Discovering most significant news using network science approach
Автор: Blokh Ilya, Alexandrov Vassil
Журнал: Вестник Пермского университета. Серия: Математика. Механика. Информатика @vestnik-psu-mmi
Рубрика: Информатика. Информационные системы
Статья в выпуске: 1 (28), 2015 года.
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The role of social network mass media increased greatly in the recent years. News publications in Twitter were investigated from the point of view of Network Science. News data posted by the most popular media sources was analyzed to reveal the most significant news over some period of time. Significance is a qualitative property that reflects the news impact degree at society and public opinion. Threshold of significance defined and a number of news which were significant for society in period from July 2014 up to January 2015 discovered.
Network science, significant news, scale free networks
Короткий адрес: https://sciup.org/14729966
IDR: 14729966