APPLYING SOCIAL MINING RESULTS FROM OPEN SOCIAL NETWORKS

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The advent of web-based communities and social networking sites has resulted in a massive amount of social networking data that is embedded with rich sets of meaningful social media knowledge. Social network analysis and the study of social structures using networks and graph theory help to find a systematic method or process for studying social networks. The article reveals the concept of intellectual analysis of social networks. The key aspect of the article is the application of the results of social network analysis to various branches of human activity.
Describes the benefits of using Social Mining to identify patterns in big data. Using Social Mining mechanisms, you can find non-trivial and, at first glance, non-obvious patterns in large volumes of information. The article provides examples of software that can be used to quickly collect and analyze data from social networks. Analytics services simplify work and increase opportunities on social networks. Social network analysis provides an effective system for discovering and interpreting online social connections.
Social network analytics goes beyond counting likes, reposts and links. This is a comprehensive indepth data analysis that helps to understand what attracts more attention or guide users when accessing the brand through social networks.

1. Analyzing Social Networks to Mine Important Friends / K.-S. Carson Leung, J. Irish, M. Medina, K. Syed // Social Media Mining and Social Network Analysis: Emerging Research. University of Manitoba, Canada. – 2013. – R. 15. DOI: 10.4018/978-1-4666-2806-9.ch006.

2. Intellektual'nyi analiz dannykh. Data Mining [Ehlektronnyi resurs] URL: https://studref.com/384541/informatika/intellektualnyy_analiz_dannyh_data_mining_text_mining_mining_primenenie_tsifrovom_biznese_poiskovye#478.

3. Social Mining: personification of offers on social networks [Ehlektronnyi resurs] URL: https://basegroup.ru/community/articles/customization.

4. Social media mining [Ehlektronnyi resurs] URL: https://en.wikipedia.org/wiki/Social_media_mining.

5. Analiz informatsii o pol'zovatelyakh s pomoshch'yu mekhanizmov Social Mining [Ehlektronnyi resurs] URL: https://www.jetinfo.ru/social-mining-analiz-dannykh-o-homo-socialis/.

6. Instrumenty dlya analitiki [Ehlektronnyi resurs] URL: https://vc.ru/marketing/278203-obzor-11-servisov-dlya-analitiki-instagram-akkaunta.

7. Mulyukova K.V. Comparative analysis of modern Data Mining tools / K.V. Mulyukova // Young scientist. – 2019. – № 1(239). – P. 19-21. — URL: https://moluch.ru/archive/239/55393 / (date of access: 03/17/2024).

8. Burko R.A. Social networks in modern society / R.A. Burko, T.V. Tereshina // Young scientist. – 2014. – № 7(66). – P. 607-608. – URL: https://moluch.ru/archive/66/11009/ (access date: 25.01.2024).

9. Soldatova G.V. Transformatsiya lichnosti podrostka v tsifrovom mire: tsifrovaya sotsializatsiya i onlain-riski / G.V. Soldatova. Moskva, 2018. – 92 s.

10. Kir'yakova N.A. Vliyanie sotsial'nykh setei na razvitie kommunikativnykh sposobnostei podrostkov / N.A. Kir'yakova // Nauchno-metodicheskii ehlektronnyi zhurnal «KontsepT». – 2017. – T. 29. – s. 161-168.

11. Martyshkin A.I. Modeli i sredstva sbora i predstavleniya informatsii iz otkrytykh sotsial'nykh setei dlya ispol'zovaniya v sistemakh prinyatiya reshenii / A.I. Martyshkin, D.V. Pashchenko, Penza: Izdvo Penz. gos. tekhnol. un-ta, 2019. – 196 s.

12. Analiz sotsial'nykh setei: metody i prilozheniya / A. Korshunov, I. Beloborodov, N. Buzun i dr. // Trudy Instituta sistemnogo programmirovaniya RAN. – 2014. – T. 26, № 1. – S. 439-456.

13. Batrinca B. Social media analytics: A survey of techniques, tools and platforms / B. Batrinca, P. Treleaven // AI & SOCIETY. – 2014. – № 30(1). – R. 89-116. DOI: 10.1007/s00146-014-0549-4.