Coronavirus, Twitter, 2/12/2023 10:19:57 AM, 289231


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Coronavirus_2023-02-12_02-05-36.xlsx
Coronavirus_2023-02-12_02-05-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 12, 2023
Short Description:
Coronavirus via NodeXL https://bit.ly/3HUr8LZ
@justin_hart
@kanekoathegreat
@dakota_150
@lisahighgate
@paulmaxit
@stopoldswamp
@bricolix
@sueannlevy
@charlesrixey
@blacktomthepyr8

Top hashtags:
#covid19
#coronavirus
#covid_19
#covid
#covidー19
#toquedequeda

Description:
Description
The graph represents a network of 6,066 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 10:10 UTC.

The tweets in the network were tweeted over the 1116-day, 4-hour, 1-minute period from Wednesday, 22 January 2020 at 20:59 UTC to Sunday, 12 February 2023 at 01:00 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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.


Author Description


Overall Graph Metrics
Vertices : 6066
Unique Edges : 2851
Edges With Duplicates : 10857
Total Edges : 13708
Number of Edge Types : 9
Tweet : 1173
Retweet : 3458
MentionsInRetweet : 4035
Replies to : 1274
MentionsInReplyTo : 3174
Mentions : 456
MentionsInQuoteReply : 26
Quote : 73
MentionsInQuote : 39
Self-Loops : 1726
Reciprocated Vertex Pair Ratio : 0.0298411679768972
Reciprocated Edge Ratio : 0.0579529521732357
Connected Components : 1193
Single-Vertex Connected Components : 493
Maximum Vertices in a Connected Component : 2234
Maximum Edges in a Connected Component : 5683
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.685402
Graph Density : 0.00017447538467351
Modularity : 0.487405
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,066 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 10:10 UTC.

The tweets in the network were tweeted over the 1116-day, 4-hour, 1-minute period from Wednesday, 22 January 2020 at 20:59 UTC to Sunday, 12 February 2023 at 01:00 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Coronavirus
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[59] https://twitter.com/efdiegi_/status/1624505510270468098/photo/1
[47] https://t.me/+HyVhOkx-FzQ5MmNk
[39] https://www.newsobserver.com/news/coronavirus/article272327133.html
[35] https://freebeacon.com/coronavirus/this-study-could-be-scientific-nail-in-the-coffin-for-masks/
[29] https://uncutnews.ch/bahnbrechend-dr-anthony-fauci-gibt-jetzt-zu-dass-die-mrna-covid-impfstoffe-kaum-funktionieren-und-moeglicherweise-nicht-zugelassen-werden-koennen/
[20] https://www.viveport.com/5e1030e7-a22d-4703-bc61-0b9392675357
[16] https://www.vanityfair.com/news/2020/03/dan-patrick-coronavirus-grandparents
[14] https://www.spiegel.de/wissenschaft/coronavirus-omikron-sublinie-xbb-1-5-auf-dem-vormarsch-a-9d748973-7879-47af-a7e7-4120064dbb7c
[14] https://www.amazon.co.uk/Alien-Poked-Me-Comedy-Coronavirus/dp/B089M423SC
[13] https://twitter.com/MichaelBurea/status/1624364612463230987/video/1

Top URLs in Tweet in G1:
[11] https://www.futura-sciences.com/sante/actualites/coronavirus-decouverte-proteine-bloque-coronavirus-poumons-103430/
[11] https://www.newsobserver.com/news/coronavirus/article272327133.html
[9] https://bioinformatics.stackexchange.com/questions/11227/why-does-the-sars-cov2-coronavirus-genome-end-in-aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
[7] https://freebeacon.com/coronavirus/this-study-could-be-scientific-nail-in-the-coffin-for-masks/
[6] https://news.ycombinator.com/item?id=34756884
[6] http://www.snoopbee.com/yup_free_online_tutoring.html
[5] https://www.newscientist.com/article/2358783-inhaled-powder-that-coats-airways-can-block-coronavirus-infection/
[4] https://twitter.com/VladKanash2318/status/1624469351955922950/photo/1
[4] https://www.worldometers.info/coronavirus/
[4] https://www.labroots.com/trending/coronavirus/24651/extracts-plants-inhibit-covid-19-infection

