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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 physics.soc-phShow all

20 papers · 1 filter

physics.soc-ph2021★ 24 cited

Flow stability for dynamic community detection

Alexandre Bovet, Jean-Charles Delvenne, Renaud Lambiotte

Many systems exhibit complex temporal dynamics due to the presence of different processes taking place simultaneously. An important task in such systems is to extract a simplified…

physics.soc-ph2020★ 1 cited

Severability of mesoscale components and local time scales in dynamical networks

Yun William Yu, Jean-Charles Delvenne, Sophia N. Yaliraki +1

A major goal of dynamical systems theory is the search for simplified descriptions of the dynamics of a large number of interacting states. For overwhelmingly complex dynamical sys…

physics.soc-ph2020★ 9 cited

State aggregations in Markov chains and block models of networks

Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne

We consider state-aggregation schemes for Markov chains from an information-theoretic perspective. Specifically, we consider aggregating the states of a Markov chain such that the…

physics.soc-ph2018

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…

physics.soc-ph2018★ 6 cited

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…

physics.soc-ph2017★ 6 cited

Entrograms and coarse graining of dynamics on complex networks

Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne

Using an information theoretic point of view, we investigate how a dynamics acting on a network can be coarse grained through the use of graph partitions. Specifically, we are inte…

physics.soc-ph2016★ 38 cited

Random Multi-Hopper Model. Super-Fast Random Walks on Graphs

Ernesto Estrada, Jean-Charles Delvenne, Naomichi Hatano +4

We develop a model for a random walker with long-range hops on general graphs. This random multi-hopper jumps from a node to any other node in the graph with a probability that dec…

physics.soc-ph2016★ 1 cited

Clean up or mess up: the effect of sampling biases on measurements of degree distributions in mobile phone datasets

Adeline Decuyper, Arnaud Browet, Vincent Traag +2

Mobile phone data have been extensively used in the recent years to study social behavior. However, most of these studies are based on only partial data whose coverage is limited b…

physics.soc-ph2016★ 151 cited

Graph partitions and cluster synchronization in networks of oscillators

Michael T. Schaub, Neave O'Clery, Yazan N. Billeh +3

Synchronization over networks depends strongly on the structure of the coupling between the oscillators. When the coupling presents certain regularities, the dynamics can be coarse…

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…

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…

physics.soc-ph2013★ 14 cited

Trade integration and trade imbalances in the European Union: a network perspective

Gautier M. Krings, Jean-François Carpantier, Jean-Charles Delvenne

We study the ever more integrated and ever more unbalanced trade relationships between European countries. To better capture the complexity of economic networks, we propose two glo…

physics.soc-ph2013★ 67 cited

The stability of a graph partition: A dynamics-based framework for community detection

Jean-Charles Delvenne, Michael T. Schaub, Sophia N. Yaliraki +1

Recent years have seen a surge of interest in the analysis of complex networks, facilitated by the availability of relational data and the increasingly powerful computational resou…

physics.soc-ph2012★ 239 cited

Exploring the Mobility of Mobile Phone Users

Balázs Cs. Csáji, Arnaud Browet, V. A. Traag +5

Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often…

physics.soc-ph2011★ 155 cited

Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit

Michael T. Schaub, Jean-Charles Delvenne, Sophia N. Yaliraki +1

In recent years, there has been a surge of interest in community detection algorithms for complex networks. A variety of computational heuristics, some with a long history, have be…

physics.soc-ph2010★ 90 cited

Flow graphs: interweaving dynamics and structure

R. Lambiotte, R. Sinatra, J. -C. Delvenne +3

The behavior of complex systems is determined not only by the topological organization of their interconnections but also by the dynamical processes taking place among their consti…

physics.soc-ph2008★ 14 cited

Stability of graph communities across time scales

J. -C. Delvenne, S. N. Yaliraki, M. Barahona

The complexity of biological, social and engineering networks makes it desirable to find natural partitions into communities that can act as simplified descriptions and provide ins…

physics.soc-ph2008★ 406 cited

Laplacian Dynamics and Multiscale Modular Structure in Networks

R. Lambiotte, J. -C. Delvenne, M. Barahona

Most methods proposed to uncover communities in complex networks rely on their structural properties. Here we introduce the stability of a network partition, a measure of its quali…