Coronavirus, Twitter, 1/12/2023 11:22:16 AM, 287820


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Coronavirus_2023-01-12_03-09-22.xlsx
Coronavirus_2023-01-12_03-09-22.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 12, 2023
Short Description:
Coronavirus via NodeXL https://bit.ly/3Xr0tfE
@triangle24
@mikegalsworthy
@meetjess
@ejustin46
@jimfitznews
@lisa_iannattone
@mit_scientifica
@grguenter
@kharaguchi
@washingtonpost

Top hashtags:
#coronavirus
#covid19
#prevención
#covid_19
#covid
#covidー19
#pfizer

Description:
Description
The graph represents a network of 5,704 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 11:14 UTC.

The tweets in the network were tweeted over the 1071-day, 15-hour, 3-minute period from Wednesday, 05 February 2020 at 09:56 UTC to Thursday, 12 January 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 : 5704
Unique Edges : 2097
Edges With Duplicates : 9954
Total Edges : 12051
Number of Edge Types : 9
Tweet : 1076
Replies to : 814
MentionsInReplyTo : 1597
Retweet : 3835
MentionsInRetweet : 4205
Mentions : 338
Quote : 72
MentionsInQuoteReply : 92
MentionsInQuote : 22
Self-Loops : 1378
Reciprocated Vertex Pair Ratio : 0.0190493468795356
Reciprocated Edge Ratio : 0.0373865052519138
Connected Components : 951
Single-Vertex Connected Components : 376
Maximum Vertices in a Connected Component : 1021
Maximum Edges in a Connected Component : 2191
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.046166
Graph Density : 0.000172671847375425
Modularity : 0.485586
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,704 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 11:14 UTC.

The tweets in the network were tweeted over the 1071-day, 15-hour, 3-minute period from Wednesday, 05 February 2020 at 09:56 UTC to Thursday, 12 January 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:
[273] https://www.opendemocracy.net/en/dark-money-investigations/conservatives-private-schools-157m-government-subsidised-loans/
[59] https://www.medrxiv.org/content/10.1101/2022.12.17.22283625v1
[58] https://ourworldindata.org/explorers/coronavirus-data-explorer
[46] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY?taid=63bf2de55e38900001f41c97&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[33] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY
[33] https://projects.propublica.org/coronavirus/ba
[31] https://www.businessinsider.com/diamond-and-silk-suggest-fox-news-racist-coronavirus-conspiracy-theories-2020-8
[27] https://www.cnbc.com/video/2020/05/01/how-airlines-park-thousands-of-grounded-planes-amid-coronavirus.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[22] https://jp.reuters.com/article/health-coronavirus-who-variant-idJPKBN2TQ1LL?taid=63bf2a635e38900001f41b3c&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter

Top URLs in Tweet in G1:
[2] https://www.opendemocracy.net/en/dark-money-investigations/conservatives-private-schools-157m-government-subsidised-loans/

Top URLs in Tweet in G2:
[2] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[2] https://www.bhf.org.uk/informationsupport/heart-matters-magazine/news/coronavirus-and-your-health/is-coronavirus-a-disease-of-the-blood-vessels
[1] https://jp.reuters.com/article/health-coronavirus-who-idJPKBN2TP157
[1] https://newsdigest.jp/pages/coronavirus/
[1] https://twitter.com/triangle24/status/1613109642330279936/photo/1
[1] https://www3.nhk.or.jp/news/special/coronavirus/seventhwave/detail/detail_102.html
[1] https://www.reuters.com/article/factcheck-europe-moderna-idUSL1N2RE22K
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html#:~:text=Preventing%20Long%20COVID
[1] https://twitter.com/luckytran/status/1612301590337044482/photo/1

Top URLs in Tweet in G3:
[12] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY
[7] https://jp.reuters.com/article/health-coronavirus-who-variant-idJPKBN2TQ1LL
[7] https://grupodobemestaredafelicidade.blogspot.com/2023/01/covid19-coronavirus-saudepublica-saude.html
[6] https://www3.nhk.or.jp/news/special/coronavirus/eighthwave/detail/detail_39.html
[5] https://jp.reuters.com/article/health-coronavirus-who-idJPKBN2TQ1D1
[4] https://www.opendemocracy.net/en/dark-money-investigations/conservatives-private-schools-157m-government-subsidised-loans/?utm_source=tw
[4] https://twitter.com/gorgepulse/status/1613329006644072448/photo/1
[3] https://www.lgbtqnation.com/2023/01/george-santos-mocked-sexual-assault-victims-harvey-weinstein-gave-coronavirus/
[3] https://www.kxan.com/news/coronavirus/muscle-aches-pains-now-among-top-covid-symptoms/
[3] https://twitter.com/saludjalisco/status/1613334730862202880/photo/1

Top URLs in Tweet in G4:
[267] https://www.opendemocracy.net/en/dark-money-investigations/conservatives-private-schools-157m-government-subsidised-loans/
[1] https://www.bbc.com/future/article/20230110-the-covert-winter-wave-of-covid-19
[1] https://www.9news.com.au/world/china-coronavirus-update-more-than-88-million-people-infected-in-henan-province/7a9f3607-896a-457f-a395-b36aa3dca697

Top URLs in Tweet in G5:
[59] https://www.medrxiv.org/content/10.1101/2022.12.17.22283625v1
[8] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[4] https://twitter.com/Project_Veritas/status/1612996940941373442/photo/1
[4] https://twitter.com/pahealthsec/status/1613305849975283712/photo/1
[3] https://coronavirus.health.ny.gov/covid-19-breakthrough-data
[3] https://jme.bmj.com/content/early/2022/12/05/jme-2022-108449
[2] https://www.jpost.com/health-and-wellness/coronavirus/can-you-grow-covid-19-vaccine-lettuce-uc-riverside-scientists-think-so-679655
[2] https://www.newsmax.com/newsmax-tv/ben-carson-covid-coronavirus/2023/01/08/id/1103505/
[2] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/heart-problems-after-covid19
[2] https://www.insideprecisionmedicine.com/topics/patient-care/coronavirus/rare-covid-19-vaccine-complication-linked-to-circulating-spike-protein-in-blood/

Top URLs in Tweet in G6:
[2] https://www.washingtonpost.com/politics/2023/01/10/coronavirus-employees-health-missed-work/
[1] https://www.axios.com/2020/08/15/coronavirus-myocarditis-sudden-heart-attack-death-athletes-college
[1] https://twitter.com/EnemyInAState/status/1613204957913563138/photo/1
[1] https://twitter.com/TofumitS/status/1613206037892317188/photo/1
[1] https://www.scmp.com/news/hong-kong/hong-kong-economy/article/3206378/coronavirus-hong-kong-will-return-normality-fast-yet-orderly-pace-city-leader-john-lee-says-regional
[1] https://twitter.com/ejustin46/status/1613252023901908992/photo/1
[1] https://www.oregonlive.com/coronavirus/2023/01/xbb15-covid-subvariant-expected-to-spread-fast-but-cases-hospitalizations-falling-in-oregon-for-now.html
[1] https://www.masslive.com/coronavirus/2023/01/as-covid-spreads-boston-public-schools-parent-group-calls-for-mask-mandate.html
[1] https://twitter.com/MeetJess/status/1613245768244027408
[1] https://www.ncbi.nlm.nih.gov/research/coronavirus/docsum?text=e_condition:LongCovid

Top URLs in Tweet in G7:
[1] https://twitter.com/Aligarc24776728/status/1613302145410912257/photo/1

Top URLs in Tweet in G8:
[2] https://www.judicialwatch.org/fauci-wuhan-826k/
[1] https://www.judicialwatch.org/
[1] https://twitter.com/JudicialWatch/status/1300433164611928065/video/1

