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:

Exposure to urban parks improves affect and reduces negativity on Twitter.

Aaron Schwartz, Peter Sheridan Dodds, Jarlath O'Neil-Dunne, Chris Danforth, Taylor Ricketts. Preprint, 2018.
[pdf] [arXiv]

Continuum rich-get-richer processes: Mean field analysis with an application to firm size.

David Rushing Dewhurst, Chris Danforth, Peter Sheridan Dodds. Physical Review E, , 97, 2018.
[pdf] [journal page] [arXiv]

A simple person's approach to understanding the contagion condition for spreading processes on generalized random networks.

Peter Sheridan Dodds. Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks, 27, , 2018.
[pdf] [journal page] [arXiv]

Average individuals tweet more often during extreme events: An ideal mechanism for social contagion.

Meredith Niles, Benjamin Emery, Andy Reagan, Peter Sheridan Dodds, Chris Danforth. Preprint, 2018.
[pdf] [journal page] [arXiv]

(show all)

Most recent press: