The graph represents the network of YouTube videos whose title, keywords, description, categories, or author's username contain "Fauci". The network was obtained from YouTube on Thursday, 25 June 2020 at 11:20 UTC.

The network was limited to 100 videos.

There is an edge for each user who comented an a video. There is an edge for each user who replied to a comment.

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Vertices : 1842
Unique Edges : 2482
Edges With Duplicates : 1093
Total Edges : 3575
Number of Edge Types : 2
Comment : 928
Reply : 2647
Self-Loops : 317
Reciprocated Vertex Pair Ratio : 0.00560119492158327
Reciprocated Edge Ratio : 0.0111399925733383
Connected Components : 41
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 1566
Maximum Edges in a Connected Component : 3060
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.780219
Graph Density : 0.000794132443480358
Modularity : 0.701005
NodeXL Version : 1.0.1.436

Top URLs In Comment in Entire Graph:
[44] https://youtu.be/Yf6vHY8FAr4
[16] https://youtu.be/vxtzJHwHT0I
[11] https://twitter.com/SteveScalise/status/1274829394981388296%F0%9F%93%81
[11] https://twitter.com/SteveScalise/status/1274829394981388296
[11] https://medicine.yale.edu/news/medicineatyale/why-flu-is-deadly-among-the-elderly/%F0%9F%93%81
[11] https://medicine.yale.edu/news/medicineatyale/why-flu-is-deadly-among-the-elderly/
[11] https://criminal.findlaw.com/criminal-charges/third-degree-murder-overview.html%F0%9F%93%81
[11] https://criminal.findlaw.com/criminal-charges/third-degree-murder-overview.html
[4] https://youtu.be/dZKaqs3kmTE
[4] https://youtu.be/iAkr6AC9wIk

Top URLs In Comment in G1:
[44] https://youtu.be/Yf6vHY8FAr4
[4] http://tinyurl.com/vaccinazi-plandemic
[4] https://banned.video/watch?id=5ee13c3cc7a607002f0c8187
[4] https://youtu.be/puqaaeLnEww
[2] https://youtu.be/tm_LELus1qk
[2] https://www.commonwealthfund.org/publications/podcast/2017/oct/why-are-us-prescription-drug-prices-so-high
[2] http://www.youtube.com/results?search_query=%23obamagate
[2] https://www.gisaid.org/
[2] https://www.cdc.gov/tobacco/basic_information/e-cigarettes/severe-lung-disease.html
[2] https://www.politico.com/news/magazine/2020/06/04/public-health-protests-301534

Top URLs In Comment in G2:
[4] https://youtu.be/8IYkNW0F_wE?t=79
[4] https://www.youtube.com/watch?v=Wds-35S7BvY&t=123s

[4] https://youtu.be/Gda9o4FTXrE
[4] https://youtu.be/JtVf8FM_am0
[4] https://www.youtube.com/playlist?list=PLzj7pX0oqWCQ84WBDYgFzALHJiHxfw2gT

[4] https://www.youtube.com/user/corbettreport
[2] https://www.theatlantic.com/politics/archive/2017/02/gop-base-poverty-snap-social-security/516861/
[2] https://m.washingtontimes.com/news/2020/apr/27/anthony-fauci-should-explain-37-million-wuhan-labo/
[2] https://www.snopes.com/fact-check/obama-admin-wuhan-lab-grant/
[2] https://www.worldometers.info/coronavirus/country/us/

Top URLs In Comment in G3:
[4] https://youtu.be/OrFftV9Y3qY
[2] https://www.zerohedge.com/political/stanford-prof-median-infection-fatality-rate-covid-19-those-under-70-just-004
[2] https://youtu.be/xBPuoiQET6s

Top URLs In Comment in G4:
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[2] https://www.youtube.com/channel/UCz5o9F2MNG12w8OYqqvSg3Q
[2] https://nerdhaspower.weebly.com/blog/scientific-evidence-and-logic-behind-the-claim-that-the-wuhan-coronavirus-is-man-made#comments
[2] https://www.youtube.com/watch?v=Kh3twYon8pc

[2] https://www.washingtonpost.com/investigations/cdc-coronavirus-test-kits-were-likely-contaminated-federal-review-confirms/2020/06/20/1ceb4e16-b2ef-11ea-8f56-63f38c990077_story.html
[2] https://youtu.be/VlZUefIn4nY
[2] https://youtu.be/Cq8iQ65p9B0
[2] https://off-guardian.org/2020/06/15/do-masks-and-respirators-prevent-viral-respiratory-illnesses/
[2] https://technocracy.news/the-miserable-pseudo-science-behind-face-masks-social-distancing-and-contact-tracing/
[2] https://wwwnc.cdc.gov/eid/article/26/5/19-0994_article

