Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Michael Vincent Arnold"'
Autor:
Peter Sheridan Dodds, Jeanie Lim, Michael Vincent Arnold, Thomas McAndrew, Christopher M. Danforth, Kelsey Linnell, Thayer Alshaabi
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-17 (2021)
Sleep loss has been linked to heart disease, diabetes, cancer, and an increase in accidents, all of which are among the leading causes of death in the United States. Population-scale sleep studies have the potential to advance public health by helpin
Autor:
Michael Vincent Arnold, David Rushing Dewhurst, Jane Lydia Adams, Thayer Alshaabi, Peter Sheridan Dodds, Joshua R. Minot, Christopher M. Danforth, Andrew J. Reagan
Publikováno v:
Science Advances
In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventionalized and recorded. Vitally, and absent from many standard corpora suc
Autor:
Andrew J. Reagan, Jane Lydia Adams, Roby Muhamad, Thayer Alshaabi, Peter Sheridan Dodds, Michael Vincent Arnold, David Rushing Dewhurst, Joshua R. Minot, Christopher M. Danforth
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 1, p e0244476 (2021)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bf5291714d55cb456161d5feda11424
http://arxiv.org/abs/2003.12614
http://arxiv.org/abs/2003.12614
Autor:
Peter Sheridan Dodds, Christopher M. Danforth, Jane Lydia Adams, Michael Vincent Arnold, David Rushing Dewhurst, Thayer Alshaabi, Joshua R. Minot
Publikováno v:
Epj Data Science
EPJ Data Science, Vol 10, Iss 1, Pp 1-28 (2021)
EPJ Data Science, Vol 10, Iss 1, Pp 1-28 (2021)
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 English,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96e445286a640a0f01c46c081b46e6f2
http://arxiv.org/abs/2003.03667
http://arxiv.org/abs/2003.03667
Autor:
Joshua R. Minot, Michael Vincent Arnold, David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds
Publikováno v:
EPJ Data Science, Vol 9, Iss 1, Pp 1-36 (2020)
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, the Shoc
Autor:
Michael Vincent Arnold, Matthew S. White, Yu Jiang, Bin Du, Andrew Larsen, Benjamin Isenhart, Justin Paluba, Ekraj Dahal, Karen Cianciulli
Publikováno v:
Organic Electronics. 62:660-666
We present a nonlinear impedance spectroscopy technique and demonstrate its ability to directly measure nonlinear processes including electron-hole recombination and space charge effects in organic-semiconductor-based diodes and MIS capacitors. The m
Publikováno v:
International Journal of Economic Theory. 14:257-278
We analyze a game‐theoretic model to explore the impact of organic links (links generated by the search engine algorithm) and popular versus niche keywords on bidding strategies in sponsored link position auctions. In contrast to results in earlier
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference.
Financial asset markets are sociotechnical systems whose constituent agents are subject to evolutionary pressure as unprofitable agents exit the marketplace and more profitable agents continue to trade assets. Using a population of evolving zero-inte
Publikováno v:
Journal of Institutional and Theoretical Economics
Journal of Institutional and Theoretical Economics, Mohr Siebeck, 2019, 175 (2), pp.372-393. ⟨10.1628/jite-2018-0016⟩
Journal of Institutional and Theoretical Economics, 2019, 175 (2), pp.372-393. ⟨10.1628/jite-2018-0016⟩
Journal of Institutional and Theoretical Economics, Mohr Siebeck, 2019, 175 (2), pp.372-393. ⟨10.1628/jite-2018-0016⟩
Journal of Institutional and Theoretical Economics, 2019, 175 (2), pp.372-393. ⟨10.1628/jite-2018-0016⟩
International audience; Graduated response policies (e.g., three-strikes laws) are often adopted to deter repeated criminal activity. In 2009 France passed the Hadopi three-strikes law targeting digital piracy. We model the individual intertemporal d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc78e040c364b6ba9a84ccd794591536
https://halshs.archives-ouvertes.fr/halshs-01866946
https://halshs.archives-ouvertes.fr/halshs-01866946
Autor:
Jane Lydia Adams, Peter Sheridan Dodds, Michael Vincent Arnold, David Rushing Dewhurst, Christopher M. Danforth, Joshua R. Minot, Thayer Alshaabi
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251762 (2021)
PLoS ONE
PLoS ONE
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 remark