Thayer Alshaabi
Orcid: 0000-0002-8971-4434
According to our database1,
Thayer Alshaabi
authored at least 25 papers
between 2019 and 2023.
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Bibliography
2023
Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems.
EPJ Data Sci., December, 2023
2022
Characterizing narrative time in books through fluctuations in power and danger arcs.
CoRR, 2022
Appl. Netw. Sci., 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging.
Proceedings of the International Conference on Machine Learning, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity.
J. Big Data, 2021
Frontiers Artif. Intell., 2021
The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
EPJ Data Sci., 2021
Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias.
CoRR, 2021
Blending search queries with social media data to improve forecasts of economic indicators.
CoRR, 2021
Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd.
CoRR, 2021
2020
The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series.
EPJ Data Sci., 2020
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions.
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.
CoRR, 2020
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy.
CoRR, 2020
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter.
CoRR, 2020
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.
CoRR, 2020
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.
CoRR, 2020
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance.
CoRR, 2020
Hurricanes and hashtags: Characterizing online collective attention for natural disasters.
CoRR, 2020
How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter.
CoRR, 2020
The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
CoRR, 2020
2019
Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop.
CoRR, 2019