63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de BourgogneFR10 papers
- Laboratoire d’Électronique, Informatique et ImageFR3 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Institut Agro DijonFR1 paper
- Institute of Mathematics, Physics, and MechanicsSI1 paper
- Institut National des Sciences Appliquées de LyonFR1 paper
- LabEx PERSYVAL-LabFR1 paper
- Laboratoire d'Électronique, Antennes et TélécommunicationsFR1 paper
- Laboratoire Interdisciplinaire Carnot de BourgogneFR1 paper
- Lebanese UniversityLB1 paper
- Lyon 1 UniversitéFR1 paper
- Macao Polytechnic UniversityMO1 paper
6 papers · 1 filter
Grand Dyck paths with air pockets
Jean-Luc Baril, Sergey Kirgizov, Rémi Maréchal +1
Grand Dyck paths with air pockets (GDAP) are a generalization of Dyck paths with air pockets by allowing them to go below the -axis. We present enumerative results on GDAP (or t…
On List Coloring with Separation of the Complete Graph and Set System Intersections
Jean-Christophe Godin, Rémi Grisot, Olivier Togni
We consider the following list coloring with separation problem: Given a graph and integers , find the largest integer such that for any list assignment of wit…
Comparative evaluation of community-aware centrality measures
Stephany Rajeh, Marinette Savonnet, Eric Leclercq +1
Influential nodes play a critical role in boosting or curbing spreading phenomena in complex networks. Numerous centrality measures have been proposed for identifying and ranking t…
Identifying Influential Nodes Using Overlapping Modularity Vitality
Stephany Rajeh, Marinette Savonnet, Eric Leclercq +1
It is of paramount importance to uncover influential nodes to control diffusion phenomena in a network. In recent works, there is a growing trend to investigate the role of the com…
Comparing Community-aware Centrality Measures in Online Social Networks
Stephany Rajeh, Marinette Savonnet, Eric Leclercq +1
Identifying key nodes is crucial for accelerating or impeding dynamic spreading in a network. Community-aware centrality measures tackle this problem by exploiting the community st…
How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?
Stephany Rajeh, Marinette Savonnet, Eric Leclercq +1
Unlike classical centrality measures, recently developed community-aware centrality measures use a network's community structure to identify influential nodes in complex networks.…