TY - JOUR
T1 - An electoral preferences model based on self-organizing maps
AU - Neme, Antonio
AU - Hernández, Sergio
AU - Neme, Omar
PY - 2011/12
Y1 - 2011/12
N2 - A model of spatial pattern formation of electoral preferences is presented. In some voting districts, patterns of electoral preferences emerge, such that in nearby areas citizens tend to vote for the same candidate whereas in geographically distant areas the most voted candidate is that whose political position is distant to the latter. Those patterns resemble the spatial structure achieved by a non-supervised neural network model, named self-organizing map. This model is able to achieve spatial order from disorder and at the same time, to form a topographic map of the external random field, identified with advertising from the media. In this model, individuals are represented in two spaces: a static geographical location, and a dynamic political position. The modification of the latter leads to a pattern in which both spaces are correlated. Numerically, we explore conditions not previously studied that may lead to these kind of spatial patterns.
AB - A model of spatial pattern formation of electoral preferences is presented. In some voting districts, patterns of electoral preferences emerge, such that in nearby areas citizens tend to vote for the same candidate whereas in geographically distant areas the most voted candidate is that whose political position is distant to the latter. Those patterns resemble the spatial structure achieved by a non-supervised neural network model, named self-organizing map. This model is able to achieve spatial order from disorder and at the same time, to form a topographic map of the external random field, identified with advertising from the media. In this model, individuals are represented in two spaces: a static geographical location, and a dynamic political position. The modification of the latter leads to a pattern in which both spaces are correlated. Numerically, we explore conditions not previously studied that may lead to these kind of spatial patterns.
KW - Agent-based modeling
KW - Electoral models
KW - Self-organization systems
KW - Social dynamics
UR - http://www.scopus.com/inward/record.url?scp=82455192318&partnerID=8YFLogxK
U2 - 10.1016/j.jocs.2011.08.003
DO - 10.1016/j.jocs.2011.08.003
M3 - Artículo
SN - 1877-7503
VL - 2
SP - 345
EP - 352
JO - Journal of Computational Science
JF - Journal of Computational Science
IS - 4
ER -