Top URLs in Tweet in G2:
[3] https://www.lakemedelsverket.se/48fe73/globalassets/dokument/behandling-och-forskrivning/coronavirus/misstankta-biverkningar/comirnaty-handlagda-rapporter-om-misstankta-biverkningar-2023-02-02.pdf
[3] https://twitter.com/mjtimber2/status/1624493746678284288/photo/1
[2] https://twitter.com/JusDayDa/status/1624534093768830977/photo/1
[1] https://twitter.com/i/web/status/1624340127609933826
[1] https://twitter.com/justin_hart/status/1624340127609933826/photo/1
[1] https://www.washingtonpost.com/health/2020/04/24/strokes-coronavirus-young-patients/
[1] https://www.reuters.com/article/factcheck-coronavirus-athletes-idUSL1N3451N2
[1] https://www.youtube.com/watch?v=aICvU2RA3k0&feature=youtu.be

[1] https://www.myhorrynews.com/coronavirus/horry-county-and-south-carolina-saw-a-spike-in-non-covid-death-in-2020/article_4cb9811e-c4a3-11eb-8fb7-a73ec28b723e.html
[1] https://coronavirus.data.gov.uk/details/deaths

Top URLs in Tweet in G3:
[1] https://twitter.com/KanekoaTheGreat/status/1623929856466780161/video/1
[1] https://twitter.com/KanekoaTheGreat/status/1623929856466780161
[1] https://twitter.com/ukrbravery/status/1616727859737026560/video/1

Top URLs in Tweet in G4:
[2] https://apnews.com/article/years-research-groundwork-covid-19-shots-f204192f07cfcc3503dc9c7687ae6269
[1] https://twitter.com/ForTexasHoujami/status/1623478632369864704/photo/1
[1] https://twitter.com/ForTexasHoujami/status/1624462100293713920/photo/1
[1] https://www.cnn.com/2020/05/01/us/coronavirus-moderna-vaccine-invs/index.html
[1] https://www.defense.gov/News/Releases/Release/Article/2309561/trump-administration-collaborates-with-moderna-to-produce-100-million-doses-of/
[1] https://www.cnbc.com/2020/08/11/trump-says-us-has-reached-deal-with-moderna-for-100-million-doses-of-coronavirus-vaccine.html
[1] https://www.foxnews.com/politics/aoc-rips-coronavirus-relief-bill-completely-insufficient-calls-for-cash-infusions-reimbursing-students
[1] https://www.newsweek.com/alexandria-ocasio-cortez-explains-why-she-voted-against-coronavirus-relief-package-1499998
[1] https://twitter.com/POTUS/status/1624423012966465544
[1] https://www.google.com/url?q=https://amp.usatoday.com/amp/4602942001

Top URLs in Tweet in G5:
[13] https://www.spiegel.de/wissenschaft/coronavirus-omikron-sublinie-xbb-1-5-auf-dem-vormarsch-a-9d748973-7879-47af-a7e7-4120064dbb7c
[5] https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(23)00011-7/fulltext
[5] https://www.thelancet.com/cms/10.1016/S1473-3099(23)00011-7/attachment/e23dd89a-d177-458d-9aa9-c4e556e566d6/mmc1.pdf
[2] https://twitter.com/RWittenbrink/status/1624408951935668224/photo/1
[1] https://www.cdc.gov/mmwr/volumes/72/wr/mm7206a1.htm
[1] https://www.cdc.gov/vaccines/schedules/downloads/child/0-18yrs-child-combined-schedule.pdf
[1] https://www.sydney.edu.au/news-opinion/news/2023/02/10/scientists-discover-receptor-that-blocks-covid-19-infection.html
[1] https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001967
[1] https://www.biorxiv.org/content/10.1101/2021.11.23.469714v1
[1] https://www.biorxiv.org/content/10.1101/2021.09.25.461776v1

