Report of Socialcom2012 online in our new WeST blog

Rene — Thu, 20 Sep 2012 06:31:33 +0000

Hey everyone,
longtime no see! Well yeah the summer time usually means vaccation and traveling and so on. But I also have been busy creating some cool content and visiting some conference!
So first of all together with my friend Leon Kastler I have established our new WeST Blog. The goal is to be more transparent with the research of our institute! Quite some people in our institute already shared some nice information. So why don’t you give our blog a try and follow it at:
http://blog.west.uni-koblenz.de/
Since our institute now has its own blog I will in future publish some of my articles over there and will just point to them from this blog. This will happen especially if the content of the articles is founded by research money from our institute. So my presentation at SocialCom 2012 is most certainly founded by our institute so thats why you can read my summery together with some suggestions of interesting paper at my article:
http://blog.west.uni-koblenz.de/2012-09-20/west-researchers-summary-of-socialcom-2012-in-amsterdam/

Download network graph data sets from Konect – the koblenz network colection

Rene — Mon, 26 Sep 2011 14:14:13 +0000

UPDATE: now with link to the PhD thesis. By the time of blogging the thesis was not published. thanks to Patrick Durusau for pointing out the missing link.
One of the first things I did @ my Institute when starting my PhD program was reading the PhD thesis of Jérôme Kunegis. For a mathematician a nice piece of work to read. For his thesis he analayzed the evolution of networks. Over the last years Jérôme has collected several (119 !) data sets with network graphs. All have different properties.
He provides the data sets and some basic statistics @ http://konect.uni-koblenz.de/networks
Sometimes edges are directed, somtimes they have timestamps somtimes even content. Some graphs are bipartite and the graphs come from different application domains such as trust, social networks, web graphs, co citation, semantic, features, ratings and communications…
Jérôme also has calculated some metrics such as degree distributions and eigenvalue distributions for all these data sets and provides links to the sources. For most of the time he also states the paper for which these data sets have been created.
Over all the Koblenz network collection is a very nice data set for everyone who wants to do a PhD and wants to do analysis of graphs or do data mining or just needs some data sets for evaluation and testing! I am excited to see how this site will evolve over time and want to thank Jérôme for making this data available!

west – Data Science, Data Analytics and Machine Learning Consulting in Koblenz Germany

Report of Socialcom2012 online in our new WeST blog

Download network graph data sets from Konect – the koblenz network colection