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 …

Information about the relative biodiversity value of different waterbody types is a vital pre-
requisite for many strategic conservation goals. In practice, however, exceptionally few inter …

Social bookmarking systems are becoming increasingly important data sources for
bootstrap** and maintaining Semantic Web applications. Their emergent information …

Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …

Collaborative tagging systems have nowadays become important data sources for
populating semantic web applications. For tasks like synonym detection and discovery of …

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 …

As the popularity of the web increases, particularly the use of social networking sites and
style sharing platforms, users are becoming increasingly connected, sharing more and more …

Collaborative tagging systems are now popular tools for organising and sharing information
on the Web. While collaborative tagging offers many advantages over the use of controlled …

We investigate the directed and weighted complex network of free word associations in
which players write a word in response to another word given as input. We analyze in details …

Discovering communities from networks is one of the important and challenging research
topics of social network analysis. Although Newman's modularity is often used for evaluating …