@article{7e5e2ff73b214b88a2b163ca88d642f8,
title = "Real-time dynamic network learning for location inference modelling and computing",
abstract = "User location information contributes to in-depth social network data analytics. This special issue focuses on emerging techniques and trendy applications of real-time dynamic network learning in the fields such as neural network, dynamic network, spatial feature pattern recognition, and active learning. The research included at this special issue will also advance the location based services in real applications.",
author = "Jianxin Li and Aixin Sun and Ziyu Guan and Cheema, {Muhammad Aamir} and Geyong Min",
note = "Funding Information: This work is jointly supported by the National Key Research and Development Plan (2018YFC1106600, 2018YFE0104200), National Natural Science Foundation of China (No. 31670974, No. 31370954, No. 51901003), PLA Youth Project for Medical Science (18QNP057). Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2022",
month = feb,
day = "1",
doi = "10.1016/j.neucom.2021.10.086",
language = "English",
volume = "472",
pages = "198--200",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier BV",
}