Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …

Next point-of-interest (POI) recommendation has gained growing attention in recent years
due to the emergence of location-based social networks (LBSN) services. Most existing …

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 …

Friend recommendation is an important feature of social network applications to help people
make new friends and expand their social circles. However, the user-location and user-user …

Abstract Knowledge about the relationship between the spatial organisation of personal
social networks and physical mobility is important for understanding spatial problems and …

Modeling and predicting social interactions within shared physical spaces is key to
understanding human spatio-temporal behavior. Such models are essential for optimizing …

Human social interactions occur in group settings of varying sizes and locations, depending
on the type of social activity. The ability to distinguish group formations based on their …

Predicting human mobility patterns has many practical applications in urban planning, traffic
engineering, infectious disease epidemiology, emergency management and location-based …

The increasing accessibility to digital traces of human whereabouts in cities has offered
numerous new opportunities for exploring patterns of human mobility in urban spaces. Prior …