Please use this identifier to cite or link to this item:
http://earchive.tpu.ru/handle/11683/38159
Title: | Estimation of social network user's influence in a given area of expertise |
Authors: | Luneva, Elena Evgenievna Zamyatina, V. S. Banokin, Pavel Ivanovich Efremov, Aleksandr Aleksandrovich |
Keywords: | пользователи; социальные сети; области знаний; информационное воздействие; влияние |
Issue Date: | 2017 |
Publisher: | IOP Publishing |
Citation: | Estimation of social network user's influence in a given area of expertise / E. E. Luneva [et al.] // Journal of Physics: Conference Series. — 2017. — Vol. 803 : Information Technologies in Business and Industry (ITBI2016) : International Conference, 21–26 September 2016, Tomsk, Russian Federation : [proceedings]. — [012089, 6 p.]. |
Abstract: | Nowadays social networks are frequently used to express personal opinion on a topic of interest. Some users' opinion has more informational influence than others do. These users are called influential users. There are services that allow evaluating how popular and influential users are; however, any information on evaluation methods is proprietary and represents know-how of such software services. Furthermore, most services could not provide extensive data on the influential users within the specified area of knowledge. This article proposes the method of evaluating a user influence index within a social network in a given area of expertise. |
URI: | http://earchive.tpu.ru/handle/11683/38159 |
Appears in Collections: | Материалы конференций |
Files in This Item:
File | Description | Size | Format | |
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dx.doi.org-10.1088-1742-6596-803-1-012089.pdf | 775,95 kB | Adobe PDF | View/Open |
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