A Label-based Edge Partitioning for Multi-Layer Graphs

Simple item page
dc.contributor.author Constantin, Camelia
dc.contributor.author du Mouza, Cedric
dc.contributor.author Li, Yifan
dc.date.accessioned 2019-01-03T00:01:51Z
dc.date.available 2019-01-03T00:01:51Z
dc.date.issued 2019-01-08
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.269
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59660
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining and Machine Learning for Social Media
dc.subject Digital and Social Media
dc.subject multi-layer graphs, partitioning, social graphs
dc.title A Label-based Edge Partitioning for Multi-Layer Graphs
dc.type Conference Paper
dc.type.dcmi Text
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0220.pdf
Size:
528.23 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Data Analytics, Data Mining and Machine Learning for Social Media