Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute
changes to patterns present on the timescale of years. Accurate models of social dynamics …

This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale
research initiative aimed at generating innovations around smartphone-based research, as …

Cellular phones are now offering an ubiquitous means for scientists to observe life: how
people act, move and respond to external influences. They can be utilized as measurement …

Researchers studying daily life mobility patterns have recently shown that humans are
typically highly predictable in their movements. However, no existing work has examined the …

Several algorithms to predict the next place visited by a user have been proposed in the
literature. The accuracy of these algorithms--measured as the ratio of the number of correct …

The method to estimate the predictability of human mobility was proposed in Song et
al.(2010), which is extensively followed in exploring the predictability of disparate time …

Modern age offers a great potential for automatically predicting the driver's intent through the
increasing miniaturization of computing technologies, rapid advancements in …

The sequential recommendation is a compelling technology for predicting users' next
interaction via their historical behaviors. Prior studies have proposed various methods to …

While a social event, such as a concert or a food festival, is a common experience to people,
a natural disaster is experienced by a fewer individuals. The ordinary and common ground …

A large plethora of models to predict human mobility exists in the literature. The problem of
how to select the most appropriate model to solve a specific mobility prediction task has …