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20112023
most citedOn Location Relevance and Diversity in Human Mobility Data

14 citations · 63 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.SI2017★ 11 cited

Public discourse and news consumption on online social media: A quantitative, cross-platform analysis of the Italian Referendum

Michela Del Vicario, Sabrina Gaito, Walter Quattrociocchi +2

The rising attention to the spreading of fake news and unsubstantiated rumors on online social media and the pivotal role played by confirmation bias led researchers to investigate…

cs.SI2016

Predicting encounter and colocation events in metropolitan areas

Karim Karamat Jahromi, Matteo Zignani, Sabrina Gaito +1

Despite an extensive literature has been devoted to mine and model mobility features, forecasting where, when and whom people will encounter/colocate still deserve further research…

cs.SI2014★ 4 cited

Exploiting all phone media? A multidimensional network analysis of phone users' sociality

Matteo Zignani, Christian Quadri, Sabrina Gaitto +1

The growing awareness that human communications and social interactions are assuming a stratified structure, due to the availability of multiple techno-communication channels, incl…

cs.SI2012★ 10 cited

Multi-scale Dynamics in a Massive Online Social Network

Xiaohan Zhao, Alessandra Sala, Christo Wilson +4

Data confidentiality policies at major social network providers have severely limited researchers' access to large-scale datasets. The biggest impact has been on the study of netwo…

cs.SI2012★ 2 cited

On the Bursty Evolution of Online Social Networks

Sabrina Gaito, Matteo Zignani, Gian Paolo Rossi +4

The high level of dynamics in today's online social networks (OSNs) creates new challenges for their infrastructures and providers. In particular, dynamics involving edge creation…

cs.SI2011★ 11 cited

Revisiting Degree Distribution Models for Social Graph Analysis

Alessandra Sala, Sabrina Gaito, Gian Paolo Rossi +2

Degree distribution models are incredibly important tools for analyzing and understanding the structure and formation of social networks, and can help guide the design of efficient…