An intrinsic authorship verification technique for compromised account detection in social networks-Reference-Cited by-同舟云学术

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An intrinsic authorship verification technique for compromised account detection in social networks

Published:2021-01-01 Issue:6 Volume:25 Page:4345-4366
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kaur Ravneet,Singh Sarbjeet,Kumar Harish

Funder

Ministry of Electronics and Information technology

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-020-05445-y.pdf

Reference67 articles.

1. Al-Andoli M, Cheah WP, Tan SC (2020) Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02389-x

2. Al-Ayyoub M, Al-andoli M, Jararweh Y, Smadi M, Gupta B (2019) Improving fuzzy c-mean-based community detection in social networks using dynamic parallelism. Comput Electr Eng 74:533–546

3. Al-Qurishi M, Alhuzami S, AlRubaian M, Hossain MS, Alamri A, Rahman MA (2018) User profiling for big social media data using standing ovation model. Multimed Tools Appl 77(9):11179–11201

4. Amato F, Moscato V, Picariello A, Sperli’ì G (2019) Extreme events management using multimedia social networks. Future Gener Comput Syst 94:444–452

5. Barbon S, Igawa RA, Zarpelao BB (2017) Authorship verification applied to detection of compromised accounts on online social networks. Multimed Tools Appl 76(3):3213–3233

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1. Crossing Linguistic Barriers: Authorship Attribution in Sinhala Texts;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

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