15 citations · 39 across the 9 of their papers we have counts for
10 papers
Initial Results for Pairwise Causal Discovery Using Quantitative Information Flow
Felipe Giori, Flavio Figueiredo
Pairwise Causal Discovery is the task of determining causal, anticausal, confounded or independence relationships from pairs of variables. Over the last few years, this challenging…
Towards Understanding Political Interactions on Instagram
Martino Trevisan, Luca Vassio, Idilio Drago +5
Online Social Networks (OSNs) allow personalities and companies to communicate directly with the public, bypassing filters of traditional medias. As people rely on OSNs to stay up-…
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo, Guilherme Borges, Pedro O. S. Vaz de Melo +1
We here focus on the task of learning Granger causality matrices for multivariate point processes. In order to accomplish this task, our work is the first to explore the use of Wol…
Understanding Video-Ad Consumption on YouTube: A Measurement Study on User Behavior, Popularity, and Content Properties
Mariana Arantes, Flavio Figueiredo, Jussara M. Almeida
Faced with the challenge of attracting user attention and revenue, social media websites have turned to video advertisements (video-ads). While in traditional media the video-ad ma…
TribeFlow: Mining & Predicting User Trajectories
Flavio Figueiredo, Bruno Ribeiro, Jussara Almeida +1
Which song will Smith listen to next? Which restaurant will Alice go to tomorrow? Which product will John click next? These applications have in common the prediction of user traje…
Assessing the Value of Peer-Produced Information for Exploratory Search
Elizeu Santos-Neto, Flavio Figueiredo, Nigini Oliveira +3
Tagging is a popular feature that supports several collaborative tasks, including search, as tags produced by one user can help others finding relevant content. However, task perfo…
Improving the Effectiveness of Content Popularity Prediction Methods using Time Series Trends
Flavio Figueiredo, Marcos André Gonçalves, Jussara M. Almeida
We here present a simple and effective model to predict the popularity of web content. Our solution, which is the winner of two of the three tasks of the ECML/PKDD 2014 Predictive…
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries
Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara +2
How many listens will an artist receive on a online radio? How about plays on a YouTube video? How many of these visits are new or returning users? Modeling and mining popularity d…
TrendLearner: Early Prediction of Popularity Trends of User Generated Content
Flavio Figueiredo, Jussara M. Almeida, Marcos André Gonçalves +1
We here focus on the problem of predicting the popularity trend of user generated content (UGC) as early as possible. Taking YouTube videos as case study, we propose a novel two-st…
On the Dynamics of Social Media Popularity: A YouTube Case Study
Flavio Figueiredo, Jussara M. Almeida, Marcos André Gonçalves +1
Understanding the factors that impact the popularity dynamics of social media can drive the design of effective information services, besides providing valuable insights to content…