Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Michael V. Arnold"'
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:
Morgan Weaving, Thayer Alshaabi, Michael V. Arnold, Khandis Blake, Christopher M. Danforth, Peter S. Dodds, Nick Haslam, Cordelia Fine
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Online misogyny has become a fixture in female politicians’ lives. Backlash theory suggests that it may represent a threat response prompted by female politicians’ counterstereotypical, power-seeking behaviors. We investigated this hypot
Externí odkaz:
https://doaj.org/article/48edd1fa3f944cf599c9ef464808dfb6
Autor:
Mikaela Irene Fudolig, Thayer Alshaabi, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-27 (2022)
Abstract We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the t
Externí odkaz:
https://doaj.org/article/dbfef7403a3841b4b6e0e12e1a323d6e
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:
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:
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:
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:
Thayer Alshaabi, Colin M. Van Oort, Mikaela Irene Fudolig, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2022)
Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual. Although recent contextual models are increasingly dom
Externí odkaz:
https://doaj.org/article/0193157409ca429580592287a1c4803c
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