Temporal Networks Based Industry Identification for Bitcoin Users

Reference : Temporal Networks Based Industry Identification for Bitcoin Users


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/48111

Title :	Temporal Networks Based Industry Identification for Bitcoin Users
Language :	English
Author, co-author :	Han, Weili []
	Chen, Dingjie []
	Pang, Jun [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Wang, Kai []
	Chen, Chen []
	Huang, Dapeng []
	Fan, Zhijie []
Publication date :	2021
Main document title :	Proceedings of 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA'21)
Publisher :	Springer
Collection and collection volume :	Lecture Notes in Computer Science 12937
Pages :	108-120
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	16th International Conference on Wireless Algorithms, Systems, and Applications
Event date :	2021
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/48111
DOI :	10.1007/978-3-030-85928-2_9

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