455 citations · 2.1k across the 23 of their papers we have counts for
10 papers · 1 filter
Early Detection of Critical Urban Events using Mobile Phone Network Data
Pierre Lemaire, Angelo Furno, Stefania Rubrichi +5
Network Signalling Data (NSD) have the potential to provide continuous spatio-temporal information about the presence, mobility, and usage patterns of cell phone services by indivi…
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal
Laura State, Hadrien Salat, Stefania Rubrichi +1
Explainable artificial intelligence (XAI) provides explanations for not interpretable machine learning (ML) models. While many technical approaches exist, there is a lack of valida…
Geographical veracity of indicators derived from mobile phone data
Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda
In this contribution we summarize insights on the geographical veracity of using mobile phone data to create (statistical) indicators. We focus on problems that persist with spatia…
Performance and sensitivities of home detection from mobile phone data
Maarten Vanhoof, Clement Lee, Zbigniew Smoreda
Large-scale location based traces, such as mobile phone data, have been identified as a promising data source to complement or even enrich official statistics. In many cases, a pre…
Assessing the quality of home detection from mobile phone data for official statistics
Maarten Vanhoof, Fernando Reis, Thomas Ploetz +1
Mobile phone data are an interesting new data source for official statistics. However, multiple problems and uncertainties need to be solved before these data can inform, support o…
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
Maarten Vanhoof, Fernando Reis, Zbigniew Smoreda +1
Non-continuous location traces inferred from Call Detail Records (CDR) at population scale are increasingly becoming available for research and show great potential for automated d…