Diffusion patterns of social network posts A. Gubanov, Y. Mundrievskaya, I. M. Pu
Material type:
ArticleContent type: Текст Media type: электронный Subject(s): распространение информации | посты | репосты | социальные сети | математическое моделирование | социальные медиа | вероятностьGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Patterns 2020 : the Twelfth international conferences on pervasive patterns and applications, October 25-29, 2020 P. 1-5Abstract: Social network posts as an efficient means of communication directly reflect users’ interests and engagements. Despite challenges there are strong interests in understanding how social network posts efficiently spread information. In this article some diffusion patterns of social network posts are explored. The information spreading via post chains based on partial data of popular social network is studied to gain insights of the problem of information diffusion. Mathematical models for information cascades are proposed and future research directions are discussed.
Библиогр.: 16 назв.
Social network posts as an efficient means of communication directly reflect users’ interests and engagements. Despite challenges there are strong interests in understanding how social network posts efficiently spread information. In this article some diffusion patterns of social network posts are explored. The information spreading via post chains based on partial data of popular social network is studied to gain insights of the problem of information diffusion. Mathematical models for information cascades are proposed and future research directions are discussed.
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