Thayer Alshaabi
Title
Cited by
Cited by
Year
How the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter
T Alshaabi, MV Arnold, JR Minot, JL Adams, DR Dewhurst, AJ Reagan, ...
arXiv preprint arXiv:2003.12614, 2020
192020
Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:2002.09770, 2020
52020
The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series
DR Dewhurst, T Alshaabi, D Kiley, MV Arnold, JR Minot, CM Danforth, ...
EPJ Data Science 9 (1), 3, 2020
32020
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
DR Dewhurst, T Alshaabi, MV Arnold, JR Minot, CM Danforth, PS Dodds
arXiv preprint arXiv:2004.03516, 2020
32020
The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009--2020
T Alshaabi, DR Dewhurst, JR Minot, MV Arnold, JL Adams, CM Danforth, ...
arXiv preprint arXiv:2003.03667, 2020
32020
Fame and Ultrafame: Measuring and comparing daily levels ofbeing talked about'for United States' presidents, their rivals, God, countries, and K-pop
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:1910.00149, 2019
32019
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, AJ Reagan, ...
arXiv preprint arXiv:2008.07301, 2020
22020
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:2008.13078, 2020
12020
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter
T Alshaabi, JL Adams, MV Arnold, JR Minot, DR Dewhurst, AJ Reagan, ...
arXiv preprint arXiv:2007.12988, 2020
12020
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter
JR Minot, MV Arnold, T Alshaabi, CM Danforth, PS Dodds
arXiv preprint arXiv:2006.03526, 2020
12020
ARTS: Automotive Repository of Traffic Signs for the United States
F Almutairy, T Alshaabi, J Nelson, S Wshah
IEEE Transactions on Intelligent Transportation Systems, 2019
12019
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:2008.11305, 2020
2020
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong
T Alshaabi, DR Dewhurst, JP Bagrow, PS Dodds, CM Danforth
arXiv preprint arXiv:2006.08527, 2020
2020
The sleep loss insult of Spring Daylight Savings in the US is absorbed by Twitter users within 48 hours
K Linnell, T Alshaabi, T McAndrew, J Lim, PS Dodds, CM Danforth
arXiv preprint arXiv:2004.06790, 2020
2020
Hurricanes and hashtags: Characterizing online collective attention for natural disasters
MV Arnold, DR Dewhurst, T Alshaabi, JR Minot, JL Adams, CM Danforth, ...
arXiv preprint arXiv:2003.14291, 2020
2020
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