2 citations · 3 across the 5 of their papers we have counts for
5 papers
A Frequency-Structure Approach for Link Stream Analysis
Esteban Bautista, Matthieu Latapy
A link stream is a set of triplets indicating that and interacted at time . Link streams model numerous datasets and their proper study is crucial in many ap…
A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms
Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch +1
Measuring the influence of users in social networks is key for numerous applications. A recently proposed influence metric, coined as -score, allows to go beyond traditional cen…
A logical approach for temporal and multiplex networks analysis
Esteban Bautista, Matthieu Latapy
Many systems generate data as a set of triplets (a, b, c): they may represent that user a called b at time c or that customer a purchased product b in store c. These datasets are t…
A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials
Esteban Bautista, Matthieu Latapy
The personalized PageRank algorithm is one of the most versatile tools for the analysis of networks. In spite of its ubiquity, maintaining personalized PageRank vectors when the un…
-PageRank for Semi-Supervised Learning
Esteban Bautista, Patrice Abry, Paulo Gonçalves
PageRank for Semi-Supervised Learning has shown to leverage data structures and limited tagged examples to yield meaningful classification. Despite successes, classification perfor…