Andrey Dmitriev

2023³

• Chapter Dmitriev A., Lebedev A., Abbas N., Victor Dmitriev, Kornilov V. Continuum Model of an Avalanche-Like Spread of Information on Twitter, in: AIP Conference Proceedings 2872: 11th Int’l Conference on Mathematical Modeling in Physical Sciences. Belgrade, Serbia, 5-8 September 2022. AIP Publishing LLC, 2023. doi Ch. 080002. P. 1-12. doi
• Article Dmitriev A., Lebedev A., Kornilov V., Dmitriev V. Effective precursors for self-organization of complex systems into a critical state based on dynamic series data // Frontiers in Physics. 2023. Vol. 11. Article 1274685. doi
• Article Dmitriev A., Lebedev A., Kornilov V., Dmitriev V. Twitter Self-Organization to the Edge of a Phase Transition: Discrete-Time Model and Effective Early Warning Signals in Phase Space // Complexity. 2023. Vol. 2023. Article 3315750. doi

2022³

• Chapter Dmitriev A., Kazmina A., Dmitriev V., Sanochkin Y., Gradusov E. Detection of Early Warning Signals for Self-organized Criticality in Cellular Automata, in: 14th Chaotic Modeling and Simulation International Conference. Springer, 2022. doi P. 121-133. doi
• Article Dmitriev A., Kornilov V., Dmitriev V., Abbas N. Early Warning Signals for Critical Transitions in Sandpile Cellular Automata // Frontiers in Physics. 2022. Vol. 10. No. 839383. Article 839383. doi
• Article Dmitriev A., Lebedev A., Kornilov V., Dmitriev V. Multifractal Early Warning Signals about Sudden Changes in the Stock Exchange States // Complexity. 2022. Vol. 2022. Article 8177307. doi

2021¹

2020²

• Chapter Dmitriev V., Dmitriev A., Maltseva S. V., Balybin S. Three-Parameter Kinetics of Self-organized Criticality on Twitter, in: Studies in Computational Intelligence (Complex Networks and Their Applications VIII) Vol. 881: Complex Networks and Their Applications VIII. Part 2. Springer, 2020. doi Ch. 881. P. 556-565. doi
• Chapter Dmitriev A., Dmitriev V., Balybin S. Twitter Critical Phases Identification Based on Time Series of Microposts Analysis, in: Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020) / Ed. by Alexander Shapoval, V. Popov, I. Makarov. Vol. 2795. CEUR Workshop Proceedings, 2020. Ch. 2795. P. 140-145.

2019⁵

• Chapter Dmitriev A., Silchev V., Dmitriev V. A Simple Econophysics Model of the Stock Market as a Nonequilibrium Open System, in: Lecture Notes in Electrical Engineering Vol. 489: Applied Physics, System Science and Computers II. Springer, 2019. doi P. 237-243. doi
• Chapter Dmitriev A., Kornilov V. Nonlinear random dynamical model for the stock market, in: Journal of Physics: Conference Series Vol. 1298. Issue 1. United Kingdom: Institute of Physics Publishing (IOP), 2019. P. 012009-1-012009-5. doi
• Chapter Kornilov V., Остроухов М. Н., Dmitriev A. Optimization of pathology diagnosis by applying chaos theory and fractal analysis to EEG-signal processing, in: Journal of Physics: Conference Series Vol. 1298. Issue 1. United Kingdom: Institute of Physics Publishing (IOP), 2019. Ch. 1298. P. 012015-1-012015-6. doi
• Article Dmitriev A., Dmitriev V., Balybin S. Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results // Complexity. 2019. Vol. 2019. No. Article ID 8750643. P. 1-16. doi
• Chapter Dmitriev A., Maltseva S. V., Tsukanova O. A., Dmitriev V. Theoretical Study of Self-organized Phase Transitions in Microblogging Social Networks, in: Studies in Computational Intelligence Vol. 813: Complex Networks and Their Applications VII. Part 2. Springer, 2019. doi P. 236-245. doi

2018³

• Chapter Dmitriev A., Dmitriev V., Tsukanova O. A., Maltseva S. V. A Nonlinear Dynamical Approach to the Interpretation of Microblogging Network Complexity, in: Studies in Computational Intelligence Vol. 689: Complex Networks & Their Applications VI. Springer, 2018. doi P. 390-400. doi
• Article Dmitriev A., Kornilov V., Maltseva S. V. Complexity of a microblogging social network in the framework of modern nonlinear science // Complexity. 2018. Vol. 2018. No. Article ID 4732491. P. 1-11. doi
• Article Dmitriev V., Dmitriev A. Investigation into the Regular and Chaotic States of Twitter // Discontinuity, Nonlinearity, and Complexity. 2018. Vol. 7. No. 4. P. 403-411. doi

2017⁴

• Article Твердислов В. А., Dmitriev A., Sidorova A. Active Media as a Physical Model of Spatiotemporal Self-Organization in the Stock Market // Bulletin of the Russian Academy of Sciences: Physics. 2017. Vol. 81. No. 1. P. 114-120. doi
• Chapter Dmitriev A., Tsukanova O. A., Maltseva S. V. Modeling of Microblogging Social Networks: Dynamical System vs. Random Dynamical System, in: Procedia Computer Science Vol. 122: 5th International Conference on Information Technology and Quantitative Management. Elsevier, 2017. doi P. 812-819. doi
• Chapter Dmitriev A., Silchev V., Dmitriev V., Maltseva S. V. Nonlinear Dynamical Analysis of Twitter Time Series, in: Proceedings of International Work-Conference on Time Series (ITISE 2017) Vol. 2. Granada : Godel Impresiones Digitales S.L., 2017. Ch. 2. P. 1219-1230.
• Chapter Dmitriev A., Dmitriev V., Сагайдак О. И., Tsukanova O. A. The Application of Stochastic Bifurcation Theory to the Early Detection of Economic Bubbles, in: Procedia Computer Science Vol. 122: 5th International Conference on Information Technology and Quantitative Management. Elsevier, 2017. doi P. 354-361. doi

