Creating a Model of Hierarchical Interactions on the Social Network Twitter

Student: Smirnova Mariia

Educational Programme: Big Data Systems (Master)

Year of Graduation: 2020

Nowadays social networks tend to be the most accessible, transparent and candid source of data. Against the background of other social networks, Twitter is considered to be a well-organized channel of information spread, expressed in individual users’ posts, called tweets, related to their thoughts, opinions, points of view. It has been discovered that people tend to spread information with the use of «hashtag» feature, which, in turn, facilitate the community building and development hierarchically. This study aims to determine whether it is possible to predict tweets popularity with the use of the hierarchical interactions features. The master’s paper consists of 3 chapters, list of references with 19 sources of information, 8 appendixes, introduction and conclusion. Key words: twitter, regression model, keras prediction model.

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