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Geometric persistence and distributional trends in worldwide terrorism

Author

Listed:
  • James, Nick
  • Menzies, Max
  • Chok, James
  • Milner, Aaron
  • Milner, Cas

Abstract

This paper introduces new methods for studying the prevalence of terrorism around the world and over time. Our analysis treats spatial prevalence of terrorism, the changing profile of groups carrying out the acts of terrorism, and trends in how many attacks take place over time. First, we use a time-evolving cluster analysis to show that the geographic distribution of regions of high terrorist activity remains relatively consistent over time. Secondly, we use new metrics, inspired by geometry and probability, to track changes in the distributions of which groups are performing the terrorism. We identify times at which this distribution changes significantly and countries where the time-varying breakdown is most and least homogeneous. We observe startling geographic patterns, with the greatest heterogeneity from Africa. Finally, we use a new implementation of distances between distributions to group countries according to their incidence profiles over time. This analysis can aid in highlighting structural similarities in outbreaks of extreme behavior and the most and least significant public policies in minimizing a country’s terrorism.

Suggested Citation

  • James, Nick & Menzies, Max & Chok, James & Milner, Aaron & Milner, Cas, 2023. "Geometric persistence and distributional trends in worldwide terrorism," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:chsofr:v:169:y:2023:i:c:s0960077923001789
    DOI: 10.1016/j.chaos.2023.113277
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    References listed on IDEAS

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    Cited by:

    1. Nick James & Max Menzies, 2023. "An exploration of the mathematical structure and behavioural biases of 21st century financial crises," Papers 2307.15402, arXiv.org, revised Sep 2023.
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    3. Nick James & Max Menzies, 2023. "Collective dynamics, diversification and optimal portfolio construction for cryptocurrencies," Papers 2304.08902, arXiv.org, revised Jun 2023.

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