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20112026
most citedTemporal patterns of happiness and information in a global social network: Hedonometrics and Twitter

833 citations · 4.3k across the 84 of their papers we have counts for

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Showing 2020Show all

15 papers · 1 filter

physics.soc-ph2020★ 2 cited

Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series

P. S. Dodds, J. R. Minot, M. V. Arnold +5

Maintaining the integrity of long-term data collection is an essential scientific practice. As a field evolves, so too will that field's measurement instruments and data storage sy…

cs.CL2020★ 75 cited

Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts

Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell +4

A common task in computational text analyses is to quantify how two corpora differ according to a measurement like word frequency, sentiment, or information content. However, colla…

physics.soc-ph2020★ 1 cited

Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions

P. S. Dodds, J. R. Minot, M. V. Arnold +4

Real-world complex systems often comprise many distinct types of elements as well as many more types of networked interactions between elements. When the relative abundances of typ…

physics.soc-ph2020★ 14 cited

Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy

P. S. Dodds, J. R. Minot, M. V. Arnold +4

Measuring the specific kind, temporal ordering, diversity, and turnover rate of stories surrounding any given subject is essential to developing a complete reckoning of that subjec…

cs.SI2020

Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María

Benjamin Freixas Emery, Meredith T. Niles, Christopher M. Danforth +1

In September 2017, Hurricane María made landfall across the Caribbean region as a category 4 storm. In the aftermath, many residents of Puerto Rico were without power or clean runn…

cs.SI2020★ 48 cited

Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter

Thayer Alshaabi, Jane L. Adams, Michael V. Arnold +5

In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventiona…