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Fractal modeling of historical demographie processes

Fraktale Modellierung historisch-demographischer Prozesse
[journal article]

Zhukov, Dmitry
Kanishchev, Valery
Lyamin, Sergey K.

Abstract

"The article presents several results of the computer modeling of demographic processes in the late traditional rural communities by means of fractal geometry. A team of contributors developed a model and software for it, then carried out its verification, data processing, computer modeling and Inte... view more

"The article presents several results of the computer modeling of demographic processes in the late traditional rural communities by means of fractal geometry. A team of contributors developed a model and software for it, then carried out its verification, data processing, computer modeling and Interpretation of results. The analysis of modeling outcomes allowed to build a holistic picture of the demographic behavior in rural communities of the Tambov province - one of the typical agrarian regions of 19th and 20th century Russia. Authors describe the degree and ways of how demographic behavior of the society was influenced by such factors as famine, war, epidemics, a level of health care infrastructure development, etc. Besides, it was possible to trace some non-linear effects in demographic strategies agrarian communities followed during modernization processes in Russia in the second half of the 19th and 20th centuries." (author's abstract)... view less

Keywords
Russia; model; model analysis; model construction; historical analysis; historical development; demographic factors; demographic transition; agricultural population; agricultural area; modernization; strategy

Classification
Population Studies, Sociology of Population
Social History, Historical Social Research

Method
descriptive study; empirical; quantitative empirical; theory application

Document language
English

Publication Year
2013

Journal
Historical Social Research, 38 (2013) 2

Issue topic
271-287

DOI
https://doi.org/10.12759/hsr.38.2013.2.

ISSN
0172-6404

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.