Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Dynamic graphs serve as a generic abstraction and description of the evolutionary
behaviors of various complex systems (eg, social networks and communication networks) …

Graphs arise naturally in many real-world applications including social networks,
recommender systems, ontologies, biology, and computational finance. Traditionally …

Despite the prevalence of recent success in learning from static graphs, learning from time-
evolving graphs remains an open challenge. In this work, we design new, more stringent …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

Research has proven that stress reduces quality of life and causes many diseases. For this
reason, several researchers devised stress detection systems based on physiological …

Understanding smartphone users is fundamental for creating better smartphones, and
improving the smartphone usage experience and generating generalizable and …

Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

Studying free-standing conversational groups (FCGs) in unstructured social settings (eg,
cocktail party) is gratifying due to the wealth of information available at the group (mining …

Ample theoretical work on social networks is explicitly or implicitly concerned with the role of
interpersonal interaction. However, empirical studies to date mostly focus on the analysis of …