This article introduces two new quantitative indices to measure specialization in species interaction networks: d' and H₂'. These indices are based on interaction frequencies and information theory. d' quantifies the degree of specialization at the species level, while H₂' characterizes specialization or partitioning among two parties in the entire network. Both indices are derived from Shannon entropy and are robust against variations in sampling intensity, network size, and symmetry. The study compares two published pollinator networks and finds that H₂' is not affected by network size or sampling intensity, making it suitable for comparisons across different interaction webs. The results show that plants and pollinators within a network differ in their average degree of specialization, and the correlation between pollinator specialization and abundance varies between the webs. The study also demonstrates that H₂' provides more accurate insights into specialization patterns than previous qualitative measures. The authors conclude that quantitative analyses based on interaction frequencies offer a more accurate and robust method for understanding specialization in biological interaction networks.This article introduces two new quantitative indices to measure specialization in species interaction networks: d' and H₂'. These indices are based on interaction frequencies and information theory. d' quantifies the degree of specialization at the species level, while H₂' characterizes specialization or partitioning among two parties in the entire network. Both indices are derived from Shannon entropy and are robust against variations in sampling intensity, network size, and symmetry. The study compares two published pollinator networks and finds that H₂' is not affected by network size or sampling intensity, making it suitable for comparisons across different interaction webs. The results show that plants and pollinators within a network differ in their average degree of specialization, and the correlation between pollinator specialization and abundance varies between the webs. The study also demonstrates that H₂' provides more accurate insights into specialization patterns than previous qualitative measures. The authors conclude that quantitative analyses based on interaction frequencies offer a more accurate and robust method for understanding specialization in biological interaction networks.