Approach to classification of users on social networks

Authors

  • Анна Александровна Куликова Харьковский национальный университет радиоэлектроники пр. Ленина,14, г. Харьков, Украина, 61166, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2011.1488

Keywords:

Social networks, classification, spam, algorithm

Abstract

The problem of spam in social networks, legitimate and non-legitimate users’ classification is considered in this article

Author Biography

Анна Александровна Куликова, Харьковский национальный университет радиоэлектроники пр. Ленина,14, г. Харьков, Украина, 61166

Магистрант

Кафедра искусственного интеллекта

References

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  4. Webb, S. Honeypots: Making Friends With A Spammer Near You [Text] / S. Webb , J. Caverlee, C. Pu // Proceedings of the Fifth Conference on Email and Anti-Spam (CEAS 2008), 21 August, 2008. – Mountain View, 2008.
  5. Heymann, P. Fighting Spam on Social Web-sites: A Survey of Approaches and Future Challenges [Text] / P. Heymann, G. Koutrika, P. Garcia-Molina // IEEE Internet Computing. – 2007. – Vol. 11, № 6. – P. 36–45.
  6. Webb, S. Uncovering Social Spammers: Social Honeypots+Machine Learning [Text] / S. Webb , J. Caverlee, K. Lee // Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010), 19–23 July 2010, Geneva, Switzerland. – Geneva, 2010.
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  8. Terziyan, V. A Bayesian Metanetwork [Text] / V. Terziyan // International Journal of Artificial Intelligence Tools. – 2005. – Vol. 14, № 3. – P. 371–384.

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How to Cite

Куликова, А. А. (2011). Approach to classification of users on social networks. Eastern-European Journal of Enterprise Technologies, 3(2(51), 14–18. https://doi.org/10.15587/1729-4061.2011.1488

Issue

Vol. 3 No. 2(51) (2011): Information technology

Section

Information technology

License

Copyright (c) 2014 Анна Александровна Куликова

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