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dc.contributor.author	Соловйов, Володимир Миколайович
dc.contributor.author	Соловйова, Вікторія Володимирівна
dc.date.accessioned	2018-12-26T12:50:19Z
dc.date.available	2018-12-26T12:50:19Z
dc.date.issued	2018
dc.identifier.citation	Soloviev V. M. Universal tools of modeling different nature complex systems / Soloviev Volodymyr Mykolayovych, Solovyova Viktoriya Volodymyrivna // Інформаційні технології в освіті та науці : збірник наукових праць.- Випуск 10. - Мелітополь : ФОП Однорог Т.В., 2018. - С. 283-288.	uk
dc.identifier.isbn	978-617-7566-33-4
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/2865
dc.identifier.uri	https://doi.org/10.31812/123456789/2865
dc.description	1. Saptsin V., Soloviev V. «Relativistic quantum econophysics - new paradigms in complex systems modeling» / arXiv:0907.1142vl [physics.soc- Ph], 2009. 2. Prigogine I., Stengers I. Order out of chaos. Mans new dialogue with Nature / Heinemann. London. - 1984. - 432 p. 3. Vito Latora. Structural measures for multiplex networks / arxiv.org/pdf/1308.3182v3,2013. 4. Soloviev V. M. Network measures of complexity of socio-economic systems // Herald of Cherkasy University, ser. «Applied Mathematics. Computer Science». – 2015, № 38 (371). P. 67-79. 5. Marsh P. The new industrial revolution: consumers, globalization and the end of mass production. / Yale University Press. - 2012. - 420 p. 6. Derbentsev V. D. Synergetic and econophysical methods of studying the dynamic and structural characteristics of economic systems: [Monograph] / V. D. Derbentsev, O. A. Serdyuk, V. M. Soloviev, O. D. Sharapov. - Cherkasy: Brama-Ukraine, 2010. – 300 p. 7. Soloviev V. M. Modeling of complex systems / V. M. Soloviev, O. A. Serdyuk, G. B. Danilchuk // Educational and methodical manual for independent study of discipline. - Cherkasy: Publisher O. Yu.Vovchok 2016. - 204 p.
dc.description.abstract	It is shown that there is а powerful set of tools for the study of self-organization in complex systems, both natural and artificial origin. They characterize the multidimensional nature of complexity - multifractality, irreversibility, non-linearity, recurrence, nonstability, emeregence, etc., and quantitative evaluation of individual dynamical measures of complexity allows for monitoring, predicting and preventing unwanted critical or crisis. Particular attention is paid to measures of network complexity, which are fully applicable to build synergistic network of pedagogical systems.	uk
dc.language.iso	en	uk
dc.publisher	ФОП Однорог Т. В.	uk
dc.subject	complex systems	uk
dc.subject	complexity measures	uk
dc.subject	networks	uk
dc.subject	synergistic network pedagogy	uk
dc.subject	visibility graphs	uk
dc.subject	recurrent networks	uk
dc.subject	network dynamics modeling	uk
dc.subject	складні системи	uk
dc.subject	міри складності	uk
dc.subject	мережі	uk
dc.subject	синергетична мережна педагогіка	uk
dc.subject	графи видимості	uk
dc.subject	рекурентні динаміки	uk
dc.subject	моделювання мережної динаміки	uk
dc.title	Universal tools of modeling different nature complex systems	uk
dc.type	Article	uk