Core team:


Jim Bagrow

University of Vermont

Department of Mathematics and Statistics, Assistant Professor

Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).


Most recent papers:

Jim Bagrow, Daniel Berenberg, Joshua Bongard. Neural language representations predict outcomes of scientific research. Preprint, 2018.
[pdf] [arXiv]
Jim Bagrow, Daniel Berenberg, Joshua Bongard. Supporting Material for “Neural language representations predict outcomes of scientific research”. Preprint, 2018.
[pdf]
Jim Bagrow, Erik M. Bollt. An information-theoretic, all-scales approach to comparing networks. Preprint, 2018.
[pdf] [arXiv]
Jim Bagrow, Lewis Mitchell. Measuring and Modeling the Flow of Information Online and on Networks. Bulletin of the American Physical Society, , , 2018.
[pdf] [journal page]
Jim Bagrow. Crowd ideation of supervised learning problems. Preprint, 2018.
[pdf] [arXiv]
Mark Wagy, Joshua Bongard, Jim Bagrow, Paul Hines. Crowdsourcing Predictors of Residential Electric Energy Usage. IEEE Systems Journal, , , 2017.
[pdf] [journal page] [arXiv]
Jim Bagrow, Lewis Mitchell. The quoter model: a paradigmatic model of the social flow of written information. Preprint, 2017.
[pdf] [arXiv]
Jim Bagrow, Xipei Liu, Lewis Mitchell. Information flow reveals prediction limits in online social activity. Preprint, 2017.
[pdf] [arXiv]
Thomas McAndrew, Elizaveta Guseva, Jim Bagrow. Reply & Supply: Efficient crowdsourcing when workers do more than answer questions. PLoS ONE, , 12, 2017.
[pdf] [journal page]
Jim Bagrow, Chris Danforth, Lewis Mitchell. Which friends are more popular than you?: Contact strength and the friendship paradox in social networks. ACM, 103-108, , 2017.
[pdf] [journal page] [arXiv]
(show all)