8. Bulgaria Cross-Category Report: Relational Analysis of Subject-Related Search Interest

This report compares the relative popularity of Key Indicator-related searches conducted by users within the country over time to identify statistical connections, correlations, and causalities. Statistical connections, correlations, and causalities are measured & identified.

Report Includes:

1. Society Related Search Interest Cross-Correlation
2. Political Related Search Interest Cross-Correlation
3. General Intelligence Related Search Interest Cross-Correlation
4. Intl. Relations Related Search Interest Cross-Correlation
5. Health Related Search Interest Cross-Correlation
6. Environment Related Search Interest Cross-Correlation
7. Economic Related Search Interest Cross-Correlation
8. Military/Defense Related Search Interest Cross-Correlation

Understanding the relationship between user topic interest within the country is critical in monitoring a country’s stability. These connections represent both opportunities and potential threats to the country’s prosperity and national security. With this understanding, Statistical Correlation Analysis of search interests has emerged as an important strategic priority for policymakers, analysts, and other professionals assisting with national strategic initiatives.

The framework and supporting analysis contained within this report present a structured method for understanding the strategic-level relationships between the SIGINT Categories. The included comparative analyses are based on compiled search volume datasets which are processed through the TalosAI algorithm to provide a percentage Correlation/Causality score.

These scores can be compared to better understand the Category relationships and potential effects of one category on another.