Network Growth Modeling to Capture Individual Lexical Learning

Table 2

Best performing models on each of the network representations.

Network	Model	Cent	Thresh	Density	llk	CDI llk
McRae	Lure	Close	0.091	0.192	0.402	0.432	0.143	0.759
Nelson	Lure	Degree	0.011	0.010	0.384	0.394	0.651	0.357
Phono	Lure	Close	0.101	0.956	0.364	0.380	0.377	0.672

Note. All models reliably outperform random (CDI llk) when applied to validation data. The network threshold (thresh) and network density as well as the log-likelihood of the model and the baseline CDI model are reported. The normalized logistic transform of the network () and CDI norms () is reported for comparison of the importance of the CDI norms versus the network word features.