Zobrazeno 1 - 10
of 165
pro vyhledávání: '"R. Minot"'
Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems
Autor:
Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Tyler J. Gray, Morgan R. Frank, Andrew J. Reagan, Christopher M. Danforth
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-42 (2023)
Abstract Complex systems often comprise many kinds of components which vary over many orders of magnitude in size: Populations of cities in countries, individual and corporate wealth in economies, species abundance in ecologies, word frequency in nat
Externí odkaz:
https://doaj.org/article/ce496aa890414b56895797366b58c888
Autor:
Henry H Wu, Ryan J Gallagher, Thayer Alshaabi, Jane L Adams, Joshua R Minot, Michael V Arnold, Brooke Foucault Welles, Randall Harp, Peter Sheridan Dodds, Christopher M Danforth
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279225 (2023)
The murder of George Floyd by police in May 2020 sparked international protests and brought unparalleled levels of attention to the Black Lives Matter movement. As we show, his death set record levels of activity and amplification on Twitter, prompte
Externí odkaz:
https://doaj.org/article/9ca6f10ad15941cd9da646aed3ed76d9
Autor:
Danne C Elbers, Jennifer La, Joshua R Minot, Robert Gramling, Mary T Brophy, Nhan V Do, Nathanael R Fillmore, Peter S Dodds, Christopher M Danforth
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280931 (2023)
Natural language processing of medical records offers tremendous potential to improve the patient experience. Sentiment analysis of clinical notes has been performed with mixed results, often highlighting the issue that dictionary ratings are not dom
Externí odkaz:
https://doaj.org/article/d517b3af4588496f844e96e2b92d0284
Autor:
Thayer Alshaabi, David Rushing Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-28 (2021)
Abstract Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter. We find that eight languages comprise 80% of all tweets, with
Externí odkaz:
https://doaj.org/article/c0404a8bda824056b772c44e7b040301
Autor:
David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
EPJ Data Science, Vol 9, Iss 1, Pp 1-36 (2020)
Abstract We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series—termed the Discrete Shocklet Transform (DST)—and an associated similarity search routine,
Externí odkaz:
https://doaj.org/article/e1cc6fa658104223bc62a31bf4ebb9ff
Autor:
Anne Marie Stupinski, Thayer Alshaabi, Michael V Arnold, Jane Lydia Adams, Joshua R Minot, Matthew Price, Peter Sheridan Dodds, Christopher M Danforth
Publikováno v:
JMIR Mental Health, Vol 9, Iss 3, p e33685 (2022)
BackgroundMental health challenges are thought to affect approximately 10% of the global population each year, with many of those affected going untreated because of the stigma and limited access to services. As social media lowers the barrier for jo
Externí odkaz:
https://doaj.org/article/43a29fb5dbd043b7ae9d98305ea67a1f
Autor:
Thayer Alshaabi, Michael V Arnold, Joshua R Minot, Jane Lydia Adams, David Rushing Dewhurst, Andrew J Reagan, Roby Muhamad, Christopher M Danforth, Peter Sheridan Dodds
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244476 (2021)
In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all efforts, data is crucial. Fundamentally, and in the possible absence of a vaccine for 12 to 1
Externí odkaz:
https://doaj.org/article/13bfdb3d561a43d293833682d15e9361
Autor:
Joshua R Minot, Michael V Arnold, Thayer Alshaabi, Christopher M Danforth, Peter Sheridan Dodds
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0248880 (2021)
The past decade has witnessed a marked increase in the use of social media by politicians, most notably exemplified by the 45th President of the United States (POTUS), Donald Trump. On Twitter, POTUS messages consistently attract high levels of engag
Externí odkaz:
https://doaj.org/article/0bc0c4217c2744e5929f9f90b195157c
Autor:
Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, Andrew J. Reagan, Christopher M. Danforth
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
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 subject’s historical impact. Here, we use Twitter as a distributed news an
Externí odkaz:
https://doaj.org/article/85b28e7a62d64188976a48e642879400
Autor:
Michael V Arnold, David Rushing Dewhurst, Thayer Alshaabi, Joshua R Minot, Jane L Adams, Christopher M Danforth, Peter Sheridan Dodds
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251762 (2021)
We study collective attention paid towards hurricanes through the lens of n-grams on Twitter, a social media platform with global reach. Using hurricane name mentions as a proxy for awareness, we find that the exogenous temporal dynamics are remarkab
Externí odkaz:
https://doaj.org/article/b263d9f6d170453f8e006b713c946e44