Abstract
The paper studies the problem of community detection
in tag networks, i.e. networks consisting of associations
between tags that are used within Social Tagging Sys-
tems (STS) to annotate online resources (e.g. book-
marks, pictures, videos, etc.). Community detection
methods aim at uncovering densely connected groups
of tags, which can reveal the topic structure emerging
in the STS. In this way, community detection in tag
networks leverages Collective Intelligence (CI), that is
the intelligence that is accumulated as a result of the
collective activities of masses of users.
Users
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