2016³

• Article Markov N., Dmitriev V., Maltseva S. V., Dmitriev A. Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market // Financial Assets and Investing. 2016. Vol. 7. No. 3. P. 5-19. doi
• Chapter Dmitriev A., Tsukanova O. A., Maltseva S. V. Investigation into the Regular and Chaotic States of Microblogging Networks as Applied to Social Media Monitoring, in: IEEE 13th International Conference on e-Business Engineering. IEEE, 2016. P. 293-298. doi
• Chapter Tsukanova O. A., Dmitriev A., Maltseva S. V. Network Evolution Modeling under Conditions of Change in the Data Exchange Rate, in: IEEE 18th Conference on Business Informatics Vol. 2: Short and Workshop Papers. IEEE, 2016. P. 68-71. doi

2015⁵

• Chapter Markov N., Dmitriev V., Maltseva S. V., Dmitriev A. Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market, in: European Financial Systems 2015. Proceedings of the 12th International Scientific Conference. Brno : Masarykova univerzita, 2015. P. 375-381.
• Article Markov N., Dmitriev A., Maltseva S. V. Double Layer Interval Graph Model: The Universal Tool for Data Driven Market Analysis and Forecasting // Procedia Computer Science. 2015. Vol. 55. P. 1165-1173. doi
• Chapter Markov N., Dmitriev A., Maltseva S. V. Double layer interval graph model: The universal tool for data driven market analysis and forecasting, in: Procedia Computer Science. 3rd International Conference on Information Technology and Quantitative Management, ITQM 2015 Vol. Volume 55. Amsterdam : Elsevier, 2015. P. 1165-1173.
• Article Dmitriev V., Dmitriev A., Maltseva S. V. The Nonlinear Differential Dynamics of Interdependent Branches of Industry // International Journal of Business and Management Study. 2015. Vol. 2. No. 2. P. 113-117.
• Chapter Dmitriev V., Maltseva S. V., Dmitriev A. The Nonlinear Differential Dynamics of Interdependent Branches of Industry, in: Proceedings of 2nd International Conference on Advances in Management, Economics and Social Science. NY : Institute of Research engineers and Doctors, 2015. P. 34-38. doi

2014³

• Chapter Dmitriev A., Maltseva S. V., Markov N. Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals, in: Global Interdisciplinary Business-Economics Advancement Conference. Conference Proceeding. Sarasota : University of South Florida Sarasota-Manatee, 2014. P. 11-18.
• Chapter Dmitriev A., Maltseva S. V., Markov N. Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals, in: Global Interdisciplinary Business-Economics Advancement Conference. Conference Proceeding. Sarasota : University of South Florida Sarasota-Manatee, 2014. Ch. 1. P. 11-18.
• Chapter Maltseva S. V., Dmitriev A. Dynamic system crisis’s detecting using big data flow, in: Performance Management: Designing the High-Performing Organization. Conference Proceding. Aarhus : Aarhus University, 2014. P. 192-201.

2006³

• Article Dmitriev A., Tverdislov V. A., Isaev P. P. Effect of isomerization of amino acid residues on the structure of aquaporin // Journal of Structural Chemistry. 2006. Vol. 47. No. 3. P. 567-569.
• Article Dmitriev A., Tverdislov V. A. Energy distribution and ion selectivity of the bacterial potassium channel // Biofizika. 2006. Vol. 51. No. 4. P. 624-628.
• Article Dmitriev A., Tverdislov V. A. Separation of long-and short-range interactions in calculations of energy distribution of ions in membrane channels // Journal of Structural Chemistry. 2006. Vol. 47. No. 2. P. 241-246.

2005²

• Article Dmitriev A., Tverdislov V. A. About using the approximate fields to calculate the electrostatic potential distribution of membrane channels // Journal of Structural Chemistry. 2005. Vol. 46. No. 5. P. 624-628.
• Chapter Dmitriev A., Baryshnikov V., Markov I., Tverdislov V. Band and point statistical estimation of channelforming polypeptides potential, in: Progress in Chemomitrics Research. Band and Point Statistic Estimation of Channelforming polypeptides potential. NY : Nova Science Publishers, 2005. P. 30-45.

2004¹

2002²

• Article Dmitriev A., Isaev P. P., Isaeva G. A. Energy Levels and Wave Functions of an Ion in Gramicidin Channels // Biofizika. 2002. Vol. 47. No. 5. P. 864-868.
• Article Isaeva G. A., Dmitriev A., Isaev P. P. Interaction of Local Anesthetics with Model Ion Channels // Biofizika. 2002. Vol. 47. No. 3. P. 506-511.

2001²

• Article Isaeva G. A., Dmitriev A., Isaev P. P. Effect of the Basis on the Accuracy of Dipole Moment Estimation for Acetanilide // Journal of Structural Chemistry. 2001. Vol. 42. No. 6. P. 1222-1225.
• Article Isaeva G. A., Dmitriev A., Isaev P. P. QSAR Relationships for the Anesthetic Activity of Acetanilides Analyzed by Regression and Quantum-Chemical Methods // Pharmaceutical Chemistry Journal. 2001. Vol. 35. No. 6. P. 54-66.