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A Decision-Tree Analysis of the Relationship between Social Development and Homicide Rates

  • J. Octavio Gutierrez-GarciaEmail author
  • Andrés Gómez de Silva Garza
  • L. Leticia Ramírez-Ramírez
  • Rodrigo Patiño
  • Eduardo Candela
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1001)

Abstract

Using the minimum list of indicators for measuring the social development proposed by the United Nations, this work identifies cross-national indicators of homicide by analyzing socio-economic profiles of 202 countries. Both a correlation analysis and a decision-tree analysis indicate that countries with a relatively low homicide rate are characterized by a high life expectancy of women at birth and a very low adolescent fertility rate, while countries with a relatively high homicide rate are characterized by a low to medium life expectancy of women at birth, a high women-to-men ratio, and a high women’s share of adults with HIV/AIDS. The significance of this work stems from identifying cross-national indicators of homicide that can be used to assist policymakers in designing public policies aimed at reducing homicide rates by improving social indicators.

Keywords

Decision trees Decision support systems Homicide studies 

Notes

Acknowledgements

This work has been supported by the Asociación Mexicana de Cultura, A.C.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • J. Octavio Gutierrez-Garcia
    • 1
    Email author
  • Andrés Gómez de Silva Garza
    • 1
  • L. Leticia Ramírez-Ramírez
    • 2
  • Rodrigo Patiño
    • 1
  • Eduardo Candela
    • 1
  1. 1.Department of Computer ScienceITAMMexico CityMexico
  2. 2.Department of Probability and StatisticsCentro de Investigación en MatemáticasGuanajuatoMexico

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