activity
20052026
most citedFast unfolding of communities in large networks

21.7k citations · 31.6k across the 143 of their papers we have counts for

collaborators
Showing 2016 · physics.soc-phShow all

9 papers · 2 filters

physics.soc-ph2016★ 670 cited

Random walks and diffusion on networks

Naoki Masuda, Mason A. Porter, Renaud Lambiotte

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical and practical perspectives. They are one of the most fundamental types of stochastic pro…

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-ph2016★ 14 cited

Stationarity of the inter-event power-law distributions

Yerali Gandica, Joao Carvalho, Fernando Sampaio Dos Aidos +2

A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of ev…

physics.soc-ph2016★ 82 cited

Structural Transitions in Dense Networks

R. Lambiotte, P. L. Krapivsky, U. Bhat +1

We introduce an evolving network model in which a new node attaches to a randomly selected target node and also to each of its neighbors with probability . The resulting network…

physics.soc-ph2016★ 18 cited

Onset of anomalous diffusion from local motion rules

Sarah de Nigris, Timoteo Carletti, Renaud Lambiotte

Anomalous diffusion processes, in particular superdiffusive ones, are known to be efficient strategies for searching and navigation by animals and also in human mobility. One way t…

physics.soc-ph2016★ 19 cited

Input-output relationship in social communications characterized by spike train analysis

Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi +1

We study the dynamical properties of human communication through different channels, i.e., short messages, phone calls, and emails, adopting techniques from neuronal spike train an…

physics.soc-ph2016★ 14 cited

Burstiness and fractional diffusion on complex networks

Sarah De Nigris, Anthony Hastir, Renaud Lambiotte

Many dynamical processes on real world networks display complex temporal patterns as, for instance, a fat-tailed distribution of inter-events times, leading to heterogeneous waitin…

physics.soc-ph2016★ 8 cited

On the origin of burstiness in human behavior: The wikipedia edits case

Yerali Gandica, Joao Carvalho, Fernando Sampaio Dos Aidos +2

A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of this process generate time series of event…

physics.soc-ph2016★ 44 cited

Using higher-order Markov models to reveal flow-based communities in networks

Vsevolod Salnikov, Michael T. Schaub, Renaud Lambiotte

Complex systems made of interacting elements are commonly abstracted as networks, in which nodes are associated with dynamic state variables, whose evolution is driven by interacti…