Top URLs in Tweet in G9:
[2] https://apple.news/AjTUrNSehTUy4NbJ3Bd7SZw
[1] https://www.lgbtqnation.com/2023/01/george-santos-mocked-sexual-assault-victims-harvey-weinstein-gave-coronavirus/
[1] https://twitter.com/patriottakes/status/1612278169557508097/video/1
[1] https://twitter.com/patriottakes/status/1612980412568969225/video/1
[1] https://www.factcheck.org/2020/06/trump-falsely-says-covid-19-surge-only-due-to-testing-misleads-on-deaths/
[1] https://thehill.com/policy/healthcare/502819-trump-on-coronavirus-if-we-stop-testing-right-now-wed-have-very-few-cases/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-023-00014-3

Top URLs in Tweet in G10:
[44] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY?taid=63bf2de55e38900001f41c97&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[22] https://jp.reuters.com/article/health-coronavirus-who-variant-idJPKBN2TQ1LL?taid=63bf2a635e38900001f41b3c&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[20] https://jp.reuters.com/article/health-coronavirus-who-variant-idJPKBN2TQ1LL?taid=63bf4d8bd7e86d0001184d8d&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[11] https://jp.reuters.com/article/health-coronavirus-who-variant-idJPKBN2TQ1LL?taid=63bf0d7a3c358a00016e8803&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[9] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY?taid=63bf0e433c358a00016e8819&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[8] https://jp.reuters.com/article/health-coronavirus-usa-emergency-idJPKBN2TQ1EY?taid=63beec465e38900001f409a0&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[5] https://jp.reuters.com/article/health-coronavirus-china-travel-idJPKBN2TR01F?taid=63bf5ae2d7e86d000118511b&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[4] https://jp.reuters.com/article/health-coronavirus-who-idJPKBN2TQ1D1?taid=63bee6763c358a00016e7c97&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[2] https://jp.reuters.com/article/health-coronavirus-safrica-idJPKBN2TQ04P?taid=63be1f30d7e86d000169a215&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[2] https://jp.reuters.com/article/health-coronavirus-china-merck-idJPKBN2TQ02Z?taid=63be10005e38900001f3cc31&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter

Top Domains
Top Domains in Tweet in Entire Graph:
[823] twitter.com
[292] opendemocracy.net
[217] reuters.com
[105] blogspot.com
[77] cdc.gov
[68] ourworldindata.org
[59] medrxiv.org
[50] or.jp
[36] washingtonpost.com
[36] propublica.org

Top Domains in Tweet in G1:
[2] opendemocracy.net

Top Domains in Tweet in G2:
[3] or.jp
[2] reuters.com
[2] twitter.com
[2] org.uk
[1] newsdigest.jp
[1] cdc.gov

Top Domains in Tweet in G3:
[131] twitter.com
[35] reuters.com
[16] or.jp
[14] cdc.gov
[12] blogspot.com
[9] google.com
[8] theperfectenemy.com
[7] opendemocracy.net
[7] sortiraparis.com
[7] com.br

Top Domains in Tweet in G4:
[267] opendemocracy.net
[1] bbc.com
[1] com.au

Top Domains in Tweet in G5:
[59] medrxiv.org
[53] twitter.com
[9] cdc.gov
[5] trib.al
[4] newsmax.com
[4] bmj.com
[3] ny.gov
[3] jpost.com
[2] cbsnews.com
[2] mayoclinic.org

Top Domains in Tweet in G6:
[5] twitter.com
[2] washingtonpost.com
[1] axios.com
[1] scmp.com
[1] oregonlive.com
[1] masslive.com
[1] nih.gov

Top Domains in Tweet in G7:
[1] twitter.com

Top Domains in Tweet in G8:
[3] judicialwatch.org
[1] twitter.com

Top Domains in Tweet in G9:
[2] twitter.com
[2] apple.news
[1] lgbtqnation.com
[1] factcheck.org
[1] thehill.com
[1] nature.com

