Метод выявления воздействия на человека и социальные группы в социальной сети Twitter

Bibliografski detalji
Parent link:Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XV Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 24-27 апреля 2018 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2018
Т. 7 : IT-технологии и электроника.— 2018.— [С. 63-65]
Glavni autor: Гончаров А. С. Аркадий Сергеевич
Autor kompanije: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Daljnji autori: Саклаков В. М. Василий Михайлович (727), Иванов М. А. Максим Анатольевич
Sažetak:Заглавие с экрана
Any communication between individuals and groups is aimed at obtaining the desired result by influencing each other. Modern technologies allow monitoring this influence and analyzing the data obtained. The present work is devoted to development of a graphical tool for data analytics obtained from the social network Twitter: the algorithm of the program and its result is presented. Even the primary results of data analysis show the relevance of using the proposed method of analyzing information. It allows you to cluster the statements of users and visually represents the interconnection of the most popular of them.
Jezik:ruski
Izdano: 2018
Teme:
Online pristup:http://earchive.tpu.ru/handle/11683/50938
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=627699
Opis
Sažetak:Заглавие с экрана
Any communication between individuals and groups is aimed at obtaining the desired result by influencing each other. Modern technologies allow monitoring this influence and analyzing the data obtained. The present work is devoted to development of a graphical tool for data analytics obtained from the social network Twitter: the algorithm of the program and its result is presented. Even the primary results of data analysis show the relevance of using the proposed method of analyzing information. It allows you to cluster the statements of users and visually represents the interconnection of the most popular of them.