Estimation of social network user's influence in a given area of expertise

Podrobná bibliografie
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012089, 6 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Další autoři: Luneva E. E. Elena Evgenievna, Zamyatina V. S., Banokin P. I. Pavel Ivanovich, Efremov A. A. Aleksandr Aleksandrovich
Shrnutí:Title screen
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.
Vydáno: 2017
Témata:
On-line přístup:http://dx.doi.org/10.1088/1742-6596/803/1/012089
http://earchive.tpu.ru/handle/11683/38159
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654362
Popis
Shrnutí:Title screen
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.
DOI:10.1088/1742-6596/803/1/012089