Early identification of spammers through identity linking, social network and call features
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE), Nuclear Fuel Cycle and Supply Chain
- 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. https://doi.org/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. https://doi.org/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}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.jocs.2016.10.019
https://doi.org/10.1016/j.jocs.2016.10.019
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Cited by: 3 works
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