Top URLs In Comment in G6:
[2] https://www.cgdev.org/sites/default/files/predicted-covid-19-fatality-rates-based-age-sex-comorbidities-and-health-system-capacity.pdf

Top URLs In Comment in G7:
[2] https://www.youtube.com/watch?v=nhyAQwJU8NE

[2] https://youtu.be/X3X-uZKPTfI
[2] https://regenerationinternational.org/2020/04/30/murder-most-foul-the-perps-behind-covid-19/
[2] https://warontherocks.com/2020/05/the-pandemic-and-americas-response-to-future-bioweapons/
[2] https://www.centerforhealthsecurity.org/event201/
[2] https://elect-one.blogspot.com/p/donald-raped-13-year-old.html
[1] https://www.youtube.com/watch?v=Ysia7Ngt8l0&t=0m37s

[1] http://warontherocks.com/2020/05/the-pandemic-and-americas-response-to-future-bioweapons/
[1] http://mgfih.name/

Top URLs In Comment in G9:
[2] https://youtu.be/_7OoUQ2KFt4

Top URLs In Comment in G10:
[2] https://www.nejm.org/doi/full/10.1056/NEJMe2002387
[2] https://youtu.be/0SVJ9UHK6wU
[2] https://youtu.be/S6Ngkd4dLEg
[2] https://youtu.be/aDa6nzJqsPc
[2] https://www.youtube.com/watch?v=DSvhPnUgyz8

[2] https://www.google.com/amp/s/metro.co.uk/2020/06/11/healthy-woman-double-lung-transplant-covid-19-left-lung-looking-like-rotten-burger-12839255/amp/

Top Domains In Comment in Entire Graph:
[122] youtu.be
[82] youtube.com
[22] twitter.com
[22] yale.edu
[22] findlaw.com
[8] cdc.gov
[6] google.com
[6] breitbart.com
[6] nypost.com
[4] co.uk

Top Domains In Comment in G1:
[58] youtu.be
[6] youtube.com
[4] tinyurl.com
[4] banned.video
[3] girlcute.buzz
[2] commonwealthfund.org
[2] gisaid.org
[2] cdc.gov
[2] politico.com
[2] thelancet.com

Top Domains In Comment in G2:
[24] youtube.com
[12] youtu.be
[2] theatlantic.com
[2] washingtontimes.com
[2] snopes.com
[2] worldometers.info
[2] google.com
[2] washingtonexaminer.com
[2] co.uk

Top Domains In Comment in G3:
[6] youtu.be
[2] zerohedge.com

Top Domains In Comment in G4:
[16] youtube.com
[6] cdc.gov
[4] youtu.be
[2] weebly.com
[2] washingtonpost.com
[2] off-guardian.org
[2] technocracy.news

Top Domains In Comment in G6:
[2] cgdev.org

Top Domains In Comment in G7:
[3] youtube.com
[3] warontherocks.com
[2] youtu.be
[2] regenerationinternational.org
[2] centerforhealthsecurity.org
[2] blogspot.com
[1] mgfih.name

Top Domains In Comment in G9:
[2] youtu.be

Top Domains In Comment in G10:
[6] youtu.be
[2] nejm.org
[2] youtube.com
[2] google.com

Top Words in Comment in Entire Graph:
[684] people
[443] fauci
[441] virus
[436] trump
[289] covid
[242] vaccine
[223] mask
[198] dr
[193] masks
[158] flu

Top Words in Comment in G1:
[136] people
[102] trump
[99] virus
[80] fauci
[50] dr
[44] yf6vhy8far4
[33] covid
[31] vaccine
[31] flu
[30] mask

Top Words in Comment in G2:
[69] people
[66] fauci
[38] mask
[38] virus
[37] trump
[33] masks
[32] covid
[20] wuhan
[18] wear
[18] rate

Top Words in Comment in G3:
[37] fauci
[26] people
[23] trump
[17] mask
[15] covid
[15] virus
[11] dr
[11] democrats
[11] lol
[10] change

Top Words in Comment in G4:
[38] virus
[32] people
[32] fauci
[31] mask
[30] covid
[30] masks
[23] trump
[19] dr
[16] 19
[14] wearing

