Fractal modeling of historical demographie processes

Journal article | Zeitschriftenartikel

"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)

Object Details

• Alternative title: Fraktale Modellierung historisch-demographischer Prozesse
• ISSN: 0172-6404
• Language: Englisch
• Notes: Status: Veröffentlichungsversion; begutachtet (peer reviewed)

References and Relationships

• Bibliographic citation: Historical Social Research, 38(2)

Classification and Topics

• Subject: Sozialwissenschaften, Soziologie ; Geschichte ; Bevölkerung ; Sozialgeschichte, historische Sozialforschung ; Russland ; Modell ; Modellanalyse ; Modellentwicklung ; historische Analyse ; historische Entwicklung ; demographische Faktoren ; demographischer Übergang ; Agrarbevölkerung ; Agrargebiet ; Modernisierung ; Strategie ; deskriptive Studie ; empirisch ; empirisch-quantitativ ; Theorieanwendung

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Zhukov, Dmitry ; Kanishchev, Valery ; Lyamin, Sergey K.
• Event: Veröffentlichung
• (where): Deutschland
• (when): 2013

Further information

• DOI: https://doi.org/10.12759/hsr.38.2013.2.
• URN: urn:nbn:de:0168-ssoar-384168
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:27 PM CEST