Core team:


Brian Tivnan

University of Vermont

MITRE Corporation, Chief Engineer

Tivnan, a UVM Complex Systems Center affiliate, is the Burlington site leader and chief engineer in the Modeling & Simulation Department for the MITRE Corporation, a not-for-profit organization that manages federally funded research and development centers, partnering with government sponsors to support their crucial operational missions. His current research interests include the study of conflict and quantitative finance.


Most recent papers:

Brian Tivnan, Matthew Koehler, David Slater, Jason Veneman. Towards a model of the US stock market: How important is the securities information processor?. Simulation Conference (WSC), 2017 Winter, 1181-1192, , 2017.
[pdf] [journal page]
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]
Mert Bakirci, Jason Veneman, Brian Tivnan, Jim Bagrow, Paul Hines. Reducing cascading failure risk by increasing infrastructure network interdependence. Scientific Reports, 44499, 7, 2017.
[pdf] [journal page]
Richard Bookstaber, Mark Paddrik, Brian Tivnan. An agent-based model for financial vulnerability. Journal of Economic Interaction and Coordination, 1-34, , 2017.
[pdf] [journal page]
Richard Bookstaber, Mike Foley, Brian Tivnan. Toward an understanding of market resilience: market liquidity and heterogeneity in the investor decision cycle. Journal of Economic Interaction and Coordination, 205-227, 11, 2016.
[pdf] [journal page]
Andy Reagan, Brian Tivnan, Jake Williams, Chris Danforth, Peter Sheridan Dodds. Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs. Preprint, 2015.
[pdf] [arXiv]
Peter Sheridan Dodds, Eric Clark, Suma Desu, Morgan Frank, Andy Reagan, Jake Williams, Lewis Mitchell, Isabel Kloumann, Jim Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian Tivnan, Chris Danforth, Kameron D. Harris. Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. Proceedings of the National Academy of Sciences, E2984–E2985, 112, 2015.
[pdf] [journal page] [arXiv] [online appendices]
Peter Sheridan Dodds, Eric Clark, Suma Desu, Morgan Frank, Andy Reagan, Jake Williams, Lewis Mitchell, Kameron D. Harris, Isabel Kloumann, Jim Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian Tivnan, Chris Danforth. Human language reveals a universal positivity bias. Proceedings of the National Academy of Sciences, 2389-2394, 112, 2015.
[pdf] [journal page] [arXiv] [online appendices]