Top Domains in Tweet in G10:
[128] reuters.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[327] coronavirus
[290] covid19
[111] prevención
[109] covid_19
[95] covid
[69] covidー19
[49] pfizer
[41] estadodealarma
[40] toquedequeda
[39] vaccine



Top Hashtags in Tweet in G2:
[2] longcovid

Top Hashtags in Tweet in G3:
[98] coronavirus
[61] covid19
[22] covid_19
[17] covid
[11] corona
[8] usa
[8] sarscov2
[8] staysafe
[8] telegram
[6] coverage

Top Hashtags in Tweet in G4:
[1] covid19
[1] china

Top Hashtags in Tweet in G5:
[4] covid19
[2] longcovid
[2] covidvaccines
[1] exposefauci
[1] twitterfiles
[1] faucifiles
[1] mrna
[1] lettuce_vaccinations
[1] vegetables
[1] gmo

Top Hashtags in Tweet in G6:
[2] longcovid

Top Hashtags in Tweet in G7:
[1] patriapróspera

Top Hashtags in Tweet in G8:
[26] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[2508] coronavirus
[1862] schools
[986] covid
[977] loans
[957] state
[934] nothing
[934] private
[930] went
[925] 157m
[842] more

Top Words in Tweet in G1:
[1246] schools
[623] 157m
[623] nothing
[623] state
[623] coronavirus
[623] private
[623] went
[623] loans
[622] more
[622] horrific

Top Words in Tweet in G2:
[498] triangle24
[495] 34現在
[495] 520人に達しています
[495] 18
[495] 特に救急の悲鳴は
[495] 今日の死者数が初めて500人を超えて
[495] 第7波でもここまでのはなかった気が
[495] 医療からは悲痛な叫びを多く見ますが
[495] 救急をはじめ
[495] 報道があまり伝えない状況が続いています

Top Words in Tweet in G3:
[196] coronavirus
[115] covid
[98] #coronavirus
[86] 19
[61] #covid19
[56] cases
[50] total
[33] deaths
[30] vaccine
[27] 2023

Top Words in Tweet in G4:
[556] schools
[281] coronavirus
[278] loans
[278] 157m
[278] went
[278] private
[278] nothing
[278] state
[267] opendemocracy
[266] jimfitznews

Top Words in Tweet in G5:
[208] covid
[179] 19
[126] study
[121] risk
[118] clinic
[118] cleveland
[97] coronavirus
[89] vaccine
[83] vaccines
[67] booster

Top Words in Tweet in G6:
[143] coronavirus
[139] infections
[139] meetjess
[138] concerned
[138] cardiologists
[138] lead
[138] complications
[138] increasingly
[138] sudden
[138] cause

Top Words in Tweet in G7:
[117] nuevo
[116] covid
[116] 19
[116] oms
[116] noticia
[116] conocido
[116] cov
[116] enfermedad
[116] tuvo
[116] coronavirus

Top Words in Tweet in G8:
[151] death
[75] remember
[75] detectable
[75] covid
[75] amount
[75] small
[75] coding
[75] hospitals
[74] tex2_a
[74] coronav

Top Words in Tweet in G9:
[59] vaccines
[59] decades
[59] little
[59] mrna
[59] vaxxers
[59] anti
[59] scientists
[59] hundreds
[59] fact
[59] inconvenient

Top Words in Tweet in G10:
[117] reutersjapan
[63] 米
[63] コロナの
[62] 宣言を延長
[62] 公衆衛生上の緊急事態
[57] who
[53] オミクロン派生
[53] 感染拡大を主導か
[53] xbb
[53] 5

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[927] private,schools
[925] went,private
[925] 157m,went
[925] loans,157m
[924] schools,state
[924] schools,nothing
[924] state,schools
[924] coronavirus,loans
[633] horrific,more
[633] nothing,horrific

