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20042024
most citedRandom Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks

408 citations · 2.6k across the 52 of their papers we have counts for

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Showing 2015Show all

6 papers · 1 filter

physics.soc-ph2015★ 8 cited

Sensitivity analysis of a branching process evolving on a network with application in epidemiology

Sophie Hautphenne, Gautier Krings, Jean-Charles Delvenne +1

We perform an analytical sensitivity analysis for a model of a continuous-time branching process evolving on a fixed network. This allows us to determine the relative importance of…

physics.soc-ph2015★ 5 cited

Imperfect spreading on temporal networks

Martin Gueuning, Jean-Charles Delvenne, Renaud Lambiotte

We study spreading on networks where the contact dynamics between the nodes is governed by a random process and where the inter-contact time distribution may differ from the expone…

math.DS2015★ 3 cited

Gradient and Passive Circuit Structure in a Class of Non-linear Dynamics on a Graph

Herbert Mangesius, Jean-Charles Delvenne, Sanjoy K. Mitter

We consider a class of non-linear dynamics on a graph that contains and generalizes various models from network systems and control and study convergence to uniform agreement state…

physics.soc-ph2015★ 113 cited

Detecting communities using asymptotical Surprise

V. A. Traag, R. Aldecoa, J-C. Delvenne

Nodes in real-world networks are repeatedly observed to form dense clusters, often referred to as communities. Methods to detect these groups of nodes usually maximize an objective…

physics.soc-ph2015★ 408 cited

Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks

Renaud Lambiotte, Jean-Charles Delvenne, Mauricio Barahona

Most methods proposed to uncover communities in complex networks rely on combinatorial graph properties. Usually an edge-counting quality function, such as modularity, is optimized…

eess.SY2015★ 3 cited

The robustness of democratic consensus

Fabio Fagnani, Jean-Charles Delvenne

In linear models of consensus dynamics, the state of the various agents converges to a value which is a convex combination of the agents' initial states. We call it democratic if i…