The second generation of World Wide Web, supplied with the platforms of Social Networks,
proves to be a revealing source of knowledge. It has led to the emergence of online …

In recent years due to the rise of social, biological, and other rich content graphs, several
new graph clustering methods using structure and node's attributes have been introduced …

In some applications and in order to address real-world situations better, data may be more
complex than simple numerical vectors. In some examples, data can be known only through …

Recommender systems (RSs) are software tools and techniques dedicated to generate
meaningful suggestions about new items (products and services) for particular customers …

Community detection techniques use only the information about the network topology to find
communities in networks. Similarly, classic clustering techniques for vector data consider …

Real social networks can be described using two dimensions: first a structural dimension
that contains the social graph, eg the actors and the relationships between them, and …

Detecting communities of interest is a complex problem that has been addressed from
different perspectives. In this work, we propose a user-centered approach incorporating …

Complex systems surround us in our everyday lives and their understanding can bring
crucial insights into many fields. These systems consist of components (also known as …

In recent years due to the rise of social, biological, and other rich content graphs, several
new graph clustering methods using structure and node's attributes have been introduced …

Alors que les réseaux sociaux s' attachaient à représenter des entités et les relations qui
existaient entre elles, les réseaux d'information intègrent également des attributs décrivant …