Self organizing maps as models of social processes: The case of electoral preferences

Antonio Neme, Sergio Hernández, Omar Neme

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We propose the use of self-organizing maps as models of social processes, in particular, of electoral preferences. 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 are similar to the spatial structure achieved by self-organizing maps. This model is able to achieve spatial order from disorder by forming a topographic map of the external field, identified with advertising from the media. Here individuals are represented in two spaces: a static geographical location, and a dynamic political position. The modification of the later leads to a pattern in which both spaces are correlated.

Original languageEnglish
Title of host publicationAdvances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings
Pages51-60
Number of pages10
DOIs
StatePublished - 2011
Event8th Workshop on Self-Organizing Maps, WSOM 2011 - Espoo, Finland
Duration: 13 Jun 201115 Jun 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6731 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Workshop on Self-Organizing Maps, WSOM 2011
Country/TerritoryFinland
CityEspoo
Period13/06/1115/06/11

Keywords

  • Self-organizing maps
  • electoral preferences
  • social sciences and computational models

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