129 citations · 848 across the 73 of their papers we have counts for
4 papers · 1 filter
Feature Driven and Point Process Approaches for Popularity Prediction
Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie
Predicting popularity, or the total volume of information outbreaks, is an important subproblem for understanding collective behavior in networks. Each of the two main types of rec…
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner +3
Modeling and predicting the popularity of online content is a significant problem for the practice of information dissemination, advertising, and consumption. Recent work analyzing…
How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Lallich
In this paper, we propose a new time-aware dissimilarity measure that takes into account the temporal dimension. Observations that are close in the description space, but distant i…
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering
Young-Min Kim, Julien Velcin, Stéphane Bonnevay +1
Evolutionary clustering aims at capturing the temporal evolution of clusters. This issue is particularly important in the context of social media data that are naturally temporally…