Модель оценивания резонансности события на основе анализа информации, размещаемой в youtube.com
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

A model for evaluating the resonance of an event based on the analysis of information posted in the youtube.com

Sazonov M.A.   Volkov I.Y.   Perelygin I.V.  

UDC 004.046
DOI: 10.26102/2310-6018/2020.31.4.011

  • Abstract
  • List of references
  • About authors

The article deals with the actual problem of assessing the degree of resonance of an event based on the study of relevant videos and comments to them posted on the service youtube.com. The research was conducted with the aim of timely and reasonable identification of events that have signs of public resonance. To achieve this goal, the concept of public response and the mechanisms of development of this phenomenon are considered. Based on the analysis of methods and approaches to assessing public opinion, a model for assessing the resonance of an event has been developed. It is based on measuring the angle of inclination of the tangent to the graph of the distribution of the number of comments in time relative to the abscissa axis. To measure the slope of the tangent, cubic spline interpolation is selected. Based on the proposed approach, software has been developed to collect data on the distribution of the number of comments over time. It also builds an approximated graph and measures the slope of the tangent at any point on the graph to find the maximum value. Using the approach presented in the article, you can automatically identify the most resonant events, the content of which is presented in video format on video hosting sites. It is assumed that comments on them can be freely posted.

1. Mediascope, Web Index, Mart 2018, Rossiya 100+, Vse 12-64. Available at: https://mediascope.net/data/?download=3184&date=2018%2003&set_filter=Y&FILTER_ TYPE=internet (accessed 01.09.2019).

2. Kara-Murza S.G. Manipulyaciya soznaniem. M. Izdatel`stvo «Algoritm». 2000:464.

3. Korshunov A., Beloborodov I., Buzun N., Avanesov V., Pastuxov R., Chixradze K., Kozlov I., Gomzin A., Andrianov I., Sy`soev A., Ipatov S., Filonenko I., Chuprina K., Turdakov D., Kuzneczov S. Analiz social`ny`x setej: metody` i prilozheniya. Trudy` ISP RAN. 2014;1. Available at: https://cyberleninka.ru/article/n/analiz-sotsialnyh-setey-metody-i-prilozheniya (accessed 02.09.2019).

4. Smirnova O.S., Petrov A.I., Babijchuk G.A. Osnovny`e metody` analiza, ispol`zuemy`e pri issledovanii social`ny`x setej. Modern information technologies and it-education. 2016;3-1. Available at: https://cyberleninka.ru/article/n/osnovnye-metody-analiza-ispolzuemye-priissledovanii-sotsialnyh-setey (accessed 02.09.2019).

5. Bartunov S., Korshunov A. Identifikaciya pol`zovatelej social`ny`x setej v Internet na osnove social`ny`x svyazej. Doklady` Vserossijskoj nauchnoj konferencii «Analiz izobrazhenij, setej i tekstov» – AIST'2012. Ekaterinburg, 16-18 marta. 2012.

6. Buzun N., Korshunov A. Vy`yavlenie peresekayushhixsya soobshhestv v social`ny`x setyax. Doklady` Vserossijskoj nauchnoj konferencii «Analiz izobrazhenij, setej i tekstov» – AIST'2012. Ekaterinburg, 16-18 marta. 2012.

Sazonov Mikhail Anatolevich

Email: sma77@list.ru

Russian Federation Security Guard Service Federal Academy

Orel, Russian Federation

Volkov Ivan Yuryevich

Email: www434940@yandex.ru

Russian Federation Security Guard Service Federal Academy

Orel, Russian Federation

Perelygin Igor Valeryevich

Email: www434940@yandex.ru

Russian Federation Security Guard Service Federal Academy

Orel, Russian Federation

Keywords: video hosting, event resonance, information and analytical activities, public opinion, video hosting monitoring, event resonance assessment

For citation: Sazonov M.A. Volkov I.Y. Perelygin I.V. A model for evaluating the resonance of an event based on the analysis of information posted in the youtube.com. Modeling, Optimization and Information Technology. 2020;8(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=857 DOI: 10.26102/2310-6018/2020.31.4.011 (In Russ).

517

Full text in PDF