Critical Phases Identification Based on Time Series of Microposts AnalysisстатьяГлава в книге
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Дата последнего поиска статьи во внешних источниках: 17 августа 2021 г.
Аннотация:Based on the basic principles of the self-organized criticality theory, we proposed identifiersof network criticality. The identifiers allow you to determine the subcritical and supercriticalphases of Twitter, using only the results of the analysis of the time series of micro-posts. Themost significant result is the existence of two classes of time series of micro-posts and tweet Idscorresponding to them. The first class of the time series corresponds to the subcritical phase ofthe network. On the contrary, the second class corresponds to the supercritical phase.