Fig. 7 | Scientific Reports

Fig. 7

From: Functional and structural clustering of social relationship layers among college students for link prediction with applications to perceived drinking networks

Fig. 7

AUC of link prediction on alcohol-related networks using other social layers. AUC of link prediction after removing information from the drinking least (a) and drinking most (b) layers, with varying levels of missing information (from 20% to 80%; x-axis). Each prediction is performed by first randomly removing a specified proportion \(p\)% (shown on the x-axis) of links from the target layer (i.e., drinking least in panel (a), drinking most in (b)), and then using the remaining \((100 - p)\%\) of links in the target layer together with all links from the designated source layers indicated in the legend. The source layers refer either to individual layers within a functional cluster (e.g., the Friendship cluster) or to composite layers constructed by merging the relevant layers using a logical OR operation, depending on the analysis condition (e.g., “OR Friendship” as shown in the legend). Specifically, OR denotes the logical OR operation over links in the listed layers. That is, a link exists in the “OR Friendship” layer if it appears in any of the friendship-related layers. ‘Single Layer’ uses only the remaining portion of the target layer for prediction. ‘All Layers’ adds full information from all other layers. Error bars represent the standard deviation across the nine student groups.

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