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How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter., , , , , , , , и . CoRR, (2020)Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems., , , , , , , , , и . EPJ Data Sci., 12 (1): 37 (декабря 2023)Sentiment and structure in word co-occurrence networks on Twitter., , , , и . Appl. Netw. Sci., 7 (1): 9 (2022)Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance., , , , , и . CoRR, (2020)Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter., , , , , , , и . CoRR, (2020)Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions., , , , , , , и . CoRR, (2020)Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter., , , , и . CoRR, (2020)Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series., , , , , , , и . CoRR, (2020)Quantifying language changes surrounding mental health on Twitter., , , , , , , и . CoRR, (2021)The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity., , , , , , и . J. Big Data, 8 (1): 121 (2021)