A classification and recognition algorithm of key figures in | ResearchBunny

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Abstract

This study proposes a classification and recognition algorithm for key figures in online public opinion, integrating multidimensional similarity and K-shell based on a four-dimensional public opinion communication supernetwork (social-psychology-opinion-convergent). The algorithm identifies key figures with differentiated roles (opinion leaders, focus figures, communication figures) and demonstrates advantages over traditional methods in feasibility, sensitivity, and effectiveness through a case study of the China Eastern Airlines passenger plane crash event.

Publisher

Humanities and Social Sciences Communications

Published On

Feb 13, 2024

Authors

Guanghui Wang, Yushan Wang, Kaidi Liu, Shu Sun

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