Table 2. Summary of measures for article text networks and sentiment group networks.

The table describes network characteristics of extracted web documents; joint semantic networks of positive, negative, and neutral vaccine sentiment; and the corresponding greatest connected component. Measures describe network size, density, and average centrality.

Vaccine sentiment	Positive	Negative	Neutral
Document text networks
Number of documents (Total=50)	23 documents	21 documents	6 documents
Average number of nodes (per document)	53.1 nodes	90.9 nodes	43.8 nodes
Average number of edges (per document)	49 edges	90.7 edges	39.7 edges
Average degree (per document)	1.9	1.98	1.8
Vaccine sentiment networks
Average degree	3.356	2.95	2.348
Number of connected components	21	49	12
Greatest component subgraph
Nodes / Total network nodes	585 / 652 nodes	1140 / 1257 nodes	171 / 201 nodes
Edges / Total network edges	1042 / 1094 edges	1783 / 1854 edges	216 / 236 edges
Average degree	3.562	3.128	2.526
Diameter	12	13	17
Density	0.0061	0.0027	0.0149
Number of communities	21	31	10
Average path length	4.492	4.77	6.78
Average degree centrality	0.0061	0.0027	0.0149
Average betweenness centrality	0.006	0.0033	0.0342
Average closeness centrality	0.2292	0.2161	0.1533
Average node connectivity	1.3117	1.1835	1.035
Average clustering coefficient	0.196	0.14	0.131