ArticleGeoInformatica2022
An analysis of twitter as a relevant human mobility proxy: A comparative approach in spain during the COVID-19 pandemic.
Article in GeoInformatica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Intermunicipal travel networks of Mexico during the COVID-19 pandemic.Scientific reports · 2023Article
- Replacing discontinued Big Tech mobility reports: a penetration-based analysis.Scientific reports · 2023Article
- Understanding internal migration in the UK before and during the COVID-19 pandemic using twitter data.Urban informatics · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
During the last years, the analysis of spatio-temporal data extracted from Online Social Networks (OSNs) has become a prominent course of action within the human-mobility mining discipline. Due to the noisy and sparse nature of these data, an important effort has been done on validating these platforms as suitable mobility proxies. However, such a validation has been usually based on the computation of certain features from the raw spatio-temporal trajectories extracted from OSN documents. Hence, there is a scarcity of validation studies that evaluate whether geo-tagged OSN data are able to measure the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.