Table 2.

The largest thirty communities in the social media corpus in descending order of size

ID	Core size	Community label	High degree nodes
0	172	China, Government, End World	Bioweapon
1	89	Chinese, lab, research	Truth, animal(s)
5	88	Virus, 5G, cell	Bill Gates, vaccine
6	72	Coronavirus, flu, test	SARS
35	66	Chloroquine, doctor, patient	Hospital
41	53	Medium, fact, video	Chinese
21	39	Question, trump, impeachment	Fauci
30	39	Death, Connecticut, pandemic	CDC
51	32	Bacterial, post, economy	YouTube, bot
32	27	Medical, misinforming, life	Quarantine, Italy
56	25	Virus, 5G, vaccine	(Radio) frequency
58	24	Med, CIA, commie	Evidence
74	24	Physician, source, official	CNN
57	23	Journal, conference, quantum tattoo	Bill Gates
40	22	Chinese, lab, bat	Wet market
75	22	American, cognitive dissonance, question	Lost cause
7	19	Diagnosis, Fauci, wireless	Coronavirus
18	19	Wuhan, advancement opportunity, medical company	Flu
59	18	Guy, repugnant organization, backstab	Asymptomatic
82	17	Virus, cell, vaccine	Thermodynamic load
11	16	Financial, community, coronavirus	Biolab
42	16	Nation, consequence, dedicated worker	Attack
62	16	News, cancer, american	(Un)reliable
73	16	Accepted narrative, scientist, hand	Cell level
8	15	Corona, chan, 5g dumba**	Friend
15	14	Coronavirus, test, accurate	Spain
24	14	China, government, weapon	CCP, bioweapon
45	14	Coronavirus, SARS, flu	Disease
52	14	Medium, fact, video	Agenda
80	14	Shill, epidemic, defining factor	Political, blame

The labels are derived from the sub-node labels for the semantically meaningful nodes with the highest NER scores in each community (racially derogatory terms and swears have been skipped). The label of the highest degree node(s) not included in the community label is listed in the third column. Nodes with a threat score $\ge 0.5$ are underlined