National power PCA and entropy measures: A 69-country study

National power stems from a combination of capabilities, not a single dominant resource. Analyzing data from 69 countries across nine dimensions, we map this structure without relying on an aggregate index. Principal component analysis shows that the main variation in the data does not follow a single axis: the first component is driven mainly by the political dimension, while the second reflects a broader contrast involving transboundary, economic, territorial, military, and spatial factors. Using entropy measures, we identify distinct national profiles, from more concentrated to more diversified power portfolios. Finally, a country–dimension bipartite network and its projections onto the dimension layer show how these capabilities co-occur across countries. • Nine dimensions of national capability form clear structural patterns. • PCA shows that variation is not organized along a single dimension. • Entropy distinguishes concentrated and more balanced profiles. • Bipartite projections show how dimensions co-occur across countries. • The approach studies national power without a single summary index.

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Publication Details

Journal
Chaos Solitons & Fractals
Published
2026-04-17
DOI
https://doi.org/10.1016/j.chaos.2026.118346
Primary Topic
International Relations and Foreign Policy
Type
article
Field-Weighted Citation Impact
0.00

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article

National power PCA and entropy measures: A 69-country study

Eric Hernández-Ramírez, Marcelo del Castillo‐Mussot, M R Hafeznia, Norma Raquel Guzman-Mendieta et al.
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article

National power PCA and entropy measures: A 69-country study

Eric Hernández-Ramírez, Marcelo del Castillo‐Mussot, M R Hafeznia, Norma Raquel Guzman-Mendieta, Reyhane Salehabadi, Majid Rasouli
article en

Abstract

National power stems from a combination of capabilities, not a single dominant resource. Analyzing data from 69 countries across nine dimensions, we map this structure without relying on an aggregate index. Principal component analysis shows that the main variation in the data does not follow a single axis: the first component is driven mainly by the political dimension, while the second reflects a broader contrast involving transboundary, economic, territorial, military, and spatial factors. Using entropy measures, we identify distinct national profiles, from more concentrated to more diversified power portfolios. Finally, a country–dimension bipartite network and its projections onto the dimension layer show how these capabilities co-occur across countries. • Nine dimensions of national capability form clear structural patterns. • PCA shows that variation is not organized along a single dimension. • Entropy distinguishes concentrated and more balanced profiles. • Bipartite projections show how dimensions co-occur across countries. • The approach studies national power without a single summary index.

Chaos Solitons & FractalsVol. 208
Tarbiat Modares University (IR), Universidad Autónoma de la Ciudad de México (MX), Universidad Nacional Autónoma de México (MX)
Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Partnerships for the goals
Openalex Percentile: Top 11%
International Relations and Foreign Policy
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