preselections and bookmarks per day, next to unique and total entries
Some obvious things first
Observing charts 3 and 6, where the number of new feeds per day are broken down into the specific searches, say, “dissemination knowledge culture web 2.0″ and “culture 2.0″, we can notice that the less keywords used, at least in this very specific scenario, the higher the number of results achieved. This should not by any means come as a surprise, as it is also with their results: less keywords yield more general results.
Gruhl et al. [1] have found in a study about information diffusion of information through the blogosphere, in which they analyzed a set of 401.021 postings, with an average of 2k-10k posts per day, among 11,804 RSS feeds, that weekends are low in intensity while midweek peak. As my humble observation shows, this is also the case here.
Number of unique entries
When comparing charts 4 and 7, one can clearly notice that the blog search turn up a much higher ratio of unique entries: 81.5 % of the blog search feeds where unique, whereas only about half of the news feeds (56.85%) where not repeated. I assume that this has to do with how many blogs there are in the blogosphere, compared to the rather limited universe of news providers searched by Google. What I also realized during the collection phase, is that many news feeds tend to be repeated during 1-2 cycle, therefore showing up in the next day of collection. Naturally, the set of keywords, which is progressively reduced in complexity but still with some of the same words, the results showed within the more complex ones (with more words) are likely to be shown also on those of lower complexity (with less words).
Preselections and bookmarks
Charts 5 and 8 show the number of preselections and bookmarks for both the blog and news searches. Here is clear that the blogosphere is a much more fertile ground when it comes to results. Of all unique entries, 18.16 % of the blog feeds were preselected for further reading (adding star in Google Reader), while only 9.04 % of the news feeds have resulted in preselections. In relation to the total amout of entries (unique and non-unique), this difference becomes even more blatant: 14.80% of all blog search feeds became preselections, and as opposed to a third of that (5.14%) in the news search.
Bookmarks stretch the difference even further. In the blog search the number of bookmarked entries is of 6.69 % of all unique entries and 5.45 % of all entries. This figures are 2.11% and 1.20% for the news search respectively. That means that the blog searcher returns nearly 3 times more of bookmarks than the news search, and almost 5 times as much when all the entries are taken into consideration.
[1] D. Gruhl, R. V. Guha, D. Liben-Nowell, and A. Tomkins. Information di®usion through blogspace.
In WWW, pages 491{501, 2004.