Анализ взаимодействия пользователей сети Twitter; Перспективы развития фундаментальных наук; Т. 3 : Математика
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XIII Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 26-29 апреля 2016 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2016 Т. 3 : Математика.— 2016.— [С. 57-59] |
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| Hlavní autor: | |
| Korporace: | , |
| Další autoři: | , , |
| Shrnutí: | Заглавие с титульного экрана In our experiment, we present an empirical analysis of influence patterns in the social network Twitter.Using Twitter dataset we compare three different measures of influence: followers, retweets, and mentions. Weexamine how the three types of influential users performed in spreading popular news topics. The number offollowers represents popularity of a user; retweets represent the content value of one's tweets; and mentionsrepresent the name value of a user. Results are providing a better understanding of the different roles users play in social media. |
| Jazyk: | ruština |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | http://earchive.tpu.ru/handle/11683/25921 |
| Médium: | Elektronický zdroj Kapitola |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=618225 |
| Shrnutí: | Заглавие с титульного экрана In our experiment, we present an empirical analysis of influence patterns in the social network Twitter.Using Twitter dataset we compare three different measures of influence: followers, retweets, and mentions. Weexamine how the three types of influential users performed in spreading popular news topics. The number offollowers represents popularity of a user; retweets represent the content value of one's tweets; and mentionsrepresent the name value of a user. Results are providing a better understanding of the different roles users play in social media. |
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