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Real-Time Military Security Index Calculation Model Using Big Data Analytics: The Case of South Korea

Author

Listed:
  • Hee-Jae Jeon

    (Department of Defense Science, Korea National Defense University, Nonsan 33021, Republic of Korea)

  • Moon-Gul Lee

    (Department of Defense Science, Korea National Defense University, Nonsan 33021, Republic of Korea)

Abstract

The recent advent of the New Cold War and rapid changes in global situation are increasing the need for quick and accurate geopolitical risk measurement through quantitative analysis. This study intends to present a new military-security index, a method of measuring military-geopolitical risk using big data analysis. In this regard, South Korea, one of the countries with the highest level of geopolitical risk in the world, was analyzed and quantified by analyzing direct provocations and threats from neighboring countries. The data used include the results of quantifying provocation cases in neighboring countries according to time, frequency, and intensity, the results of analyzing news keywords related to military-security issues in neighboring countries, and real-time terrorism and cybersecurity-risk measurements. Based on this, a model that enables relatively accurate and timely analysis and prediction by indexing and time-series geopolitical risks is presented.

Suggested Citation

  • Hee-Jae Jeon & Moon-Gul Lee, 2022. "Real-Time Military Security Index Calculation Model Using Big Data Analytics: The Case of South Korea," Social Sciences, MDPI, vol. 11(12), pages 1-19, December.
    • Handle: RePEc:gam:jscscx:v:11:y:2022:i:12:p:572-:d:994581
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    References listed on IDEAS

    as
    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
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