George T. Cantwell
George T. Cantwell
Santa Fe Institute
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Efficient method for estimating the number of communities in a network
MA Riolo, GT Cantwell, G Reinert, MEJ Newman
Physical review e 96 (3), 032310, 2017
462017
Balance in signed networks
A Kirkley, GT Cantwell, MEJ Newman
Physical Review E 99 (1), 012320, 2019
442019
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory
G Cantwell, MJ Crossley, FG Ashby
Psychonomic bulletin & review 22 (6), 1598-1613, 2015
292015
Message passing on networks with loops
GT Cantwell, MEJ Newman
Proceedings of the National Academy of Sciences 116 (47), 23398-23403, 2019
142019
Mixing patterns and individual differences in networks
GT Cantwell, MEJ Newman
Physical Review E 99 (4), 042306, 2019
132019
Improved mutual information measure for clustering, classification, and community detection
MEJ Newman, GT Cantwell, JG Young
12*
Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience
G Cantwell, M Riesenhuber, JL Roeder, FG Ashby
Neural Networks 89, 31-38, 2017
92017
Thresholding normally distributed data creates complex networks
GT Cantwell, Y Liu, BF Maier, AC Schwarze, CA Serván, J Snyder, ...
Physical Review E 101 (6), 062302, 2020
72020
Robust Bayesian inference of network structure from unreliable data
JG Young, GT Cantwell, MEJ Newman
arXiv preprint arXiv:2008.03334, 2020
12020
Inference for growing trees
GT Cantwell, G St-Onge, JG Young
arXiv preprint arXiv:1910.04788, 2019
1*2019
The friendship paradox in real and model networks
GT Cantwell, A Kirkley, MEJ Newman
arXiv preprint arXiv:2012.03991, 2020
2020
Message passing for probabilistic models on networks with loops
A Kirkley, GT Cantwell, MEJ Newman
arXiv preprint arXiv:2009.12246, 2020
2020
Correlation in Complex Networks
GT Cantwell
2020
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Articles 1–13