8 citations · 12 across the 3 of their papers we have counts for
7 papers
A Machine Learning Approach to Predicting Continuous Tie Strengths
James Flamino, Ross DeVito, Boleslaw K. Szymanski +1
Relationships between people constantly evolve, altering interpersonal behavior and defining social groups. Relationships between nodes in social networks can be represented by a t…
The power of dynamic social networks to predict individuals' mental health
Shikang Liu, David Hachen, Omar Lizardo +3
Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…
Heterogeneous network approach to predict individuals' mental health
Shikang Liu, Fatemeh Vahedian, David Hachen +4
Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…
Social Networks through the Prism of Cognition
Radosław Michalski, Bolesław K. Szymański, Przemysław Kazienko +3
Human relations are driven by social events-people interact, exchange information, share knowledge and emotions, and gather news from mass media. These events leave traces in human…
Long-term Compliance Habits: What Early Data Tells Us
Louis Faust, Priscilla Jiménez, David Hachen +3
The rise in popularity of physical activity trackers provides extensive opportunities for research on personal health, however, barriers such as compliance attrition can lead to su…
Influence of Personal Preferences on Link Dynamics in Social Networks
Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla +2
We study a unique network dataset including periodic surveys and electronic logs of dyadic contacts via smartphones. The participants were a sample of freshmen entering university…