196 citations · 321 across the 4 of their papers we have counts for
5 papers
Inferring Unusual Crowd Events From Mobile Phone Call Detail Records
Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas +3
The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable knowledge about crowd behaviors in urban environments. Cities can leverage such…
Predicting User Engagement in Twitter with Collaborative Ranking
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli +4
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter. Most applications use CF to recommend a small set of i…
Multiscale Event Detection in Social Media
Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese +1
Event detection has been one of the most important research topics in social media analysis. Most of the traditional approaches detect events based on fixed temporal and spatial re…
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
Michele Berlingerio, Fabio Pinelli, Francesco Calabrese
Community Discovery in complex networks is the problem of detecting, for each node of the network, its membership to one of more groups of nodes, the communities, that are densely…
Interplay between telecommunications and face-to-face interactions - a study using mobile phone data
Francesco Calabrese, Zbigniew Smoreda, Vincent D. Blondel +1
In this study we analyze one year of anonymized telecommunications data for over one million customers from a large European cellphone operator, and we investigate the relationship…