Top URLs in Tweet in G6:
[2] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/heart-problems-after-covid19
[2] https://fortune.com/well/2023/02/08/new-coronavirus-covid-recombinant-possible-who-world-health-organization-admits-viral-evolution-covid-pandemic-omicron-zoonotic-transmission-animal-reservoir/
[1] https://www.newsobserver.com/news/coronavirus/article272327133.html
[1] https://www.newscientist.com/article/2358783-inhaled-powder-that-coats-airways-can-block-coronavirus-infection/
[1] https://medicalxpress.com/news/2022-05-blood-clots-lung-covid-survivors.html
[1] https://twitter.com/almayadeen_es/status/1624504593454432257/video/1
[1] https://www.spiegel.de/politik/deutschland/corona-karl-lauterbach-und-christian-drosten-im-spiegel-gespraech-es-war-eine-grauenvolle-zeit-a-23929931-2a4b-473f-8d5e-0e87889753ad?sara_ecid=soci_upd_KsBF0AFjflf0DZCxpPYDCQgO1dEMph
[1] https://www.fr.de/politik/corona-deutschland-merkel-infektionsschutzgesetz-bruecken-lockdown-coronavirus-regeln-notbremse-pandemie-news-90316371.html
[1] https://coronavirus.data.gov.uk/details/deaths
[1] https://www.statista.com/statistics/1111779/coronavirus-death-rate-europe-by-country/

Top URLs in Tweet in G7:
[8] https://freebeacon.com/coronavirus/this-study-could-be-scientific-nail-in-the-coffin-for-masks/
[1] https://twitter.com/i/web/status/1623826887607820289
[1] https://twitter.com/YALiberty/status/1623826887607820289/photo/1
[1] https://joepags.com/
[1] https://twitter.com/joetalkshow/status/1624092966443790356
[1] https://twitter.com/KanekoaTheGreat/status/1623929856466780161/video/1
[1] https://justthenews.com/politics-policy/coronavirus/hundreds-thousands-students-missing-public-schools-following-covid?utm_source=tw&utm_medium=social&utm_campaign=twjtn
[1] https://twitter.com/matjendav4/status/1624054841004683266/photo/1
[1] https://twitter.com/kanekoathegreat/status/1623929856466780161
[1] https://www.npr.org/sections/coronavirus-live-updates/2020/03/24/820981710/fact-check-u-s-testing-still-isnt-close-to-what-south-korea-has-done

Top URLs in Tweet in G8:
[1] https://www.lakemedelsverket.se/48fe73/globalassets/dokument/behandling-och-forskrivning/coronavirus/misstankta-biverkningar/comirnaty-handlagda-rapporter-om-misstankta-biverkningar-2023-02-02.pdf
[1] https://twitter.com/DaAcervo/status/1624481269307277313/photo/1

Top URLs in Tweet in G9:
[6] https://www.cambridge.org/core/journals/psychological-medicine/article/coronavirus-conspiracy-suspicions-general-vaccine-attitudes-trust-and-coronavirus-information-source-as-predictors-of-vaccine-hesitancy-among-uk-residents-during-the-COVID19-pandemic/FEC34AA0D1972E3A761C784A39D26536
[5] https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/coronavirus-in-babies-and-children/art-20484405
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html
[3] https://foreignpolicy.com/2020/01/31/coronavirus-china-trump-united-states-public-health-emergency-response/
[3] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/covid19-vaccine-what-parents-need-to-know
[2] https://www.cnn.com/2021/06/14/politics/ron-johnson-coronavirus-capitol-insurrection-fact-check/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/a-new-strain-of-coronavirus-what-you-should-know
[1] https://www.reuters.com/article/us-health-coronavirus-brain-idUSKBN2BT2ZI
[1] https://twitter.com/SenRonJohnson/status/1624528705027731456