Top Words in Comment in G5:
[40] trump
[31] people
[23] testing
[22] fauci
[13] virus
[10] covid
[10] maverick
[10] 42
[10] ha
[10] media

Top Words in Comment in G6:
[88] people
[50] covid
[36] virus
[21] die
[19] fauci
[19] masks
[17] deaths
[17] disease
[14] mask
[14] 19

Top Words in Comment in G7:
[38] people
[19] virus
[19] dr
[19] pandemic
[18] fauci
[17] trump
[14] mask
[13] masks
[13] bioweapons
[11] covid

Top Words in Comment in G8:
[21] vaccine
[16] people
[15] virus
[15] trump
[9] fauci
[7] jesus
[6] christ
[6] flu
[5] lord
[5] smart

Top Words in Comment in G9:
[22] vaccine
[17] people
[10] covid
[10] virus
[8] fauci
[7] government
[7] 19
[5] children
[5] safe
[5] fear

Top Words in Comment in G10:
[27] vaccine
[12] mellissa
[12] stevens
[11] gates
[11] vaccines
[11] anti
[10] people
[8] karen
[7] lol
[7] conspiracy

Top Word Pairs in Comment in Entire Graph:
[122] covid,19
[121] dr,fauci
[49] wear,mask
[48] wearing,mask
[44] nursing,homes
[44] degree,murder
[41] f0,9f
[41] 9f,93
[41] 93,81
[33] deadly,elderly

Top Word Pairs in Comment in G1:
[36] dr,fauci
[22] yf6vhy8far4,yf6vhy8far4
[17] covid,19
[11] wear,mask
[11] luck,yf6vhy8far4
[9] fake,news
[8] surprisable,deplorable
[8] tinyurl,vaccinazi
[8] vaccinazi,plandemic
[7] trump,administration

Top Word Pairs in Comment in G2:
[11] covid,19
[11] dr,fauci
[9] wear,mask
[9] death,rate
[6] people,die
[6] kristi,gunn
[5] joy,wilner
[5] wuhan,lab
[5] nick,king
[5] wearing,mask

Top Word Pairs in Comment in G3:
[8] change,dna
[8] dna,coming
[8] coming,vacs
[7] bates,fauci
[7] fauci,change
[7] tube,r8xlr7pjgi
[6] vacs,tube
[6] dr,fauci
[5] covid,19
[5] fake,news

Top Word Pairs in Comment in G4:
[14] covid,19
[13] dr,fauci
[8] wearing,mask
[6] cdc,coronavirus
[5] wear,mask
[4] coronavirus,2019
[4] 2019,ncov
[4] ncov,covid
[4] covid,data
[4] data,covidview

Top Word Pairs in Comment in G5:
[10] maverick,42
[8] ha,ha
[6] covid,19
[5] dr,fauci
[4] common,sense
[4] ho,hum
[3] xhs,hdd
[3] testing,people
[3] pixel,girl
[3] social,distance

Top Word Pairs in Comment in G6:
[14] covid,19
[8] heart,disease
[7] people,die
[6] denzel,harvey
[5] 480,000
[5] 000,people
[5] stage,cancer
[4] health,care
[4] care,workers
[4] survival,rate

Top Word Pairs in Comment in G7:
[8] covid,19
[7] dr,fauci
[6] american,people
[5] dr,anthony
[5] anthony,fauci
[5] response,future
[5] future,bioweapons
[4] wearing,mask
[4] black,communities
[4] short,supply

Top Word Pairs in Comment in G8:
[5] jesus,christ
[3] lord,saviour
[2] vaccine,ready
[2] christ,lord
[2] rizzo,rizzo
[2] thousands,people
[2] posted,facebook
[2] families,thousands
[2] virus,vaccine
[2] frightening,people

Top Word Pairs in Comment in G9:
[7] covid,19
[4] andrea,grossi
[3] karla,duenas
[3] stock,market
[3] dr,fauci
[2] gop,greed
[2] greed,people
[2] atif,apache
[2] apache,zeynalli
[2] bad,bad

Top Word Pairs in Comment in G10:
[12] mellissa,stevens
[4] conspiracy,theory
[4] democratic,brotherhood
[4] brotherhood,nicholas
[4] shaun,coptcoat
[4] anti,vaxer
[3] paris,shields
[3] stevens,shut
[3] john,horn
[3] disinformation,agent