Research Communities show a variety of social relationships (co-authorship of publications, co-organization of conferences and workshops, editorial activities for books, journals and conference proceedings, collaboration in research projects) which can be used for community detection, analysis of hot research trends, recommendation of partners for new activities, and many other interesting applications. The aim of this project is to establish the robust and scalable infrastructure for analysis and exploration of research relationships.
Conceptually, the project will include implementation and evaluation of large-scale analysis methods for social graphs, construction of community browsing / partner recommendation applications, as well as integration of these features with existing community portals (such as DBLP and SiteSeer)
Existing close cooperations with data providers of the CS research community (in particular, DBLP in Trier) open challenging opportunities to discuss ideas with leading experts in publication databases, Social Web, and Web retrieval, and to experiment with "real" scientific databases at large (e.g. in form of short-term research visits). This work will be done in the context and with support of the special interest group on Web Science (4cats) at ISWeb.