Top URLs in Tweet in G10:
[1] https://www.worldometers.info/coronavirus/

Top Domains
Top Domains in Tweet in Entire Graph:
[1086] twitter.com
[242] blogspot.com
[66] youtube.com
[63] cdc.gov
[48] t.me
[46] co.uk
[41] newsobserver.com
[36] freebeacon.com
[29] uncutnews.ch
[27] reuters.com

Top Domains in Tweet in G1:
[186] twitter.com
[22] theperfectenemy.com
[13] futura-sciences.com
[12] newsobserver.com
[11] or.jp
[10] stackexchange.com
[9] google.com
[8] jhu.edu
[8] worldometers.info
[7] freebeacon.com

Top Domains in Tweet in G2:
[8] twitter.com
[3] lakemedelsverket.se
[2] youtube.com
[1] washingtonpost.com
[1] reuters.com
[1] myhorrynews.com
[1] gov.uk
[1] allsides.com
[1] asm.org
[1] theatlantic.com

Top Domains in Tweet in G3:
[3] twitter.com

Top Domains in Tweet in G4:
[3] twitter.com
[2] apnews.com
[1] cnn.com
[1] defense.gov
[1] cnbc.com
[1] foxnews.com
[1] newsweek.com
[1] google.com

Top Domains in Tweet in G5:
[13] spiegel.de
[10] thelancet.com
[8] twitter.com
[2] cdc.gov
[2] biorxiv.org
[1] edu.au
[1] plos.org
[1] theguardian.com

Top Domains in Tweet in G6:
[2] hopkinsmedicine.org
[2] fortune.com
[1] newsobserver.com
[1] newscientist.com
[1] medicalxpress.com
[1] twitter.com
[1] spiegel.de
[1] fr.de
[1] gov.uk
[1] statista.com

Top Domains in Tweet in G7:
[8] freebeacon.com
[7] twitter.com
[1] joepags.com
[1] justthenews.com
[1] npr.org
[1] house.gov

Top Domains in Tweet in G8:
[1] lakemedelsverket.se
[1] twitter.com

Top Domains in Tweet in G9:
[18] twitter.com
[7] cdc.gov
[6] cambridge.org
[5] mayoclinic.org
[4] hopkinsmedicine.org
[3] foreignpolicy.com
[2] cnn.com
[1] reuters.com
[1] prospect.org
[1] democracynow.org

Top Domains in Tweet in G10:
[1] worldometers.info

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[637] covid19
[499] coronavirus
[254] covid_19
[204] covid
[201] covidー19
[126] toquedequeda
[107] estadodealarma
[106] sanremo2023
[93] pfizer
[79] vaccine



Top Hashtags in Tweet in G1:
[180] coronavirus
[104] covid19
[27] covid_19
[24] covid
[24] sanremo2023
[15] vaccines
[14] coverage
[13] covidー19
[11] brasil
[9] vaccine

Top Hashtags in Tweet in G2:
[1] wef

Top Hashtags in Tweet in G4:
[1] inflationistemporary
[1] fascismisdeath

Top Hashtags in Tweet in G5:
[151] covid19
[8] coronavirus
[6] sarscov2
[5] longcovid
[2] impfenschuetzt
[2] covid_19
[1] protectthekids
[1] longcovidkids
[1] covid
[1] vaccinessavelives

Top Hashtags in Tweet in G6:
[4] covid
[3] coronavirus
[2] pandemic
[2] covid19
[1] pandemie
[1] covidtwitter
[1] sciencetwitter
[1] medtwitter
[1] recombination
[1] evolution

Top Hashtags in Tweet in G7:
[1] nordstreampipeline
[1] ukraine
[1] trumpliedpeopledied
[1] trumpisanationaldisgrace
[1] 𝐅𝐏𝐎𝐓𝐔𝐒
[1] 𝐓𝐑𝐔𝐌𝐏
[1] 𝐂𝐎𝐕𝐈𝐃

