Graph theory provides a language for studying the structure of relations, and it is often used
to study interactions over time too. However, it poorly captures the intrinsically temporal and …

Since its first use by Euler on the problem of the seven bridges of Königsberg, graph theory
has shown excellent abilities in solving and unveiling the properties of multiple discrete …

Link streams model interactions over time, and a clique in a link stream is defined as a set of
nodes and a time interval such that all pairs of nodes in this set interact permanently during …

The strenuous mining and arduous discovery of the concealed community structure in
complex networks has received tremendous attention by the research community and is a …

Precise detection and identification of anomalous events in IP traffic are crucial in many
applications. This paper intends to address this task by adopting the link stream formalism …

While graph-based collaborative filtering recommender systems have been introduced
several years ago, there are still several shortcomings to deal with, the temporal information …

While graph-based collaborative filtering recommender systems have been introduced
several years ago, there are still several shortcomings to deal with, the temporal information …

We recently introduced a formalism for the modeling of temporal networks, that we call
stream graphs. It emphasizes the streaming nature of data and allows rigorous definitions of …

This paper aims at precisely detecting and identifying anomalous events in IP traffic. To this
end, we adopt the link stream formalism which properly captures temporal and structural …

Capturing both structural and temporal features of interactions is crucial in many real-world
situations like studies of contact between individuals. Using the link stream formalism to …