Articles with public access mandates - Mark NewmanLearn more
Available somewhere: 35
Structure and inference in annotated networks
MEJ Newman, A Clauset
Nature communications 7 (1), 11863, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Equivalence between modularity optimization and maximum likelihood methods for community detection
MEJ Newman
Physical Review E 94 (5), 052315, 2016
Mandates: US National Science Foundation
Network structure from rich but noisy data
MEJ Newman
Nature Physics 14 (6), 542-545, 2018
Mandates: US National Science Foundation
Estimating the number of communities in a network
MEJ Newman, G Reinert
Physical review letters 117 (7), 078301, 2016
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Random graph models for dynamic networks
X Zhang, C Moore, MEJ Newman
The European Physical Journal B 90, 1-14, 2017
Mandates: US National Science Foundation, US Department of Defense
Aspirational pursuit of mates in online dating markets
EE Bruch, MEJ Newman
Science Advances 4 (8), eaap9815, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating
YO Kazakov, J Ongena, JC Wright, SJ Wukitch, E Lerche, MJ Mantsinen, ...
Nature Physics 13 (10), 973-978, 2017
Mandates: US Department of Energy, European Commission
Balance in signed networks
A Kirkley, GT Cantwell, MEJ Newman
Physical Review E 99 (1), 012320, 2019
Mandates: US National Science Foundation
20 years of network community detection
S Fortunato, MEJ Newman
Nature Physics 18 (8), 848-850, 2022
Mandates: US National Science Foundation, US Department of Defense
Bayesian inference of network structure from unreliable data
JG Young, GT Cantwell, MEJ Newman
Journal of Complex Networks 8 (6), cnaa046, 2020
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Message passing on networks with loops
GT Cantwell, MEJ Newman
Proceedings of the National Academy of Sciences 116 (47), 23398-23403, 2019
Mandates: US National Science Foundation
Structural inference for uncertain networks
T Martin, B Ball, MEJ Newman
Physical Review E 93 (1), 012306, 2016
Mandates: US National Science Foundation
Estimating network structure from unreliable measurements
MEJ Newman
Physical Review E 98 (6), 062321, 2018
Mandates: US National Science Foundation
Improved mutual information measure for clustering, classification, and community detection
MEJ Newman, GT Cantwell, JG Young
Physical Review E 101 (4), 042304, 2020
Mandates: US National Science Foundation
Consistency of community structure in complex networks
MA Riolo, MEJ Newman
Physical Review E 101 (5), 052306, 2020
Mandates: US National Science Foundation
Community detection in networks with unequal groups
P Zhang, C Moore, MEJ Newman
Physical review E 93 (1), 012303, 2016
Mandates: US National Science Foundation
Belief propagation for networks with loops
A Kirkley, GT Cantwell, MEJ Newman
Science Advances 7 (17), eabf1211, 2021
Mandates: US National Science Foundation, US Department of Defense
Reconstruction of plant–pollinator networks from observational data
JG Young, FS Valdovinos, MEJ Newman
Nature Communications 12 (1), 3911, 2021
Mandates: US National Science Foundation
Structure of online dating markets in US cities
EE Bruch, MEJ Newman
Sociological Science 6, 219-234, 2019
Mandates: US National Science Foundation, US National Institutes of Health
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