  Identifying technological convergence among emerging technologies in
cybersecurity is crucial for advancing science and fostering innovation. Unlike
previous studies focusing on the binary relationship between a paper and the
concept it attributes to technology, our approach utilizes attribution scores
to enhance the relationships between research papers, combining keywords,
citation rates, and collaboration status with specific technological concepts.
The proposed method integrates text mining and bibliometric analyses to
formulate and predict technological proximity indices for encryption
technologies using the "OpenAlex" catalog. Our case study findings highlight a
significant convergence between blockchain and public-key cryptography,
evidenced by the increasing proximity indices. These results offer valuable
strategic insights for those contemplating investments in these domains.
