Measures of centrality of vertices in a network are usually defined solely on the basis of the
network structure. In highly dynamic networks, where vertices appear and disappear and …

Recently, the emerging Social Internet of Things (SIoT) has opened up a myriad of research
opportunities. One of the most fundamental research challenges posed by SIoT and its …

Nowadays, social networks are inseparable part of people everyday life. Large amounts of
check-ins collected by location-based social networks (LBSNs) are rich information sources …

Properly incorporating location-uncertainties–which is, fully considering their impact when
processing queries of interest–is a paramount in any application dealing with spatio …

Rapid urbanization especially in developing countries has caused city populations to grow
exponentially. Extant methods fail to effectively capture regional scale mobility patterns as a …

This doctoral dissertation proposed several statistical approaches to analyse urban
dynamics with aiming to provide tools for decision making processes and urban studies. It …

Spatial-temporal data mining, with data driven model and machine learning techniques,
significantly benefit the traditional transportation research. This dissertation focus on three …

Regional economists are increasingly adopting spatial analytical and spatial econometric
perspectives to study questions related to local versus global spatial spillover effects. Recent …