Fig. 1.
Subfigure 1(a) depicts 2 egocentric networks, $ k $ and $ k^{\prime} $, with index participants $ 1k $ and $ 1k^{\prime} $, and their respective network members $ ik $ and $ ik^{\prime} $, $ i\gt1 $. $ 1k $ is randomized to the intervention, represented by a gray solid circle, while all participants not receiving the intervention are represented by white solid circles. Dashed circles represent out-of-sample individuals. Solid lines are the observed network connections between the index and their network members, while dashed lines are network connections that may exist but are unobserved. Subfigure 1(b) depicts the same egocentric networks in the presence of network misclassification, where solid lines are correctly measured network links, long dashed lines represent network links that were observed but not true, while dash-dot lines represent network links that were not observed but are true.

Subfigure 1(a) depicts 2 egocentric networks, |$ k $| and |$ k^{\prime} $|⁠, with index participants |$ 1k $| and |$ 1k^{\prime} $|⁠, and their respective network members |$ ik $| and |$ ik^{\prime} $|⁠, |$ i\gt1 $|⁠. |$ 1k $| is randomized to the intervention, represented by a gray solid circle, while all participants not receiving the intervention are represented by white solid circles. Dashed circles represent out-of-sample individuals. Solid lines are the observed network connections between the index and their network members, while dashed lines are network connections that may exist but are unobserved. Subfigure 1(b) depicts the same egocentric networks in the presence of network misclassification, where solid lines are correctly measured network links, long dashed lines represent network links that were observed but not true, while dash-dot lines represent network links that were not observed but are true.

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