Hi Magnus, yupp, seen this a while ago and it's very cool for PageRank etc., but i was actually interested in more "general" node stats (not just pagelinks). I know there are many use cases where it doesn't make a lot of sense to base things on all properties of the knowledge model, but i still wanted to know the different distributions. They come in quite handy for machine learning as well to see how your ground truth nodes differ from random nodes.
Cheers, Jörn On 29 Jan 2015, at 14:08, Magnus Knuth <magnus.kn...@hpi.uni-potsdam.de> wrote: > Hi Jörn, > > we computed some graph measures based on the Wikipedia link structure. Using > the actual link structure seemed for a user’s perspective more appropriate > than the mapped properties. Therefore, we also had to clean up the page_links > dataset and computed Page Rank, HITS, Inlink and Outlink degree of each > article in Wikipedia. You can find the datasets for EN and DE, 3.9 and 2014 > DBpedia at [1]. > > Maybe, that helps. > > Best > Magnus > > [1] http://s16a.org/node/6 ------------------------------------------------------------------------------ Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Dbpedia-discussion mailing list Dbpedia-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
