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20112026
most citedAnalyzing gender inequality through large-scale Facebook advertising data

90 citations · 314 across the 20 of their papers we have counts for

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Showing physics.soc-phShow all

7 papers · 1 filter

physics.soc-ph2023★ 1 cited

Are machine learning technologies ready to be used for humanitarian work and development?

Vedran Sekara, Márton Karsai, Esteban Moro +6

Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…

physics.soc-ph2017★ 1 cited

Temporal patterns behind the strength of persistent ties

Henry Navarro, Giovanna Miritello, Arturo Canales +1

Social networks are made out of strong and weak ties having very different structural and dynamical properties. But, what features of human interaction build a strong tie? Here we…

physics.soc-ph2015★ 29 cited

Channel-Specific Daily Patterns in Mobile Phone Communication

Talayeh Aledavood, Eduardo López, Sam G. B. Roberts +4

Humans follow circadian rhythms, visible in their activity levels as well as physiological and psychological factors. Such rhythms are also visible in electronic communication reco…

physics.soc-ph2013★ 1 cited

Limited communication capacity unveils strategies for human interaction

Giovanna Miritello, Rubén Lara, Manuel Cebrián +1

Social connectivity is the key process that characterizes the structural properties of social networks and in turn processes such as navigation, influence or information diffusion.…

physics.soc-ph2013

Time as a limited resource: Communication Strategy in Mobile Phone Networks

Giovanna Miritello, Esteban Moro, Rubén Lara +3

We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tie strengt…

physics.soc-ph2012★ 50 cited

Predicting human preferences using the block structure of complex social networks

Roger Guimera, Alejandro Llorente, Esteban Moro +1

With ever-increasing available data, predicting individuals' preferences and helping them locate the most relevant information has become a pressing need. Understanding and predict…