This item is a Paper in the Social Networks and Web 2.0 track.
We analyse the corpus of user relationships of the Slash-
dot technology news site. The data was collected from the
Slashdot Zoo feature where users of the website can tag other
users as friends and foes, providing positive and negative en-
dorsements. We adapt social network analysis techniques to
the problem of negative edge weights. In particular, we con-
sider signed variants of global network characteristics such as
the clustering coefficient, node-level characteristics such as
centrality and popularity measures, and link-level character-
istics such as distances and similarity measures. We evaluate
these measures on the task of identifying unpopular users,
as well as on the task of predicting the sign of links and show
that the network exhibits multiplicative transitivity which
allows algebraic methods based on matrix multiplication to
be used. We compare our methods to traditional methods
which are only suitable for positively weighted edges.
Fun web stuff for this record
- RKBExplorer (from linked data workshop)
- URI: http://eprints.rkbexplorer.com/id/www2009/eprints-75
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- REST Interface
- ORE Resource Map
- ORE was described in the Linked Data Workshop. View Resource Map
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About this site
This website has been set up for WWW2009 by Christopher Gutteridge of the University of Southampton, using our EPrints software.
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It's impractical to add all the workshops at WWW2009 by hand, but if you can provide me with the metadata in a machine readable way, I'll have a go at importing it. If you are good at slinging XML, my ideal import format is visible at http://www2009.eprints.org/import_example.xml
We (Southampton EPrints Project) intend to preserve the files and HTML pages of this site for many years, however we will turn it into flat files for long term preservation. This means that at some point in the months after the conference the search, metadata-export, JSON interface, OAI etc. will be disabled as we "fossilize" the site. Please plan accordingly. Feel free to ask nicely for us to keep the dynamic site online longer if there's a rally good (or cool) use for it...
- WWW2009 EPrints supports OAI 2.0 with a base URL of http://www2009.eprints.org/cgi/oai2
- The JSON URL is http://www2009.eprints.org/cgi/json?callback=function&eprintid=number
To prevent google killing the server by hammering these tools, the /cgi/ URL's are denied to robots.txt - ask Chris if you want an exception made.
Feel free to contact me (Christopher Gutteridge) with any other queries or suggestions. ...Or if you do something cool with the data which we should link to!
These are not directly related to the EPrints set up, but may be of use to delegates.
- Social tool links
- I've put links in the page header to the WWW2009 stuff on flickr, facebook and to a page which will let you watch the #www2009 tag on Twitter. Not really the right place, but not yet made it onto the main conference homepage. Send me any suggestions for new links.