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Title: Early identification of spammers through identity linking, social network and call features

Authors:
;
Publication Date:
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)
OSTI Identifier:
1550663
Grant/Contract Number:  
SFRH/BD/80135/2011
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Computational Science
Additional Journal Information:
Journal Name: Journal of Computational Science Journal Volume: 23 Journal Issue: C; Journal ID: ISSN 1877-7503
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Azad, Muhammad Ajmal, and Morla, Ricardo. Early identification of spammers through identity linking, social network and call features. Netherlands: N. p., 2017. Web. doi:10.1016/j.jocs.2016.10.019.
Azad, Muhammad Ajmal, & Morla, Ricardo. Early identification of spammers through identity linking, social network and call features. Netherlands. doi:10.1016/j.jocs.2016.10.019.
Azad, Muhammad Ajmal, and Morla, Ricardo. Wed . "Early identification of spammers through identity linking, social network and call features". Netherlands. doi:10.1016/j.jocs.2016.10.019.
@article{osti_1550663,
title = {Early identification of spammers through identity linking, social network and call features},
author = {Azad, Muhammad Ajmal and Morla, Ricardo},
abstractNote = {},
doi = {10.1016/j.jocs.2016.10.019},
journal = {Journal of Computational Science},
number = C,
volume = 23,
place = {Netherlands},
year = {2017},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.jocs.2016.10.019

Citation Metrics:
Cited by: 2 works
Citation information provided by
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