Peter Dodds (mathematician)

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Peter Sheridan Dodds
Born
Alma materUniversity of Melbourne, B. Sci. & B. of Electrical Engineering, 1993, Master of Science in Theoretical & Mathematical Physics, 1994; Massachusetts Institute of Technology, 2000.
SpouseAimee Picchi
AwardsFellow of the Network Science Society (NetSci), 2021.
Scientific career
FieldsApplied mathematics, Sociology, Complex systems, Physics, Computer science, Computational biology, Geology
ThesisGeometry of River Networks (2000)
Doctoral advisorDaniel H. Rothman
Doctoral studentsRoby Muhamad, Matthew J. Salganik
Websitepetersheridandodds.com

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.[1][2]

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.[3][4]

In Dodds's early career, from 2002 to 2007, he was a frequent collaborator of Duncan J. Watts.

Selected works[edit]

  • Dodds, P. S., Alshaabi, T., Fudolig, M. I., Zimmerman, J. W., Lovato, J., Beaulieu, S., Minot, J. R., Arnold, M. V., Reagan, A. J., & Danforth, C. M. (2021). Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias. ArXiv:2110.06847 [Physics]. arxiv.org/abs/2110.06847
  • Dodds, P. S., Harris, K. D., Kloumann, I. M., Bliss, C. A., & Danforth, C. M. (2011). Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter. PLoS ONE, 6(12), e26752. doi.org/10.1371/journal.pone.0026752
  • Dodds, P. S., Minot, J. R., Arnold, M. V., Alshaabi, T., Adams, J. L., Dewhurst, D. R., Gray, T. J., Frank, M. R., Reagan, A. J., & Danforth, C. M. (2020). Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems. ArXiv:2002.09770 [Physics].
  • Dodds, P. S., Minot, J. R., Arnold, M. V., Alshaabi, T., Adams, J. L., Dewhurst, D. R., Reagan, A. J., & Danforth, C. M. (2021). Fame and Ultrafame: Measuring and comparing daily levels of `being talked about’ for United States’ presidents, their rivals, God, countries, and K-pop. ArXiv:1910.00149 [Physics].

References[edit]

  1. ^ "Peter Dodds". Vermont Complex Systems. Retrieved 15 November 2020.
  2. ^ "Science of Stories Collection". PlOS. 3 February 2020. Retrieved 15 November 2020.
  3. ^ Schwartz, Casey (12 October 2020). "Is Everybody Doing... OK? Let's Ask Social Media". The New York Times. Retrieved 15 November 2020.
  4. ^ McGreevy, Nora. "New Research Suggests We're Living in Historically Unhappy Times". Smithsonian Magazine. Retrieved 15 November 2020.

External links[edit]