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A Machine Learning Approach to Predicting Continuous Tie Strengths
With these evolving tie values, we are able to make several empirically derived observations which we compare to past works.
The power of dynamic social networks to predict individuals' mental health
Precision medicine has received attention both in and outside the clinic.
Heterogeneous network approach to predict individuals' mental health
To identify individuals who are vulnerable to depression and anxiety, predictive models have been built that typically utilize data from one source.
Influence of Personal Preferences on Link Dynamics in Social Networks
We find that personal preferences, in particular political views, and preferences for common activities help predict link formation and dissolution in both the behavioral and cognitive networks.
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