The proposed survey discusses the topic of community detection in the context of Social
Media. Community detection constitutes a significant tool for the analysis of complex …

With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …

In social tagging systems, users have different purposes when they annotate items. Tags not
only depict the content of the annotated items, for example by listing the objects that appear …

Collaborative tagging services (folksonomies) have been among the stars of the Web 2.0
era. They allow their users to label diverse resources with freely chosen keywords (tags) …

Recent research provides evidence for the presence of emergent semantics in collaborative
tagging systems. While several methods have been proposed, little is known about the …

The ubiquity of social networking sites leads to the generation of rich social media content.
Community discovery is one of the significant tools in the analysis of social media data that …

Tags are an important information source in Web 2.0. They can be used to describe users'
topic preferences as well as the content of items to make personalized recommendations …

The paper presents a novel scheme for graph-based clustering with the goal of identifying
groups of related tags in folksonomies. The proposed scheme searches for core sets, ie …

Finding overlapping communities from multimedia social networks is an interesting and
important problem in data mining and recommender systems. However, extant overlapping …

State of the art image tagging systems are limited because they allow users to annotate
image tags in noun form, which cannot fully express the semantics of image content. In this …