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Correlation matrix for the different tie features considered in the model.
A simple inspection of how persistence depends on some tie features corroborates some results found in the literature.
Within that framework, we define four categories of tie features: intensity, temporal, structural and intimacy features, and we will try to characterize which ties are the strongest (more persistent) according to these variables.
Although these individual results demonstrate the potential predictive power of our tie features, to get a complete picture of tie persistence we build a predictive model of tie decay based on all the features introduced in the last section.
Our 19 months database is divided in three periods, where the 7 months in the middle Ω is our observation period where all the tie features will be measured.
Furthermore, by building a highly accurate predictive model based on different tie features (structural, intensity, intimacy and temporal) we are able to show that temporal properties are indeed as important as intensity and much more than structural properties in predicting tie persistence.
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