408 citations · 2.6k across the 52 of their papers we have counts for
11 papers · 1 filter
Ellipsoidal embeddings of graphs
Michaël Fanuel, Antoine Aspeel, Michael T. Schaub +1
Due to their flexibility to represent almost any kind of relational data, graph-based models have enjoyed a tremendous success over the past decades. While graphs are inherently on…
Multi-scale Anomaly Detection on Attributed Networks
Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne
Many social and economic systems can be represented as attributed networks encoding the relations between entities who are themselves described by different node attributes. Findin…
Network constraints on the mixing patterns of binary node metadata
Matteo Cinelli, Leto Peel, Antonio Iovanella +1
We consider the network constraints on the bounds of the assortativity coefficient, which measures the tendency of nodes with the same attribute values to be interconnected. The as…
Unsupervised Network Embedding for Graph Visualization, Clustering and Classification
Leonardo Gutiérrez-Gómez, Jean-Charles Delvenne
A main challenge in mining network-based data is finding effective ways to represent or encode graph structures so that it can be efficiently exploited by machine learning algorith…
The anatomy of Reddit: An overview of academic research
Alexey N. Medvedev, Renaud Lambiotte, Jean-Charles Delvenne
Online forums provide rich environments where users may post questions and comments about different topics. Understanding how people behave in online forums may shed light on the f…
Structured networks and coarse-grained descriptions: a dynamical perspective
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
This chapter discusses the interplay between structure and dynamics in complex networks. Given a particular network with an endowed dynamics, our goal is to find partitions aligned…
Multiscale dynamical embeddings of complex networks
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
Complex systems and relational data are often abstracted as dynamical processes on networks. To understand, predict and control their behavior, a crucial step is to extract reduced…
Modelling structure and predicting dynamics of discussion threads in online boards
Alexey N. Medvedev, Jean-Charles Delvenne, Renaud Lambiotte
Internet boards are platforms for online discussions about a variety of topics. On these boards, individuals may start a new thread on a specific matter, or leave comments in an ex…
Different approaches to community detection
Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub +1
A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark ne…
Multiscale mixing patterns in networks
Leto Peel, Jean-Charles Delvenne, Renaud Lambiotte
Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting a…
The many facets of community detection in complex networks
Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall +1
Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since a precise notion of w…