ВОЗМОЖНОСТЬ ИСПОЛЬЗОВАНИЯ МЕТОДОВ ПОЧТИ – ПЕРИОДИЧЕСКИХ ФУНКЦИЙ, ВЕЙВЛЕТ АНАЛИЗА И ТЕОРИИ САМОПОДОБИЯ ХЁРСТА ДЛЯ ПРОГНОЗИРОВАНИЯ НОВОСТНЫХ СОБЫТИЙ В ИНФОРМАЦИОННОМ ПРОСТРАНСТВЕ

Дмитрий Олегович Жуков; Ольга Александровна Новикова; Антон Сергеевич Алёшкин

doi:10.25559/SITITO.2017.1.445

Дмитрий Олегович Жуков Moscow Technological University MIREA
Ольга Александровна Новикова Moscow Technological University MIREA
Антон Сергеевич Алёшкин Moscow Technological University MIREA

DOI: https://doi.org/10.25559/SITITO.2017.1.445

Abstract

In the present paper we consider the possibility of using methods almost - periodic functions, wavelet analysis and self-similarity Hurst to analyze the behavior of the spectra over time vectors that define the position of the cluster of news reports in the information space. The essence of the authors approach is to apply the methods of mathematical linguistics (text markup, normalization, comment) for the creation of a dictionary and a collection of news text messages linked to the timeline. This makes it possible, using standard methods, to create a newsletter for each of its vector representation. For the entire set of vectors presented in the article it is proposed to introduce the concept of the director (notional axis, characterizing the basic direction of the vectors). Change over time metrics (cosine of the angle) of the vectors that define the position of the centers of clusters with respect to directors form spectra of information processes. Analysis by the methods of almost - periodic functions, wavelet analysis and self-similarity Hurst can help identify the presence of recurrence of certain groups of social events, and thus predict their possible manifestation in the future.

Author Biographies

Дмитрий Олегович Жуков, Moscow Technological University MIREA

doctor of technical sciences, professor, Deputy Director for Research of The Institute of Comprehensive Security and Special Instrumentation

Ольга Александровна Новикова, Moscow Technological University MIREA

Competitor, deputy head of postgraduate study

Антон Сергеевич Алёшкин, Moscow Technological University MIREA

Candidate of technical sciences, Associate Professor of the Department of Automated Control Systems of the Institute of Comprehensive Security and Special Instrumentation

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