Announcing KONECT.cc – New Website and New Features

It’s been a while since I have blogged about KONECT – the Koblenz Network Collection, and much has happened.  We have implemented many new features, which we want to share with all of you.  But the most important news first is that we have a new address:

http://konect.cc/

Screenshot from 2017-11-08 11:31:16

→ New KONECT Website at KONECT.cc

We finally managed to have a proper domain associated with the project.  The old URLs are still accessible, but they are massively out of date, and may be taken down in the future – we suggest you update your bookmarks and links to the new address.  URLs are mostly the same as with the old site, so for instance the Slashdot Zoo dataset can still be found at http://konect.cc/networks/slashdot-zoo/ – just replace the domain name.  Some other pages have changed however, in particular we now removed the publications page which was massively out of date.  You can now see a list of papers citing us at Google Scholar instead.

The new website is now 100% generated with Stu 2.5.  What this means is that it is now much easier for us to add things to the website.  The list of statistics and the list of plots are now generated completely automatically, and now includes *everything* we compute, and not just a subset chosen for the website.  We also added a list of categories, which shows all 23 (as of now) categories such as social networks, hyperlink networks, etc.  We have quite a few more features that will be added in the next weeks and months – we will be announcing these on the @KONECTproject Twitter feed.

Adding new datasets is now also streamlined, and quite a few datasets have been added recently.  In particular, we added many datasets from Wikipedia, which brings the total dataset count over a thousand, but also skews the whole collection.  The long-term solution to that is of course to add even more datasets, to make it irrelevant.

What it means for you is:  Keep on sending us new datasets (see how to), and keep on sending us feedback to <jerome.kunegis@unamur.be>.

This week, Jérôme Kunegis is at CIKM 2017 in Singapore, and will give a tutorial on data mining large network dataset collections such as KONECT on Friday (Room “Ocean 9”) – don’t miss this out if you’re at CIKM!

 

 

 

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