logo
ResearchBunny Logo
A classification and recognition algorithm of key figures in public opinion integrating multidimensional similarity and K-shell based on supernetwork

Interdisciplinary Studies

A classification and recognition algorithm of key figures in public opinion integrating multidimensional similarity and K-shell based on supernetwork

G. Wang, Y. Wang, et al.

Discover an innovative classification algorithm for identifying key figures in online public opinion, developed by Guanghui Wang, Yushan Wang, Kaidi Liu, and Shu Sun. This research showcases how integrating multidimensional similarities and K-shell analysis within a four-dimensional communication framework outperforms traditional methods, providing valuable insights through a case study of the China Eastern Airlines incident.

00:00
00:00
Playback language: English
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
Tags
online public opinion
classification algorithm
key figures
K-shell
opinion leaders
communication supernetwork

Related Publications

Explore these studies to deepen your understanding of the subject.

Validation of preferred salt concentration in soup based on a randomized blinded experiment in multiple regions in Japan—influence of umami (L-glutamate) on saltiness and palatability of low-salt solutions
Food Science and Technology

Validation of preferred salt concentration in soup based on a randomized blinded experiment in multiple regions in Japan—influence of umami (L-glutamate) on saltiness and palatability of low-salt solutions

H. Hayabuchi, R. Morita, et al.

A new scheme for low-carbon recycling of urban and rural organic waste based on carbon footprint assessment: A case study in China
Environmental Studies and Forestry

A new scheme for low-carbon recycling of urban and rural organic waste based on carbon footprint assessment: A case study in China

K. Zhou, Y. Li, et al.

The effects of mindfulness-based interventions on anxiety, depression, stress, and mindfulness in menopausal women: A systematic review and meta-analysis
Psychology

The effects of mindfulness-based interventions on anxiety, depression, stress, and mindfulness in menopausal women: A systematic review and meta-analysis

Hl, Hz, et al.

Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining
Business

Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining

J. Fan, L. Peng, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny