408 citations · 2.6k across the 52 of their papers we have counts for
8 papers · 1 filter
Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks
Martin Gueuning, Sibo Cheng, Renaud Lambiotte +1
We study diffusion on a multilayer network where the contact dynamics between the nodes is governed by a random process and where the waiting time distribution differs for edges fr…
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…
Measuring the effect of node aggregation on community detection
Yérali Gandica, Adeline Decuyper, Christophe Cloquet +2
Many times the nodes of a complex network, whether deliberately or not, are aggregated for technical, ethical, legal limitations or privacy reasons. A common example is the geograp…
Multi-hop assortativities for networks classification
Leonardo Gutierrez Gomez, Jean-Charles Delvenne
Several social, medical, engineering and biological challenges rely on discovering the functionality of networks from their structure and node metadata, when it is available. For e…
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs
H. Van Lierde, T. W. S. Chow, J. -C. Delvenne
We propose two spectral algorithms for partitioning nodes in directed graphs respectively with a cyclic and an acyclic pattern of connection between groups of nodes. Our methods ar…
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…