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D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks

Zhang, Heng, Wang, Xiaofei, Chen, Jiawen, Wang, Chenyang and Li, Jianxin 2020, D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks, in AAAI 2020 : Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence and the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, AAAI Press, Palo Alto, Calif., pp. 295-302, doi: 10.1609/aaai.v34i01.5363.

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Title D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks
Author(s) Zhang, Heng
Wang, Xiaofei
Chen, Jiawen
Wang, Chenyang
Li, JianxinORCID iD for Li, Jianxin orcid.org/0000-0002-9059-330X
Conference name Association for the Advancement of Artificial Intelligence. Conference (34th: 2020 : New York, N.Y.)
Conference location New York, N.Y.
Conference dates 2020/02/07 - 2020/02/12
Title of proceedings AAAI 2020 : Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence and the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence
Publication date 2020
Series Association for the Advancement of Artificial Intelligence Conference
Start page 295
End page 302
Total pages 8
Publisher AAAI Press
Place of publication Palo Alto, Calif.
Keyword(s) Device-to-Device (D2D) communication
mobile device users
social network
online social network (OSN)
ISBN 978-1-57735-835-0
ISSN 2374-3468
Language eng
DOI 10.1609/aaai.v34i01.5363
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30140921

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.