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Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility., , , , , , , , , и 2 other автор(ы). BMC medicine, 7 (1): 45+ (14.09.2009)Spatio-temporal Analysis of Flu-related Drugs Uptake in an Online Cohort in England., , , , , и . PDH, стр. 111-118. ACM, (2019)News and the city: understanding online press consumption patterns through mobile data., , , и . EPJ Data Sci., 9 (1): 10 (2020)Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms., , , , , , , , , и 8 other автор(ы). PLoS Comput. Biol., (2019)grippeNET App: Enhancing Participatory Influenza Monitoring Through Mobile Phone Sensors., , , , и . UbiComp/ISWC Adjunct, стр. 833-841. ACM, (2018)Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy., , и . WWW, стр. 303-310. ACM, (2017)Immigration as a Divisive Topic: Clusters and Content Diffusion in the Italian Twitter Debate., , , и . Future Internet, 12 (10): 173 (2020)Link prediction in multiplex networks via triadic closure., , , , и . CoRR, (2020)Correction: Measuring user engagement with low credibility media sources in a controversial online debate., , , и . EPJ Data Sci., 11 (1): 38 (2022)ICWSM 2021 Workshop on Data for the Wellbeing of Most Vulnerable: Promises and Challenges., , , и . ICWSM Workshops, (2021)