Peter Dodds (mathematician)

Peter Sheridan Dodds is an Australian applied Mathematician. He is the director of the Vermont Complex Systems Center and Professor at the University of Vermont's Department of Mathematics and Statistics. He has collaborated in several researches related to big data problems in areas as language, stories, sociotechnical systems, Earth science, biology, and ecology. With Chris Danforth, he co-runs the Computational Story Lab, the MassMutual Center of Excellence in Complex Systems and Data Science, and together, they developed the hedonometer.

Recent researches directed by Peter Dodds in the Computational Story Lab has been commented on in ''The New York Times'', ''Smithsonian Magazine'', and other media. In October 2020, the Hedonometor tool created by Dodds and his college Chris Danforth analyzed the sentiment of people through their tweets pointed out May 31 as the saddest day recorded.

In Dodds's early career, from 2002 to 2007, he was a frequent collaborator of Duncan J. Watts. Provided by Wikipedia
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  1. 1
    Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution.

    Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution. by Eitan Adam Pechenick, Christopher M Danforth, Peter Sheridan Dodds

    Published 2015-01-01
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  2. 2
    Collective philanthropy: describing and modeling the ecology of giving.

    Collective philanthropy: describing and modeling the ecology of giving. by William L Gottesman, Andrew James Reagan, Peter Sheridan Dodds

    Published 2014-01-01
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  3. 3
    Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings.

    Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings. by Tyler J Gray, Christopher M Danforth, Peter Sheridan Dodds

    Published 2020-01-01
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  4. 4
    Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon Using Data Assimilation.

    Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon Using Data Assimilation. by Andrew J Reagan, Yves Dubief, Peter Sheridan Dodds, Christopher M Danforth

    Published 2016-01-01
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  5. 5
    Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.

    Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria. by Benjamin Freixas Emery, Meredith T Niles, Christopher M Danforth, Peter Sheridan Dodds

    Published 2021-01-01
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  6. 6
    Tracking Climate Change through the Spatiotemporal Dynamics of the Teletherms, the Statistically Hottest and Coldest Days of the Year.

    Tracking Climate Change through the Spatiotemporal Dynamics of the Teletherms, the Statistically Hottest and Coldest Days of the Year. by Peter Sheridan Dodds, Lewis Mitchell, Andrew J Reagan, Christopher M Danforth

    Published 2016-01-01
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  7. 7
    Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter.

    Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter. by Ryan J Gallagher, Andrew J Reagan, Christopher M Danforth, Peter Sheridan Dodds

    Published 2018-01-01
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  8. 8
    English verb regularization in books and tweets.

    English verb regularization in books and tweets. by Tyler J Gray, Andrew J Reagan, Peter Sheridan Dodds, Christopher M Danforth

    Published 2018-01-01
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  9. 9
    A decomposition of book structure through ousiometric fluctuations in cumulative word-time

    A decomposition of book structure through ousiometric fluctuations in cumulative word-time by Mikaela Irene Fudolig, Thayer Alshaabi, Kathryn Cramer, Christopher M. Danforth, Peter Sheridan Dodds

    Published 2023-04-01
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  10. 10
    The emotional arcs of stories are dominated by six basic shapes

    The emotional arcs of stories are dominated by six basic shapes by Andrew J Reagan, Lewis Mitchell, Dilan Kiley, Christopher M Danforth, Peter Sheridan Dodds

    Published 2016-11-01
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  11. 11
    Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.

    Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter. by Joshua R Minot, Michael V Arnold, Thayer Alshaabi, Christopher M Danforth, Peter Sheridan Dodds

    Published 2021-01-01
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  12. 12
    The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.

    The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. by Lewis Mitchell, Morgan R Frank, Kameron Decker Harris, Peter Sheridan Dodds, Christopher M Danforth

    Published 2013-01-01
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  13. 13
    Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll.

    Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll. by Emily M Cody, Andrew J Reagan, Lewis Mitchell, Peter Sheridan Dodds, Christopher M Danforth

    Published 2015-01-01
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  14. 14
    Social media usage patterns during natural hazards.

    Social media usage patterns during natural hazards. by Meredith T Niles, Benjamin F Emery, Andrew J Reagan, Peter Sheridan Dodds, Christopher M Danforth

    Published 2019-01-01
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  15. 15
    Positivity of the English language.

    Positivity of the English language. by Isabel M Kloumann, Christopher M Danforth, Kameron Decker Harris, Catherine A Bliss, Peter Sheridan Dodds

    Published 2012-01-01
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  16. 16
    Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.

    Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter. by Peter Sheridan Dodds, Kameron Decker Harris, Isabel M Kloumann, Catherine A Bliss, Christopher M Danforth

    Published 2011-01-01
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  17. 17
    The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity

    The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity by Kelsey Linnell, Michael Arnold, Thayer Alshaabi, Thomas McAndrew, Jeanie Lim, Peter Sheridan Dodds, Christopher M. Danforth

    Published 2021-09-01
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  18. 18
    Visitors to urban greenspace have higher sentiment and lower negativity on Twitter

    Visitors to urban greenspace have higher sentiment and lower negativity on Twitter by Aaron J. Schwartz, Peter Sheridan Dodds, Jarlath P. M. O'Neil‐Dunne, Christopher M. Danforth, Taylor H. Ricketts

    Published 2019-12-01
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  19. 19
    Gauging the happiness benefit of US urban parks through Twitter.

    Gauging the happiness benefit of US urban parks through Twitter. by Aaron J Schwartz, Peter Sheridan Dodds, Jarlath P M O'Neil-Dunne, Taylor H Ricketts, Christopher M Danforth

    Published 2022-01-01
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  20. 20
    The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series

    The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series by David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds

    Published 2020-02-01
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