Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Joshua 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 (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/5bc4cb1da3d745daba4f332c5abd6ab9
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:
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:
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
ACM Transactions on Computing for Healthcare. 3:1-41
Medical systems in general, and patient treatment decisions and outcomes in particular, can be affected by bias based on gender and other demographic elements. As language models are increasingly applied to medicine, there is a growing interest in bu
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. 18:e0280931
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
Autor:
Anne Marie Stupinski, Thayer Alshaabi, Michael V Arnold, Jane Lydia Adams, Joshua R Minot, Matthew Price, Peter Sheridan Dodds, Christopher M Danforth
BACKGROUND Mental 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 j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b55d032bdf91283db46b5514cd353f1
https://doi.org/10.2196/preprints.33685
https://doi.org/10.2196/preprints.33685
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. 9(3)
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
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
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbcccad2e0ba0b01a9d1e276aa9dfd08
http://arxiv.org/abs/2106.10281
http://arxiv.org/abs/2106.10281