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Фронтир и фрактал: результаты компьютерного моделирования динамики Южно-Российского фронтира в середине XVII – XVIII вв

Фронтир и фрактал: результаты компьютерного моделирования динамики Южно-Российского фронтира в середине XVII – XVIII вв

Abstract

Статья посвящена результатам фрактального моделирования процесса вхождения фронтирных территорий юга Центральной России в состав Русского государства. Авторы приходят к выводу, что на первом изученном отрезке (середина XVII – XVIII в.) только две территории региона – будущие Тульская и Рязанская губернии – полностью вошли в состав метрополии, 5 будущих черноземных губерний находились в переходном состоянии между фронтиром и «отечеством», соседние с ними Область Войска Донского и Саратовская губерния полностью оставались в зоне фронтира или даже за его пределами.

The article is devoted to the results of fractal simulation process of entering of frontier territories of South Central Russia in Russian state. The authors conclude that in the first studied interval (middle 17 th – 18 th centuries) only two of the region – the future Tula and Ryazan Province – completely joined to the metropolis, 5 future Black Soil Provinces were in the transition state between the frontier and the “fatherland”, Area of Don Cossacks and Saratov Province remained completely in the frontier zone, or even beyond.

Keywords

ФРОНТИР, ЮГ ЦЕНТРАЛЬНОЙ РОССИИ, МЕТРОПОЛИЯ, ФРАКТАЛЬНОЕ МОДЕЛИРОВАНИЕ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze