FBI: friendship learning-based user identification in multiple social networks

Qu, Youyang, Yu, Shui, Zhou, Wanlei and Niu, Jianwei 2018, FBI: friendship learning-based user identification in multiple social networks, in GLOBECOM2018 : Proceedings of the 2018 IEEE Global Communications Conference : Gateway to a Connected World, IEEE, Piscataway, N.J., doi: 10.1109/GLOCOM.2018.8647771.

Attached Files
Name Description MIMEType Size Downloads

Title FBI: friendship learning-based user identification in multiple social networks
Author(s) Qu, YouyangORCID iD for Qu, Youyang orcid.org/0000-0002-2944-4647
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Niu, Jianwei
Conference name Global Communications. Conference (2018 : Abu Dhabi, United Arab Emirates)
Conference location Abu Dhabi, United Arab Emirates
Conference dates 2018/12/09 - 2018/12/13
Title of proceedings GLOBECOM2018 : Proceedings of the 2018 IEEE Global Communications Conference : Gateway to a Connected World
Publication date 2018
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
PRIVACY
ISBN 9781538647271
Language eng
DOI 10.1109/GLOCOM.2018.8647771
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30129127

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 35 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 22 Aug 2019, 12:42:35 EST

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.