Twitter Critical Phases Identification Based on Time Series of Microposts Analysis

A. Dmitriev; V. Dmitriev; Balybin S.

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Twitter Critical Phases Identification Based on Time Series of Microposts Analysis

Ch. 2795. P. 140–145.

Дмитриев А. В., Дмитриев В. А., Balybin S.

Язык: английский

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Ключевые слова: self-organized criticality detrended fluctuation analysis Twitter time series самоорганизованная критичность Subcritical Phase Supercritical Phase DFA субкритическая фаза суперкритическая фаза временные ряды Twitter

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Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020)

Vol. 2795. , CEUR Workshop Proceedings, 2020.

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Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition. To empirically support the hypothesis, we find segments in hourly stock volume series for 3,000 stocks of publicly traded companies, corresponding to the time of stock exchange’s stay ...

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Twitter Self-Organization to the Edge of a Phase Transition: Discrete-Time Model and Effective Early Warning Signals in Phase Space

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Дмитриев А. В., Лебедев А. А., Корнилов В. В. и др., Frontiers in Physics 2023 Vol. 11 Article 1274685

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Multifractal Early Warning Signals about Sudden Changes in the Stock Exchange States

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Critical phenomena in stock exchange are regularly occurring and difficult to predict events, often leading to disastrous consequences. The presented paper is devoted to the search and research of early warning signals of critical transitions in stock exchange based on the results of a multifractal analysis of a series of transactions in shares of public ...

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Мартинез Саито М., Chaos, Solitons and Fractals 2022 Vol. 163 No. 2022 Article 112574

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Detection of Early Warning Signals for Self-organized Criticality in Cellular Automata

Дмитриев А. В., Kazmina A., Дмитриев В. А. и др., , in: 14th Chaotic Modeling and Simulation International Conference.: Springer, 2022. P. 121–133.

Добавлено: 13 июля 2022 г.

Early Warning Signals for Critical Transitions in Sandpile Cellular Automata

Дмитриев А. В., Корнилов В. В., Дмитриев В. А. и др., Frontiers in Physics 2022 Vol. 10 No. 839383 Article 839383

The sandpile cellular automata, despite the simplicity of their basic rules, are adequate mathematical models of real-world systems, primarily open nonlinear systems capable to self-organize into the critical state. Such systems surround us everywhere. Starting from processes at microscopic distances in the human brain and ending with large-scale water flows in the oceans. The detection ...

Добавлено: 14 марта 2022 г.

The Systemic Approach to Psychosomatic Health in the Era of COVID-19 Pandemic

Князева Е. Н., , in: WOSC 2021 Book of abstracts. World Organization of Systems and Cybernetics. WOSC Congress 2021. On-line 27. to 30. September 2021. Systems approach and cybernetics, engaging the future of mankind. The significance of systems and cybernetics in the future of societies.: OWN, 2021. Ch. 22 P. 18–18.

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1/x power‑law in a close proximity of the Bak–Tang–Wiesenfeld sandpile

Шаповал А. Б., Shapoval B., Shnirman M. G., Scientific Reports 2021 Vol. 11 Article 18151

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Князева Е. Н., Вестник Международной академии наук (Русская секция) 2021 № 1 С. 50–57

В статье обосновывается перспективность применения холистического подхода к поддержанию и укреплению психосоматического здоровья человека. Холистический подход связывается с доказательной клинической медициной, а не, как часто бывает, с альтернативными медицинскими практиками. Демонстрируется, что холистический подход тесно взаимосвязан с системным видением человеческого организма, рассмотрением человека как сложной системы или рискованной структуры в соответствии с концепцией самоорганизованной критичности ...

Добавлено: 28 августа 2021 г.

Identification of Self-Organized Critical State on Twitter Based on the Retweets' Time Series Analysis

Дмитриев А. В., Дмитриев В. А., Complexity 2021 Vol. 2021 Article 6612785

There is a number of studies, in which it is established that the observed flows of microposts generated by microblogging social networks (e.g., Twitter) are characterized by avalanche-like behavior. Time series of microposts depicting such streams are the time series with a power-law distribution, with 1/f noise and long memory. Despite this, there are no studies ...

Добавлено: 31 мая 2021 г.

Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results

Дмитриев А. В., Дмитриев В. А., Balybin S., Complexity 2019 Vol. 2019 No. Article ID 8750643 P. 1–16

Добавлено: 22 января 2020 г.