Identifying Bots in Social Networks Using the Example of LiveJournal
https://doi.org/10.26794/2220-6469-2020-14-2-44-50
Abstract
Social networks have firmly entered the lives of billions of global Internet users worldwide. They communicate in social networks, play online games, make purchases, organise online events — exchange content from all walks of life [1, 2]. The most popular and well-known services in Russia are Vkontakte (vk.com), Youtube.com, Facebook.com, Odnoklassniki (Ok.ru), etc. The interfaces of such platforms allo — fake accounts. In this paper, we propose an approach to detect bots using the LiveJournal social network as an example. For this, we investigated the characteristics of the user’s egograph and performed a comparative analysis of the results of the classification algorithms.
About the Authors
A. A. Kochkarov
Finance University
Russian Federation
Russian Federation
Azret A. Kochkarov — Cand. Sci. (Phys.-Math.), Associate Professor, Department of Data Analysis, Decision Making and Financial Technologies
Moscow
N. V. Kalashnikov
Finance University
Russian Federation
Russian Federation
Nikita V. Kalashnikov — Postgraduate student,
Moscow
R. A. Kochkarov
Finance University
Russian Federation
Russian Federation
Rasul A. Kochkarov — Cand. Sci. (Econ.), Associate Professor, Department of Data Analysis, Decision Making and Financial Technologies
Moscow
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Review
For citations:
Kochkarov A.A., Kalashnikov N.V., Kochkarov R.A. Identifying Bots in Social Networks Using the Example of LiveJournal. The world of new economy. 2020;14(2):44-50. (In Russ.) https://doi.org/10.26794/2220-6469-2020-14-2-44-50
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