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. Attached Files Name Description MIMEType Size Downloads 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, 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 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Tue, 18 Aug 2020, 11:02:49 EST Wed, 19 Aug 2020, 05:00:24 EST Wed, 19 Aug 2020, 06:04:43 EST Fri, 11 Sep 2020, 14:36:15 EST Fri, 11 Sep 2020, 14:42:51 EST Tue, 29 Sep 2020, 10:36:52 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 34 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 18 Aug 2020, 11:02:49 EST

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