Federico Botta
Federico Botta
Lecturer in Data Science, University of Exeter
Verified email at exeter.ac.uk - Homepage
Cited by
Cited by
Quantifying crowd size with mobile phone and Twitter data
F Botta, HS Moat, T Preis
Royal Society Open Science, 150162, 2015
Quantifying stock return distributions in financial markets
F Botta, HS Moat, HE Stanley, T Preis
PloS one 10 (9), e0135600, 2015
Analysis of the communities of an urban mobile phone network
F Botta, CI Del Genio
PloS one 12 (3), e0174198, 2017
Finding network communities using modularity density
F Botta, CI Del Genio
Journal of Statistical Mechanics: Theory and Experiment 2016 (12), 123402, 2016
Sensing global tourism numbers with millions of publicly shared online photographs
T Preis, F Botta, HS Moat
Environment and Planning A: Economy and Space 52 (3), 471-477, 2020
Analysis of human mobility in the UK during the COVID-19 pandemic
C Santana, F Botta, H Barbosa, F Privitera, R Menezes, R Di Clemente
preprint@ github, 2020
In search of art: rapid estimates of gallery and museum visits using Google Trends
F Botta, T Preis, HS Moat
EPJ Data Science 9 (1), 14, 2020
Measuring the size of a crowd using Instagram
F Botta, HS Moat, T Preis
Environment and Planning B: Urban Analytics and City Science 47 (9), 1690-1703, 2020
Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust
M Stella, MS Vitevitch, F Botta
arXiv preprint arXiv:2103.15909, 2021
Modelling urban vibrancy with mobile phone and OpenStreetMap data
F Botta, M Gutiérrez-Roig
Plos one 16 (6), e0252015, 2021
Quantifying the differences in call detail records
F Botta
Royal Society Open Science 8 (6), 201443, 2021
Quantifying human behaviour using complex social datasets
F Botta
University of Warwick, 2016
Visualising Students' Feedback
F Botta
Quantifying Crowd Size with Mobile Phone and Twitter Data Supplementary Material
F Botta, HS Moat, T Preis
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