Cécile Bothorel
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View article: DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks
DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks Open
Graph models help understand network dynamics and evolution. Creating graphs with controlled topology and embedded partitions is a common strategy for evaluating community detection algorithms. However, existing benchmarks often overlook t…
View article: DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks
DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks Open
View article: Flexible Optimization of Structural Measures for Community Detection
Flexible Optimization of Structural Measures for Community Detection Open
Community detection is a crucial task in many graph data analysis pipelines, with applications ranging from social networks to biology and transportation systems. This work introduces FO-SM-CD , a novel constraint programming framework for…
View article: MAD: Multi-Scale Anomaly Detection in Link Streams
MAD: Multi-Scale Anomaly Detection in Link Streams Open
International audience
View article: Alignment and stability of embeddings: Measurement and inference improvement
Alignment and stability of embeddings: Measurement and inference improvement Open
View article: Temporalizing static graph autoencoders to handle temporal networks
Temporalizing static graph autoencoders to handle temporal networks Open
International audience
View article: Task-specific Temporal Node Embedding
Task-specific Temporal Node Embedding Open
International audience
View article: An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics Open
View article: Alignment and stability of embeddings: measurement and inference improvement
Alignment and stability of embeddings: measurement and inference improvement Open
Representation learning (RL) methods learn objects' latent embeddings where information is preserved by distances. Since distances are invariant to certain linear transformations, one may obtain different embeddings while preserving the sa…
View article: Analysing Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method
Analysing Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method Open
View article: Énumération de motifs dans un graphe d'évolution de communautés
Énumération de motifs dans un graphe d'évolution de communautés Open
International audience
View article: TemporalNode2vec: Task-agnostic and Task-specific Temporal Node Embedding
TemporalNode2vec: Task-agnostic and Task-specific Temporal Node Embedding Open
The goal of graph embedding is to learn a representation of graphs vertices in a latent low-dimensional space in order to encode the structural information that lies in graphs. While real-world networks evolve over time, the majority of re…
View article: Une plateforme de<i>crowdfunding</i>et son réseau social
Une plateforme de<i>crowdfunding</i>et son réseau social Open
L’analyse empirique de la plateforme de crowdfunding Ulule montre l’existence d’un réseau social transverse aux projets qui présente, à l’échelle de la plateforme, un effet catalyseur sur les campagnes de recherche de fonds. Les résultats …
View article: TemporalNode2vec: Temporal Node Embedding in Temporal Networks
TemporalNode2vec: Temporal Node Embedding in Temporal Networks Open
View article: Roles in Social Interactions: Graphlets in Temporal Networks Applied to Learning Analytics
Roles in Social Interactions: Graphlets in Temporal Networks Applied to Learning Analytics Open
View article: Estimating the Similarity of Community Detection Methods Based on Cluster Size Distribution
Estimating the Similarity of Community Detection Methods Based on Cluster Size Distribution Open
View article: An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics Open
Community detection emerges as an important task in the discovery of network mesoscopic structures. However, the concept of a "good" community is very context-dependent and it is relatively complicated to deduce community characteristics u…
View article: Introduction to Big Data and Its Applications in Insurance
Introduction to Big Data and Its Applications in Insurance Open
International audience
View article: Community detection methods can discover better structural clusters than ground-truth communities
Community detection methods can discover better structural clusters than ground-truth communities Open
International audience
View article: Community Structures Evaluation in Complex Networks: A Descriptive Approach
Community Structures Evaluation in Complex Networks: A Descriptive Approach Open
View article: Contribution, Social networking, and the Request for Adminship process in Wikipedia
Contribution, Social networking, and the Request for Adminship process in Wikipedia Open
Epistemic communities are said to be project-oriented com-munities of experts, evaluated on their contribution in terms of knowledge, where the main criterion for promotion is knowledge production [3]. However, [5], for Wikipedia, [7],
View article: Social Interactions vs Revisions, What Is Important for Promotion in Wikipedia?
Social Interactions vs Revisions, What Is Important for Promotion in Wikipedia? Open
International audience
View article: Dossier "I.A. et Aide à la Décision"
Dossier "I.A. et Aide à la Décision" Open
International audience
View article: Clustering attributed graphs: Models, measures and methods
Clustering attributed graphs: Models, measures and methods Open
Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on grap…
View article: Automating opinion analysis in film reviews: the case of statistic versus linguistic approach.
Automating opinion analysis in film reviews: the case of statistic versus linguistic approach. Open
Community sites are by nature dedicated places to express and publish opinions. www.flixster.com is an example of participative web site, with dozens of millions of enthusiasts sharing their feelings/views on movies, providing positive fee…
View article: Social Interactions vs Revisions, What is important for Promotion in Wikipedia?
Social Interactions vs Revisions, What is important for Promotion in Wikipedia? Open
In epistemic community, people are said to be selected on their knowledge contribution to the project (articles, codes, etc.) However, the socialization process is an important factor for inclusion, sustainability as a contributor, and pro…
View article: Clustering attributed graphs: models, measures and methods
Clustering attributed graphs: models, measures and methods Open
Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on grap…
View article: Social Interactions vs Revisions, What is important for Promotion in\n Wikipedia?
Social Interactions vs Revisions, What is important for Promotion in\n Wikipedia? Open
In epistemic community, people are said to be selected on their knowledge\ncontribution to the project (articles, codes, etc.) However, the socialization\nprocess is an important factor for inclusion, sustainability as a contributor,\nand …
View article: Social Interactions vs Revisions, What is Important for Promotion in Wikipedia?
Social Interactions vs Revisions, What is Important for Promotion in Wikipedia? Open