Zobrazeno 1 - 10
of 20
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 (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:
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:
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:
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a34448cfb91fd38c45b3c761f48340e6
https://pubmed.ncbi.nlm.nih.gov/35353049
https://pubmed.ncbi.nlm.nih.gov/35353049
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
