Reference : Quantifying location sociality

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/31597

Title :	Quantifying location sociality
Language :	English
Author, co-author :	Pang, Jun [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Zhang, Yang []
Publication date :	2017
Main document title :	Proc. 28th ACM Conference on Hypertext and Social Media - HT'17
Publisher :	ACM Press
Pages :	145-154
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	28th ACM Conference on Hypertext and Social Media
Event date :	2017
Target :	Researchers ; Students ; General public
Permalink :	http://hdl.handle.net/10993/31597
DOI :	10.1145/3078714.3078729

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access HT17.pdf Author postprint 1.95 MB View/Open

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