Popular online communities and services such as Flickr, Youtube, Facebook or LinkedIn are spearheading an emerging type of information on the Web. This information is composed of classical textual and multimedia data, in concert with additional data (tags, annotations, comments, ratings). Perhaps most significantly, the information is overlaid on an explicit social network created by the participants of each of these communities. The result is a rich structure of inter-relationships between content items, participants and services. Although the size of such networks requires the use of advanced Information Retrieval techniques, classical IR models are not tailored for this type of content as they do not (in general) take advantage of the particular structure and unique aspects of this socially-driven content. This workshop proposes to report about the state-of-the-art in this direction and to gather a relevant panel of researchers working in the field. We look for contributions in all aspects of Information Retrieval over Social Networks, including:
All submitted papers will then be peer-reviewed by the workshop programme committee. The paper selection criteria are the same as that of the main conference. Submissions must be written in English following the ACM SIG Proceedings style, not exceeding 6 pages including references and figures. We target the edition of a Special Issue in a known IR journal as a result of the workshop.
The European NoE PeTaMedia