1 citations · 1 across the 3 of their papers we have counts for
5 papers
Measuring Diversity in Heterogeneous Information Networks
Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphael Fournier-S'niehotta +3
Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gainin…
Link weights recovery in heterogeneous information networks
Hong-Lan Botterman, Robin Lamarche-Perrin
Socio-technical systems usually consists of many intertwined networks, each connecting different types of objects (or actors) through a variety of means. As these networks are co-d…
Multidimensional Outlier Detection in Temporal Interaction Networks: An Application to Political Communication on Twitter
Audrey Wilmet, Robin Lamarche-Perrin
In social network Twitter, users can interact with each other and spread information via retweets. These millions of interactions may result in media events whose influence goes be…
Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream
Audrey Wilmet, Tiphaine Viard, Matthieu Latapy +1
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 structur…
An Information-theoretic Framework for the Lossy Compression of Link Streams
Robin Lamarche-Perrin
Graph compression is a data analysis technique that consists in the replacement of parts of a graph by more general structural patterns in order to reduce its description length. I…