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. 2020 Apr 21;30(9):4771–4789. doi: 10.1093/cercor/bhaa060

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© The Author(s) 2020. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Prediction performance for links with different weights and distance. (A) Four classes of links from the experimental network grouped according to link weight (w) and distance (d). Dots represent all links in , including the existing links from CoCoMac dataset . Red and blue dots represent links that can be correctly predicted (TP) or cannot be predicted by a three-factor predictive model, respectively. (B) and (C) compare the sensitivity for different classes of links after applying predictive models with three factors or a single factor. (B) The sensitivity for the links with high (FLNe > 0.0015, black bars) or low (FLNe < 0.0015, white bars) experimental weights that are predicted by different models. (C) The sensitivity separately for the four classes shown in (A) by different models. Long (short)-distance links correspond to the pairs of connected regions with distances greater than 31.3 mm (less than half of the distance range).

Inline graphic — Prediction performance for links with different weights and distance. (A) Four classes of links from the experimental network grouped according to link weight (w) and distance (d). Dots represent all links in , including the existing links from CoCoMac dataset . Red and blue dots represent links that can be correctly predicted (TP) or cannot be predicted by a three-factor predictive model, respectively. (B) and (C) compare the sensitivity for different classes of links after applying predictive models with three factors or a single factor. (B) The sensitivity for the links with high (FLNe > 0.0015, black bars) or low (FLNe < 0.0015, white bars) experimental weights that are predicted by different models. (C) The sensitivity separately for the four classes shown in (A) by different models. Long (short)-distance links correspond to the pairs of connected regions with distances greater than 31.3 mm (less than half of the distance range).