Table 1 Centrality metrics of pain compared to fear- and nervousness-related terms. Columns: metric type (degree, betweenness, eigenvector), pain score, maximum scores in fear and nervousness networks, combined mean ± standard deviation for emotion-related terms, and permutation test p-values (n = 10,000). All centrality values range from 0 to 1; higher values indicate greater structural prominence.

From: Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis

Centrality Metric

Pain score

Max score (fear group)

Max score (nervousness Group)

Mean ± SD (combined emotion terms)

Permutation Test p-value (n = 10,000)

Degree centrality

0.821429

0.0937

0.1297

0.0557 ± 0.0291

 < 0.0001

Betweenness centrality

0.930134

0.1892

0.2025

0.0921 ± 0.0374

 < 0.0001

Eigenvector centrality

0.695893

0.3426

0.3267

0.1793 ± 0.0648

 < 0.0001