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. 2014 Oct 2;10(10):e1003712. doi: 10.1371/journal.pcbi.1003712

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© 2014 Lohse et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Changes in maximum modularity as a function of the control parameter for soft thresholding. MRFs are presented for synthetic (fractal hierarchical, FR, in blue; Erdös-Rényi, ER, in black) and empirical (Brain fMRI in red) networks. Dots mark the peak value for different curves, which occur at different values of . The vertical dashed line marks the conventional value of obtained for . The single, point summary statistic fails to capture the full structure of the MRF revealed using soft thresholding.

Inline graphic — Changes in maximum modularity as a function of the control parameter for soft thresholding. MRFs are presented for synthetic (fractal hierarchical, FR, in blue; Erdös-Rényi, ER, in black) and empirical (Brain fMRI in red) networks. Dots mark the peak value for different curves, which occur at different values of . The vertical dashed line marks the conventional value of obtained for . The single, point summary statistic fails to capture the full structure of the MRF revealed using soft thresholding.