Overlap quantification is a method used to measure the extent to which two or more sets share common elements, often applied in fields such as data analysis, pattern recognition, and computational biology. This technique helps in understanding the degree of similarity or redundancy between datasets, which can inform decisions in areas like resource allocation, feature selection, and network analysis.