Open AccessDOI
Inferring Migrations: Traditional Methods and New Approaches based on Mobile Phone, Social Media, and other Big Data: Feasibility study on Inferring (labour) mobility and migration in the European Union from big data and social media data
Christina Hughes,Emilio Zagheni,Guy J. Abel,Alessandro Sorichetta,Arkadius Wi'sniowski,Ingmar Weber,Andrew J. Tatem +6 more
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The article was published on 2016-01-01 and is currently open access. It has received 36 citations till now. The article focuses on the topics: European union & Big data.read more
Citations
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Migration data using social media: a European perspective
TL;DR: In this article, the authors propose a method to solve the problem of homonymity in homonym identification, which is called homonym-based homonymization, or homonymisation.
Journal ArticleDOI
Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria
TL;DR: In this paper, the suitability of Twitter data for measuring post-disaster population mobility using the case of Hurricane Maria in Puerto Rico was examined, and the authors found that 8.3% of resident sample relocated during the months after Hurricane Maria and nearly 4% of were still displaced 9 months later.
Journal ArticleDOI
Quantifying international human mobility patterns using Facebook Network data
TL;DR: The feasibility of using non-traditional data sources to fill existing gaps in migration statistics and comparing them with data from reliable sources is investigated, finding that FN-derived migration estimates can be used for trend analysis and early-warning purposes.
Posted Content
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
Paolo Cintia,Daniele Fadda,Fosca Giannotti,Luca Pappalardo,Giulio Rossetti,Dino Pedreschi,Salvatore Rinzivillo,Bonato P,Fabbri F,Penone F,Savarese M,Checchi D,Francesca Chiaromonte,Vineis P,Giorgio Guzzetta,Flavia Riccardo,Marziano,Piero Poletti,Filippo Trentini,Antonino Bella,Xanthi Andrianou,Manso,Massimo Fabiani,Stefania Bellino,Stefano Boros,Alberto Mateo Urdiales,Maria Fenicia Vescio,Silvio Brusaferro,Giovanni Rezza,Patrizio Pezzotti,Marco Ajelli,Stefano Merler +31 more
TL;DR: A striking relationship between the negative variation of mobility flows and the net reproduction number is found and the value of "big" mobility data to the monitoring of key epidemic indicators to inform choices as the epidemics unfolds in the coming months.
Journal ArticleDOI
Monitoring of the Venezuelan Exodus Through Facebook's Advertising Platform
Joao Palotti,Joao Palotti,Natalia Adler,Alfredo Morales-Guzman,Jeffrey Villaveces,Vedran Sekara,Manuel Garcia Herranz,Musa Al-Asad,Ingmar Weber +8 more
TL;DR: This paper proposes to use Facebook’s advertising platform as an additional data source for monitoring the ongoing crisis in Venezuela and estimates and validate national and sub-national numbers of refugees and migrants and break-down their socio-economic profiles to further understand the complexity of the phenomenon.
References
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Journal ArticleDOI
Unique in the Crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye,Yves-Alexandre de Montjoye,César A. Hidalgo,César A. Hidalgo,César A. Hidalgo,Michel Verleysen,Vincent D. Blondel,Vincent D. Blondel +7 more
TL;DR: It is found that in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier's antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals.
Proceedings ArticleDOI
You are where you tweet: a content-based approach to geo-locating twitter users
TL;DR: A probabilistic framework for estimating a Twitter user's city-level location based purely on the content of the user's tweets, which can overcome the sparsity of geo-enabled features in these services and enable new location-based personalized information services, the targeting of regional advertisements, and so on.
Journal ArticleDOI
The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons
Journal ArticleDOI
Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti.
TL;DR: This work examines the use of mobile phone positioning data to monitor population movements during disasters and outbreaks, finding that reports on population movements can be generated within twelve hours of receiving data.
Journal ArticleDOI
Harvesting ambient geospatial information from social media feeds
TL;DR: This paper addresses a framework to harvest ambient geospatial information, and resulting hybrid capabilities to analyze it to support situational awareness as it relates to human activities.
Related Papers (5)
You are where you e-mail: using e-mail data to estimate international migration rates
Emilio Zagheni,Ingmar Weber +1 more