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Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou and Konstantinos Voudouris
Triggering hydrological simulations with climate change gridded datasets is one of the prevailing approaches in climate change impact assessment at a river basin scale, with bias correction and spatio-temporal interpolation being functions routinely used...
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Juglar Diaz, Felipe Bravo-Marquez and Barbara Poblete
The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information. Text data collected from location-based social networks can be u...
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Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng and Xican Wang
The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user?s next destinati...
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Xuehua Han and Juanle Wang
Public behavior in cyberspace is extremely sensitive to emergency disaster events. Using appropriate methodologies to capture the semantic evolution of social media users? behaviors and discover how it varies across geographic space and time still presen...
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Zheng Li, Xueyuan Huang, Chun Liu and Wei Yang
As the core of location-based social networks (LBSNs), the main task of next point-of-interest (POI) recommendation is to predict the next possible POI through the context information from users? historical check-in trajectories. It is well known that sp...
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