activity
20122022
most citedFrom mobile phone data to the spatial structure of cities

460 citations · 1.1k across the 12 of their papers we have counts for

collaborators

13 papers

cs.CY2022★ 21 cited

Modeling International Mobility using Roaming Cell Phone Traces during COVID-19 Pandemic

Massimiliano Luca, Bruno Lepri, Enrique Frias-Martinez +1

Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on…

cs.NI2020

A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic

Andra Lutu, Diego Perino, Marcelo Bagnulo +2

During early 2020, the SARS-CoV-2 virus rapidly spread worldwide, forcing many governments to impose strict lockdown measures to tackle the pandemic. This significantly changed peo…

physics.soc-ph2020★ 3 cited

Flow descriptors of human mobility networks

David Pastor-Escuredo, Enrique Frias-Martinez

Mobile phone data has enabled the timely and fine-grained study human mobility. Call Detail Records, generated at call events, allow building descriptions of mobility at different…

econ.GN2019

The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth

Weipan Xu, Haohui'Caron' Chen, Enrique Frias-Martinez +2

The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structur…

cs.HC2017★ 5 cited

MobInsight: A Framework Using Semantic Neighborhood Features for Localized Interpretations of Urban Mobility

Souneil Park, Joan Serra, Enrique Frias Martinez +1

Collective urban mobility embodies the residents' local insights on the city. Mobility practices of the residents are produced from their spatial choices, which involve various con…

cs.CY2016

The Role of Rating and Loan Characteristics in Online Microfunding Behaviors

Gaurav Paruthi, Enrique Frias-Martinez, Vanessa Frias-Martinez

We propose an in-depth study of lending behaviors in Kiva using a mix of quantitative and large-scale data mining techniques. Kiva is a non-profit organization that offers an onlin…

physics.soc-ph2015★ 95 cited

Comparing and modeling land use organization in cities

Maxime Lenormand, Miguel Picornell, Oliva G. Cantú-Ros +6

The advent of geolocated ICT technologies opens the possibility of exploring how people use space in cities, bringing an important new tool for urban scientists and planners, espec…

physics.soc-ph2015★ 204 cited

Uncovering the spatial structure of mobility networks

Thomas Louail, Maxime Lenormand, Miguel Picornell +5

The extraction of a clear and simple footprint of the structure of large, weighted and directed networks is a general problem that has many applications. An important example is gi…

cs.CY2014★ 71 cited

Flooding through the lens of mobile phone activity

David Pastor-Escuredo, Alfredo Morales-Guzmán, Yolanda Torres-Fernández +10

Natural disasters affect hundreds of millions of people worldwide every year. Emergency response efforts depend upon the availability of timely information, such as information con…

physics.soc-ph2014★ 149 cited

Cross-checking different sources of mobility information

Maxime Lenormand, Miguel Picornell, Oliva G. Cantu-Ros +6

The pervasive use of new mobile devices has allowed a better characterization in space and time of human concentrations and mobility in general. Besides its theoretical interest, d…

physics.soc-ph2014★ 460 cited

From mobile phone data to the spatial structure of cities

Thomas Louail, Maxime Lenormand, Oliva García Cantú +5

Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and thei…

cs.CY2013

Assessing the Potential of Ride-Sharing Using Mobile and Social Data

Blerim Cici, Athina Markopoulou, Enrique Frías-Martínez +1

Ride-sharing on the daily home-work-home commute can help individuals save on gasoline and other car-related costs, while at the same time it can reduce traffic and pollution. This…

astro-ph.HE2012★ 73 cited

Fermi's Sibyl: Mining the gamma-ray sky for dark matter subhaloes

N. Mirabal, V. Frias-Martinez, T. Hassan +1

Dark matter annihilation signals coming from Galactic subhaloes may account for a small fraction of unassociated point sources detected in the Second Fermi-LAT catalogue (2FGL). To…