Top Hashtags in Tweet in G9:
[1] sotu
[1] queenofignorance

Top Words
Top Words in Tweet in Entire Graph:
[1856] coronavirus
[890] 19
[828] covid
[637] #covid19
[569] pfizer
[542] 355
[540] 56k
[500] #coronavirus
[425] risk
[384] million

Top Words in Tweet in G1:
[318] coronavirus
[180] #coronavirus
[144] covid
[117] 19
[104] #covid19
[62] 11
[49] 2023
[46] news
[45] 02
[37] cases

Top Words in Tweet in G2:
[344] 19
[337] justin_hart
[330] vax
[329] 56k
[328] administered
[328] pfizer
[328] shots
[328] adverse
[328] c19
[328] risk

Top Words in Tweet in G3:
[173] coronavirus
[169] paul
[169] down
[169] still
[169] breaks
[169] rand
[169] research
[169] funds
[169] group
[169] main

Top Words in Tweet in G4:
[303] president
[163] potus
[156] years
[153] national
[151] mr
[151] fortexashoujami
[150] saturday
[150] highest
[150] debt
[150] america

Top Words in Tweet in G5:
[164] rwittenbrink
[151] #covid19
[119] die
[59] pandemie
[58] infektionen
[54] 16
[53] altersgruppe
[53] 11
[53] jahre
[53] gesamten

Top Words in Tweet in G6:
[113] covid
[92] 16
[91] long
[91] condition
[91] dakota_150
[90] carolinians
[90] center
[90] guide
[90] working
[90] barrata

Top Words in Tweet in G7:
[80] known
[79] people
[79] years
[79] nothing
[78] double
[78] point
[78] iqs
[78] we've
[78] virtue
[78] signaling

Top Words in Tweet in G8:
[105] em
[104] 56k
[103] efeitos
[103] registraram
[103] adversos
[103] 800
[103] 355
[103] 352
[103] 19
[103] eles

Top Words in Tweet in G9:
[36] repmtg
[22] coronavirus
[16] trump's
[15] responsible
[15] chinese
[15] china
[14] market
[14] come
[14] poor
[14] wet

Top Words in Tweet in G10:
[95] 日本の政策を称賛されることはあっても酷評されたり蔑まれることはまずない
[95] のだ
[95] そういう意味では良くも悪くも我が道を貫いて国際的プレゼンスを主張する中国のほうがまだ日本よりもちゃんとしている
[95] といえる
[95] 少なくともg7内では
[94] 昔から日本は外
[94] georgebest1969

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[353] adverse,reactions
[346] sweden,administered
[346] c19,vax
[345] vax,resulting
[345] resulting,56k
[345] 355,risk
[345] million,shots
[345] 56k,adverse
[345] shots,pfizer
[345] pfizer,c19

Top Word Pairs in Tweet in G1:
[107] covid,19
[43] #coronavirus,#covid19
[26] 02,11
[22] news,perfect
[22] perfect,enemy
[20] #covid19,#coronavirus
[20] #covid19,#covid_19
[20] 2023,02
[18] 19,data
[18] enemy,#coronavirus

Top Word Pairs in Tweet in G2:
[328] 56k,adverse
[328] vax,resulting
[328] c19,vax
[328] shots,pfizer
[328] pfizer,c19
[328] administered,19
[328] sweden,administered
[328] 19,million
[328] reactions,355
[328] resulting,56k

Top Word Pairs in Tweet in G3:
[169] main,group
[169] chinese,coronavirus
[169] breaks,down
[169] still,funds
[169] funds,chinese
[169] government,still
[169] coronavirus,research
[169] down,government
[169] research,main
[169] rand,paul

Top Word Pairs in Tweet in G4:
[150] potus,mr
[150] president,misleading
[150] years,president
[150] mr,president
[150] america,saturday
[150] national,debt
[150] highest,national
[150] saturday,highest
[150] misleading,america
[150] debt,years

