The increasingly popular web 2.0 sites provide the largest social network ever analyzed-
users are now considered as plain web resources. Some researchers apply classical …

In this chapter we present our approach to analyzing such semantic social networks and
capturing collective intelligence from collaborative interactions to challenge requirements of …

While photo sharing sites such as Flickr provide efficient tools for setting up an online album,
users who want to maintain a certain level of privacy are usually only provided with …

Social tagging systems have recently became very popular as a means to classify large sets
of resources shared among on-line communities over the social Web. However, the …

Tagging has proven to be a successful and efficient way for creating metadata through a
human collective intelligence. It can be considered not only an application of individuals for …

Web-based knowledge systems support an impressive and growing amount of information.
Among the difficulties faced by these systems is the problem of overwhelming the user with a …

This work represents a survey of the social network analysis problem. There are four main
approaches: structural, resource-based, regulatory, and dynamic. To solve the problems in …

The availability of tag-based user-generated content for a variety of Web resources (music,
photos, videos, text, etc.) has largely increased in the last years. Users can assign tags freely …

In this paper we present the novel paradigm of Social Semantic Bookmarking. Social
Semantic Bookmarking combines the positive aspects of semantic annotation with those of …

The scale of the social web has integrated users in order to organize shared resources.
Users freely associate keywords (tags) to resources. This collection of tags creates a …