Due to the high dynamics present on several social phenomena, it is extremely difficult to carry out scientific investigations on social sciences. This is true especially for those phenomena most relevant for social sciences (e.g., human migration) which significantly increase the difficulty to perform an objective scientific investigation. To overcome such constraints, social scientists have been using modeling and simulation as a new approach to carry out experimental investigations on different social phenomena. In this work a multi-evolutionary agent model (MEAM) devised for social simulations was used in an experimental investigation about a plausible correlation involving migration, communication and social networks. Results suggest that the proposed model was able to outcome macroscopic behaviors adherent to actual social phenomena. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Barbosa Filho, H. S., Lima Neto, F. B., & Fusco, W. (2013). Migration, communication and social networks-An agent-based social simulation. In Studies in Computational Intelligence (Vol. 424, pp. 67–74). Springer Verlag. https://doi.org/10.1007/978-3-642-30287-9_8
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