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Influence of the gregarious instinct and individuals' behavior patterns on macro migrations

Simulation experiments

Bibliographic Data

ID2168869
AuthorsStanislaw Raczynski (0000-0003-1501-4205, Universidad Panamericana)
Year2018
Volume28
Issue2
Pages204-220
Publication date2018-02-17
Open AccessNo
TypeARTICLE
VenueJournal of Human Behavior in the Social Environment (JOURNAL)
Journal identifiersISSN: 1091-1359 • E-ISSN: 1540-3556
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10911359.2017.1388758
OpenAlexW2768775399
LanguageEN
Citations received2
References cited11

The objective of the model is to simulate the migrations of social groups over certain geographical regions, influenced by the gregarious effect and individual behavior patterns. The people move in search of better work opportunities and welfare. The model components are regions and individuals belonging to certain social groups. A region is characterized by more than 30 parameters, such as geographical data, actual population statistics, education facilities, and work opportunities. For the social groups, the parameters include the demographic and educational statistics. The simulated individuals attempt to optimize their welfare by moving over the model map. Spontaneous migration, without apparent goal, is also considered. The region parameters change owing to the number and the parameters of incoming individuals, which provides a dynamic and nonlinear feedback. The qualitative results reveal that the model never reaches a steady state and that the social groups remain in periodical movement. The simulations are agent-based. No differential equations (like in the System Dynamics approach) or any extant theory or mathematical model is used

Econometrics · Economics · Extant taxon · Instinct · Macro · Population · Sociology · Statistics · Welfare · Computer Science · Evolutionary Game Theory and Cooperation · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Psychology · Demography · Ecology · Social Psychology

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Citations per year0.4
Citation span2021 - 2023 (3)
Highly citedNo

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