Michael V. Arnold

Affiliations:
  • University of Vermont, Computational Story Lab, Burlington, VT, USA


According to our database1, Michael V. Arnold authored at least 23 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems.
EPJ Data Sci., December, 2023

An assessment of measuring local levels of homelessness through proxy social media signals.
CoRR, 2023

Curating corpora with classifiers: A case study of clean energy sentiment online.
CoRR, 2023

2022
Sentiment and structure in word co-occurrence networks on Twitter.
Appl. Netw. Sci., 2022

2021
The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity.
J. Big Data, 2021

Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning.
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

Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd.
CoRR, 2021

Quantifying language changes surrounding mental health on Twitter.
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

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

Selection mechanisms affect volatility in evolving markets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Selection mechanism design affects volatility in a market of evolving zero-intelligence agents.
CoRR, 2018


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