Core team:


Peter Sheridan Dodds

University of Vermont

Vermont Complex Systems Center, Director

Peter's research focuses on system-level, big data problems in many areas including language and stories, sociotechnical systems, Earth sciences, biology, and ecology. Peter has created (and constantly evolves) a series of complex systems courses starting with Principles of Complex Systems. He co-runs the Computational Story Lab with Chris Danforth.


Most recent papers:

Eric Clark, Ted James, Chris Jones, Amulya Alapati, Promise Ukandu, Chris Danforth, Peter Sheridan Dodds. A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter. Preprint, 2018.
[pdf]
Ryan Gallagher, Andy Reagan, Chris Danforth, Peter Sheridan Dodds. Divergent Discourse Between Protests and Counter-Protests: #BlackLivesMatter and #AllLivesMatter. PLoS ONE, e0195644, 13, 2016.
[pdf] [journal page] [arXiv]
Tyler J. Gray, Andy Reagan, Peter Sheridan Dodds, Chris Danforth. English verb regularization in books and tweets. Preprint, 2018.
[pdf] [arXiv]
Andy Reagan, Chris Danforth, Brian Tivnan, Jake Williams, Peter Sheridan Dodds. Sentiment analysis methods for understanding large-scale texts: A case for using continuum-scored words and word shift graphs. EPJ Data Science, 28, 6, 2017.
[pdf] [arXiv]
David Rushing Dewhurst, Chris Danforth, Peter Sheridan Dodds. Continuum rich-get-richer processes: Mean field analysis with an application to firm size. Preprint, 2017.
[pdf] [arXiv]
Andrew G. Reece, Chris Danforth, Andy Reagan, Katharina L. M. Lix, Peter Sheridan Dodds, Ellen Langer. Forecasting the onset and course of mental illness with Twitter data. Scientific Reports, , , 2017.
[pdf] [journal page] [arXiv]
Peter Sheridan Dodds. Slightly generalized Generalized Contagion: Unifying simple models of biological and social spreading. Preprint, 2017.
[pdf] [arXiv]
Peter Sheridan Dodds. A simple person's approach to understanding the contagion condition for spreading processes on generalized random networks. Preprint, 2017.
[pdf] [arXiv]
Peter Sheridan Dodds, David Dewhurst, Fletcher F. Hazlehurst, Colin van Oort, Lewis Mitchell, Andy Reagan, Jake Williams, Chris Danforth. Simon's fundamental rich-gets-richer model entails a dominant first-mover advantage. Physical Review E, , 95, 2017.
[pdf] [journal page] [arXiv]
Mark Ibrahim, Peter Sheridan Dodds, Chris Danforth. Connecting every bit of knowledge: The structure of Wikipedia's First Link Network. Journal of Computational Science, 21-30, 19, 2017.
[pdf] [journal page] [arXiv] [online appendices]
(show all)

Most recent press:

Outside Magazine
2017-08-12
(show all)