Fig. 4 | Scientific Reports

Fig. 4

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

Fig. 4

Detected Communities in the Pain-Related Network Using the Louvain Method. Community structure of the pain-related lexical network, based on Louvain modularity detection. Each color denotes a distinct community. Community 0 (light blue): cluster around headache, including both literal symptom terms (e.g., sinus, minor) and metaphorical expressions (e.g., border, legacy). Community 1(Red): centered on discomfort, including relational and evaluative terms (e.g., who, would, deserved). Community 2 (yellow): largest cluster (225 nodes), centered on the term pain, representing general pain discourse. Community 3 (purple): cluster anchored by burning, combining somatic (e.g., legs, bloated) and symbolic terms (e.g., regret, church). Node size corresponds to degree centrality. Edge length inversely proportional to co-occurrence frequency.

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