Top Word Pairs in Tweet in G5:
[53] gesamten,pandemie
[53] während,gesamten
[53] die,meisten
[53] infektionen,altersgruppe
[53] rwittenbrink,während
[53] 12,16
[53] jahre,gefolgt
[53] altersgruppe,11
[53] gefolgt,12
[53] #covid19,infektionen

Top Word Pairs in Tweet in G6:
[91] long,covid
[90] center,working
[90] carolinians,long
[90] 16,north
[90] covid,updated
[90] north,carolinians
[90] updated,guide
[90] condition,barrata
[90] barrata,center
[90] guide,condition

Top Word Pairs in Tweet in G7:
[78] double,digit
[78] we've,known
[78] signaling,people
[78] iqs,point
[78] point,we've
[78] people,double
[78] known,years
[78] nothing,virtue
[78] digit,iqs
[78] virtue,signaling

Top Word Pairs in Tweet in G8:
[103] 56k,efeitos
[103] em,355
[103] também,registraram
[103] os,são
[103] teve,56k
[103] 800,eles
[103] registraram,352
[103] 19,9m
[103] pfizer,teve
[103] suécia,19

Top Word Pairs in Tweet in G9:
[14] market,china
[14] wet,market
[14] lab,wet
[14] come,chinese
[14] chinese,lab
[14] coronavirus,come
[14] trump's,poor
[14] responsible,trump's
[14] china,responsible
[13] poor,respo

Top Word Pairs in Tweet in G10:
[95] 日本の政策を称賛されることはあっても酷評されたり蔑まれることはまずない,少なくともg7内では
[95] そういう意味では良くも悪くも我が道を貫いて国際的プレゼンスを主張する中国のほうがまだ日本よりもちゃんとしている,といえる
[95] のだ,日本の政策を称賛されることはあっても酷評されたり蔑まれることはまずない
[95] 少なくともg7内では,そういう意味では良くも悪くも我が道を貫いて国際的プレゼンスを主張する中国のほうがまだ日本よりもちゃんとしている
[94] georgebest1969,のだ
[94] といえる,昔から日本は外

Top Replied-To
Top Replied-To in Entire Graph:
@hmlondonpogo
@goddeketal
@repmtg
@senrickscott
@elonmusk
@jojofromjerz
@travelerslondon
@hollywood1114
@dilmaresiste
@michellespj

Top Replied-To in G2:
@michaelpsenger
@jusdayda
@fynnderella1
@markopolo_atx
@redheadlass1402
@burki677
@jikkyleaks
@jwilcox79
@mlevitt_np2013
@nickster0188

Top Replied-To in G3:
@ukrbravery

Top Replied-To in G4:
@onespicyomelet
@potus
@btcutter
@kevinha63905012
@patchie_61
@lisakay19682022
@1ofthecenation
@independentscs
@senatorhagerty

Top Replied-To in G6:
@karl_lauterbach
@rationalstoic
@dakota_150
@bmg_bund
@knusperkugel808

Top Replied-To in G7:
@randpaul
@sladesr
@socalcoolidge
@brentswenson2
@zebrahunt
@william68079995
@politicaldadof3
@cl4ws_out
@sheri82731026

Top Replied-To in G9:
@repmtg
@senronjohnson
@enirenberg
@goldencell
@craigchamberlin
@justkimberly
@monitorfake
@annwmac
@lymelegacy
@bwg369

Top Mentioned
Top Mentioned in Entire Graph:
@justin_hart
@kanekoathegreat
@rwittenbrink
@potus
@fortexashoujami
@traselvalle_obc
@jjaranaz94
@daacervo
@georgebest1969
@dakota_150

Top Mentioned in G1:
@asdrubal1963
@school_finds
@howtocruise
@davidspero14
@nexttimeimup
@branemark1
@nauscopio
@originator39
@jamesro13411319
@ryanmcmillan112

