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Vincent D. Blondel

Researcher at Université catholique de Louvain

Publications -  233
Citations -  42116

Vincent D. Blondel is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Joint spectral radius & Spectral radius. The author has an hindex of 64, co-authored 232 publications receiving 37473 citations. Previous affiliations of Vincent D. Blondel include French Institute for Research in Computer Science and Automation & University of Liège.

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Journal ArticleDOI

Fast unfolding of communities in large networks

TL;DR: This work proposes a heuristic method that is shown to outperform all other known community detection methods in terms of computation time and the quality of the communities detected is very good, as measured by the so-called modularity.
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Fast unfolding of communities in large networks

TL;DR: In this paper, the authors proposed a simple method to extract the community structure of large networks based on modularity optimization, which is shown to outperform all other known community detection methods in terms of computation time.
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Unique in the Crowd: The privacy bounds of human mobility

TL;DR: It is found that in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier's antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals.
Proceedings ArticleDOI

Convergence in Multiagent Coordination, Consensus, and Flocking

TL;DR: An old distributed algorithm for reaching consensus that has received a fair amount of recent attention is discussed, in which a number of agents exchange their values asynchronously and form weighted averages with (possibly outdated) values possessed by their neighbors.
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Survey A survey of computational complexity results in systems and control

TL;DR: This paper considers problems related to stability or stabilizability of linear systems with parametric uncertainty, robust control, time-varying linear systems, nonlinear and hybrid systems, and stochastic optimal control.