Fil will present the paper Folks in folksonomies: Social link prediction from shared metadata (authored with Rossano Schifanella, Alain Barrat, Ciro Cattuto, and Ben Markines) at WSDM 2010 in New York on February 5. The paper discusses homophily, or more specifically the relationship between social connections and social tagging in folksonomies. We show that social similarity measures based on annotations can be effective predictors of friendship relationships. For the occasion, we are making our Last.fm dataset publicly available.
Tag Archives: folksonomy
Fil Menczer is one of the organizers of Hypertext 2009, the 20th ACM Conference on Hypertext an Hypermedia. The conference will be held June 29-July 1 at the Villa Gualino Convention Centre, on the hills overlooking Torino, Italy. Hypertext is the main venue for high quality peer-reviewed research on “linking.” The Web, the Semantic Web, the Web 2.0, and Social Networks are all manifestations of the success of the link. With a 70% increase in submissions, Hypertext 2009 will have a strong and diverse technical program covering all research concerning links: their semantics, their presentation, the applications, as well as the knowledge that can be derived from their analysis and their effects on society. The conference will also feature demos, posters, a student research competition, four workshops, and keynotes by Lada Adamic and Ricardo Baeza-Yates.
Spotting the Patterns that Information Makes
Research and Creativity Activity profiles research by CNetS faculty Filippo Menczer and Alessandro Vespignani and their groups in a special issue on networks. More…
NSF award to fund research on the social Web
Fil Menczer recently received a $500,000 grant from the National Science Foundation to investigate the Social Integration of Semantic Annotation Networks for Web Applications. The project brings together complex networks and Web mining techniques to develop a new generation of search engines and collaborative Web applications such as GiveALink.org. The researchers will leverage existing annotations from users (such as the bookmarks they already maintain on their browsers) and elicit new ones through useful tools and games. The research will lead to a framework for building and maintaining socio-semantic networks of relationships between, and among, users, tags, and Web sites. In the end, these networks will improve social Web applications such as search, recommendation, spam detection, and exploratory navigation interfaces. More…