Top Mentioned in G2:
@justin_hart
@housatoniclive
@ethicalskeptic
@debunk_the_funk
@marco_piani
@snorman1776
@jusdayda
@fynnderella1
@burki677
@jikkyleaks

Top Mentioned in G3:
@kanekoathegreat
@logical_lop
@randpaul
@justin_hart

Top Mentioned in G4:
@potus
@fortexashoujami
@qaotoken
@madamxj9
@barnettforaz
@lpnational
@1ofthecenation
@justin_hart
@rob_airone
@all100senators

Top Mentioned in G5:
@rwittenbrink
@cccc1984cc
@ameracadpeds
@dakota_150

Top Mentioned in G6:
@dakota_150
@meetjess
@almayadeen_es
@c_drosten
@sasswashere
@karl_lauterbach
@who
@badass4mothers
@erinmprater
@cosmosmom1

Top Mentioned in G7:
@bamajayt
@randpaul
@yaliberty
@nanlee1124
@reason
@matjendav4
@llenas_miguel
@sladesr
@kanekoathegreat
@cl4ws_out

Top Mentioned in G8:
@daacervo

Top Mentioned in G9:
@repmtg
@terry_jepson
@robertkennedyjr
@legalfockery
@illegalcluster
@leelasik
@senronjohnson
@drcanuckmd
@whitehorse1255
@shawnfnlucas

Top Mentioned in G10:
@georgebest1969

Top Tweeters
Top Tweeters in Entire Graph:
@akiko_lawson
@711sej
@la_patilla
@tomthunkitsmind
@jurylady5
@stigmabaseo
@mortgage_shop
@lado_mx
@tem_fsedwxwac
@british_airways

Top Tweeters in G1:
@stigmabaseo
@mortgage_shop
@lado_mx
@personalfitnes3
@stigmabasee
@ejutv
@nicanws
@efectococuyo
@infobaeamerica
@dinakarannews

Top Tweeters in G2:
@lyndae222
@docwashburn
@josmirek
@angryyoungman55
@blueyes9445
@eryngreenfield
@monagabra
@sspraguejr
@norcalcrush
@moleskidorothy

Top Tweeters in G3:
@kathyfisher10
@maralynburstein
@nathanielbumpo
@whigsntwigs
@holly2360
@akazo
@queenmumqueend
@jkbgigi
@sylensa_adolf
@appleblossombe

Top Tweeters in G4:
@all100senators
@yepsuzn
@tjssmith
@gahome1
@l4dy70v3
@mitch_andresen
@mikedury
@marijanegreen
@orme_duncan
@liamrebel2

Top Tweeters in G5:
@korallenherz
@thomasknorra
@june26jasmine
@fluglehrer
@musichistorylaw
@coraxaroc
@ekliesspies
@_kinderrechte_
@gegengift2017
@dcwjustme

Top Tweeters in G6:
@inforenique
@soaprookie
@tinu
@anik1968
@fortunemagazine
@derspiegel
@normanormucha
@wilson6923
@atheistspinster
@ulyssevengmail1

Top Tweeters in G7:
@vebo1991
@toscaausten
@atx_patriot
@ssr57
@stephphilip8
@richard4m
@janfrye
@rrnicholas22
@bookersparticus
@kathymschotschi

Top Tweeters in G8:
@ezequiasns
@bordinvania
@cascianovidal
@g_garc2
@jairbianco66
@fannylt
@sandraiiconta
@11setembro
@dea_ln_
@elianereal3

Top Tweeters in G9:
@rhonda_harbison
@debbiesva
@ronilj261
@upschittscreek1
@shashatheitch22
@gnwayland
@msudsie
@thereal_truther
@jmh6225
@glenmary

Top Tweeters in G10:
@funky450
@boreford
@kumokumotori
@linusnoopy
@churakazumi
@exosphere_gaia
@neukarafrance
@tsukikonb
@nachtigall55
@hkmoviefan


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