Analyzing Flickr groups

There is an explosion of community-generated multimedia content available online. In particular, Flickr constitutes a 200-million photo sharing system where users participate following a variety of social motivations and themes. Flickr groups are increasingly used to facilitate the explicit definition of communities sharing common interests, which translates into large amounts of content (e.g. pictures and associated tags) about specific subjects. However, to our knowledge, an in-depth analysis of user behavior in Flickr groups remains open, as does the existence of effective tools to find relevant groups. Using a sample of about 7 million userphotos and about 51000 Flickr groups, we present a novel statistical group analysis that highlights relevant patterns of photo-to-group sharing practices. Furthermore, we propose a novel topic-based representation model for groups, computed from aggregated group tags. Groups are represented as multinomial distributions over semantically meaningf...

• Type: Conference
• Year: 2008
• Where: CIVR
• Authors: Radu Andrei Negoescu, Daniel Gatica-Perez
• Keywords: CIVR 2008, Flickr Groups, Image Analysis, Relevant Groups, Unsupervised Probabilistic Topic