Mining multiple spatial–temporal paths from social media data

H Yao, M Xiong, D Zeng, J Gong - Future Generation Computer Systems, 2018 - Elsevier
Characterizing and mining people's individual mobility pattern (IMP) has recently attracted
much attention, and has shown great potential significance in many application fields, eg …

SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events

E Cesario, F Marozzo, D Talia, P Trunfio - Online Social Networks and …, 2017 - Elsevier
The widespread use of social media platforms allows scientists to collect huge amount of
data posted by people interested in a given topic or event. This data can be analyzed to infer …

Mining GPS data for mobility patterns: A survey

M Lin, WJ Hsu - Pervasive and mobile computing, 2014 - Elsevier
With the help of various positioning tools, individuals' mobility behaviors are being
continuously captured from mobile phones, wireless networking devices and GPS …

Mining massive-scale spatiotemporal trajectories in parallel: A survey

P Huang, B Yuan - Trends and Applications in Knowledge Discovery and …, 2015 - Springer
With the popularization of positioning devices such as GPS navigators and smart phones,
large volumes of spatiotemporal trajectory data have been produced at unprecedented …

Discovering locations and habits from human mobility data

T Andrade, B Cancela, J Gama - Annals of Telecommunications, 2020 - Springer
Human mobility patterns are associated with many aspects of our life. With the increase of
the popularity and pervasiveness of smartphones and portable devices, the Internet of …

Mining online footprints to predict user's next location

Q Huang - International Journal of Geographical Information …, 2017 - Taylor & Francis
Social media applications are widely deployed in mobile platforms equipped with built-in
GPS tracking devices, and these devices have led to an unprecedented collection of …

PRED: Periodic region detection for mobility modeling of social media users

Q Yuan, W Zhang, C Zhang, X Geng, G Cong… - Proceedings of the …, 2017 - dl.acm.org
The availability of massive geo-annotated social media data sheds light on studying human
mobility patterns. Among them, periodic pattern,\ie an individual visiting a geographical …

Mining human mobility data to discover locations and habits

T Andrade, B Cancela, J Gama - … 16–20, 2019, Proceedings, Part II, 2020 - Springer
Many aspects of life are associated with places of human mobility patterns and nowadays
we are facing an increase in the pervasiveness of mobile devices these individuals carry …

[PDF][PDF] Spatio-temporal knowledge discovery from georeferenced mobile phone data

Y Yuan, M Raubal - Proceedings of the 2010 Movement Pattern Analysis …, 2010 - Citeseer
Information and communication technologies (ICTs), such as mobile phones and the
Internet, are increasingly pervasive in modern society. These technologies provide greater …

[HTML][HTML] Next place prediction based on spatiotemporal pattern mining of mobile device logs

S Lee, J Lim, J Park, K Kim - Sensors, 2016 - mdpi.com
Due to the recent explosive growth of location-aware services based on mobile devices,
predicting the next places of a user is of increasing importance to enable proactive …