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Взаимосвязь сетевых характеристик и субъектности сетевых сообществ в социальной сети Твиттер

Вопросы кибербезопасности. 2020. Т. 37. № 3. С. 40-57.
Чеповский А. А., Воронин А. Н., Ковалева Ю. В.

The purpose of the study: analysis of the graph of interacting objects of social networks based on the selection of implicit communities, assessment of the subjectivity of the selected communities and comparison of the network characteristics of communities and various indicators of their subjectivity.

Method: communities detection on the constructed weighted graph of a social network, psycholinguistic analysis of community content using a list of discourse markers of subjectivity, statistical methods for identifying the relationship between network characteristics and the frequency of discourse markers.

Results: algorithms to construct a graph and to import user attributes were developed, an algorithm for dividing a weighted graph into implicit user communities was implemented, the subjectivity of the content of the selected network communities in the social network Twitter has was assessed, the relationship and directional shift in the connectivity of the graph and various indicators of the subjectivity of the network community were identified.