Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …

As mobile ad hoc network applications are deployed, security emerges as a central
requirement. In this paper, we introduce the wormhole attack, a severe attack in ad hoc …

The digital transformation enables new business models and enhanced business processes
by utilizing available data for analytics, prediction, and decision support. We give an …

For intelligent urban transportation systems, the ability to predict individual mobility is crucial
for personalized traveler information, targeted demand management, and dynamic system …

The current research has aimed to investigate and develop machine-learning approaches
by using the data in the dataset to be applied to classify location-based social network data …

The current age of increased people mobility calls for a better understanding of how people
move: how many places does an individual commonly visit, what are the semantics of these …

Location-based social networks such as Swarm provide a rich source of information on
human behaviour and urban functions. Our analysis of data created by users who voluntarily …

In this paper we consider whether people with similar personality traits have a preference for
common locations. Due to the difficulty in tracking and categorising the places that …

The last decade has seen a huge expansion in the use of social media to extract data about
human behaviour. While metadata and textual information have taken the lion's share as …

It has been envisaged that in future 5G networks user devices will become an integral part
by participating in the transmission of mobile content traffic typically through device-to …