Research on social side of Wikipedia
We extract social networks from participation of users in Wikipedia (for example, from edits to other user Talk Pages). It is open source and you can find the source code at http://github.com/phauly/wiki-network
You can find released datasets at http://sonetlab.fbk.eu/data/
It is open source and you can find the source code at https://github.com/volpino/Manypedia
WikiTrip is an interactive web tool empowering its users by providing an insightful visualization of two kinds of information about the Wikipedians who edited the selected page: their location in the world and their gender.
It is open source and you can find the source code at https://github.com/volpino/wikipedia-timeline
Taolin is an open source Web desktop. The web desktop consists of a personal dashboard customisable by adding micro-applications called widgets.
Each widget offers a different service that can be provided as a view over internal services or repositories (e.g. access to papers repository) or as a communication service (e.g. jabber web chat) or as an external resource (e.g. Google search).
It is open source and you can find the source code at https://github.com/phauly/taolin
With Nevede, you can easily schedule an event.
No more tons of organizational emails among participants cluttering your inbox!
- You create an event.
- Each participant goes to the event web page and expresses her/his availability.
- The web page gives a quick view on the best timeslot for the meeting.
- Bing! Everybody meets at the agreed timeslot.
It is open source and you can find the source code at https://github.com/vad/django-nevede
Dycapo will be an open client (mobile)/server system that will improve travel experiences of users in a city.
The system will let people to define a destination on their mobile phone. DyCaPo will suggest and arrange trips by either using the Public Transport Service or Carpooling volunteers.
That is, DyCaPo will implement full Dynamic Carpooling functionalities as well as static approaches.
It is open source and you can find the source code at http://dycapo.org
Trust networks datasets (extracted from Epinions, Advogato and more) has been released.