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Article
Open AccessTemporal network compression via network hashing
Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic spreading or information cascades, evolving on top of them. The...
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Chapter and Conference Paper
Mosaic Benchmark Networks: Modular Link Streams for Testing Dynamic Community Detection Algorithms
Community structure is a critical feature of real networks, providing insights into nodes’ internal organization. Nowadays, with the availability of highly detailed temporal networks such as link streams, stud...
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Chapter and Conference Paper
Graph Diffusion Wasserstein Distances
Optimal Transport (OT) for structured data has received much attention in the machine learning community, especially for addressing graph classification or graph transfer learning tasks. In this paper, we pres...
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Chapter
Transformation from Graphs to Signals and Back
Network science has been a rapidly evolving field to study systems made of interactions between entities. Studying the structure of such networks reveals indeed the underlying mechanisms of these systems, and ...
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Article
Open AccessMulti-scale structural community organisation of the human genome
Structural interaction frequency matrices between all genome loci are now experimentally achievable thanks to high-throughput chromosome conformation capture technologies. This ensues a new methodological chal...
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Chapter and Conference Paper
Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model
Null models have many applications on networks, from the significance of observations to the conception of algorithms such as community detection. They usually preserve some network properties, such as degre...
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Article
Sensitivity of predictions in an effective model: Application to the chiral critical end point position in the Nambu-Jona-Lasinio model
The measurement of the position of the chiral critical end point (CEP) in the QCD phase diagram is under debate. While it is possible to predict its position by using effective models specifically built to rep...
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Chapter and Conference Paper
Constrained Graph Resampling for Group Assessment in Human Social Networks
The increasing availability of time—and space—resolved data of human activities and interactions gives insight into the study of both static and dynamic properties of human behavior. In practice, nevertheless,...
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Chapter
A Dynamical Network View of Lyon’s Vélo’v Shared Bicycle System
Community shared bicycle systems are an instance of public transportation systems that provide digital footprints of all the movements made using this system. The completeness of such dataset allows for their ...
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Article
Foreword to the special issue on traffic modeling, its computations and applications
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Article
Revisiting an old friend: on the observability of the relation between long range dependence and heavy tail
Taqqu’s Theorem plays a fundamental role in Internet traffic modeling, for two reasons: First, its theoretical formulation matches closely and in a meaningful manner some of the key network mechanisms controll...
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Chapter and Conference Paper
Characteristics of the Dynamic of Mobile Networks
We propose in this paper a novel framework for the study of dynamic mobility networks. We address the characterization of dynamics by proposing an in-depth description and analysis of two real-world data sets....
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Chapter and Conference Paper
Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory
Network traffic classification and anomaly detection have received much attention in the last few years. However, due to the the lack of common ground truth, proposed methods are evaluated through diverse proc...
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Article
Une caractérisation non gaussienne et à longue mémoire du trafic Internet et de ses anomalies: validation expérimentale et application à la détection d’attaque de DDoS/Non Gaussian Long Memory Model for Internet Traffic: Experimental Validation and Application to DDoS Detection
Rançon de son succès, l’Internet est victime d’anomalies de trafic (pannes, augmentations soudaines, attaques). Pour comparer les statistiques du trafic régulier avec celles en situation anormale, nous menons ...
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Chapter
Signal Processing Methods Related to Models of Turbulence
Turbulence deals with the complex motions in fluid at high velocity and/or involving a large range of length-scales. Understanding turbulence is challenging and involves many questions from modeling this compl...
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Chapter
From Stationarity to Self-similarity, and Back: Variations on the Lamperti Transformation
The Lamperti transformation defines a one-to-one correspondence between stationary processes on the real line and self-similar processes on the real half-line. Although dating back to 1962, this fundamental re...