Top Word Pairs in Tweet in G1:
[623] schools,state
[623] went,private
[623] loans,157m
[623] 157m,went
[623] private,schools
[623] state,schools
[623] schools,nothing
[623] coronavirus,loans
[622] horrific,more
[622] more,evidence

Top Word Pairs in Tweet in G2:
[495] 34現在,救急をはじめ
[495] 今日の死者数が初めて500人を超えて,520人に達しています
[495] 報道があまり伝えない状況が続いています,特に救急の悲鳴は
[495] 520人に達しています,18
[495] 特に救急の悲鳴は,第7波でもここまでのはなかった気が
[495] 医療からは悲痛な叫びを多く見ますが,報道があまり伝えない状況が続いています
[495] 18,34現在
[495] 救急をはじめ,医療からは悲痛な叫びを多く見ますが
[494] triangle24,今日の死者数が初めて500人を超えて
[5] アメリカで広がっているxbb,5は感染力が強く

Top Word Pairs in Tweet in G3:
[78] covid,19
[30] #coronavirus,#covid19
[17] #covid19,#covid_19
[12] until,around
[12] total,cases
[11] 19,vaccine
[11] változott,#coronavirus
[11] variant,xbb
[11] száma,világon
[11] total,deaths

Top Word Pairs in Tweet in G4:
[278] loans,157m
[278] coronavirus,loans
[278] state,schools
[278] schools,state
[278] 157m,went
[278] went,private
[278] private,schools
[278] schools,nothing
[267] nothing,opendemocracy
[266] jimfitznews,coronavirus

Top Word Pairs in Tweet in G5:
[178] covid,19
[118] cleveland,clinic
[61] booster,shot
[60] mrna,vaccines
[59] increase,risk
[59] vaccine,medrxiv
[59] 19,each
[59] disease,2019
[59] 51,000
[59] 000,cleveland

Top Word Pairs in Tweet in G6:
[138] cause,heart
[138] heart,complications
[138] cardiologists,increasingly
[138] coronavirus,infections
[138] complications,lead
[138] concerned,coronavirus
[138] increasingly,concerned
[138] lead,sudden
[138] infections,cause
[137] sudden,card

Top Word Pairs in Tweet in G7:
[116] tuvo,noticia
[116] causada,nuevo
[116] oms,tuvo
[116] covid,19
[116] conocido,sars
[116] sars,cov
[116] cov,oms
[116] coronavirus,conocido
[116] 19,enfermedad
[116] nuevo,coronavirus

Top Word Pairs in Tweet in G8:
[75] covid,death
[75] coding,death
[75] death,small
[75] detectable,amount
[75] hospitals,coding
[75] small,detectable
[75] remember,hospitals
[75] death,covid
[74] tex2_a,remember
[74] amount,coronav

Top Word Pairs in Tweet in G9:
[59] inconvenient,little
[59] scientists,worked
[59] vaccines,decades
[59] little,fact
[59] hundreds,scientists
[59] anti,vaxxers
[59] worked,mrna
[59] mrna,vaccines
[59] fact,anti
[59] vaxxers,hundreds

Top Word Pairs in Tweet in G10:
[63] 米,コロナの
[62] コロナの,公衆衛生上の緊急事態
[62] 公衆衛生上の緊急事態,宣言を延長
[58] reutersjapan,米
[53] 1,5
[53] xbb,1
[53] オミクロン派生,xbb
[53] 感染拡大を主導か,who
[53] 5,感染拡大を主導か
[50] reutersjapan,オミクロン派生

Top Replied-To
Top Replied-To in Entire Graph:
@diamondandsilk
@jim_jordan
@petersweden7
@voachinese
@marionawfal
@drelidavid
@matthancock
@freedomfanr
@healthbyjames
@foxnews

Top Replied-To in G2:
@whiteclawlesbi
@puffsthemagicd1

Top Replied-To in G5:
@marionawfal
@foxnews
@rwmalonemd
@repmtg
@skierpage
@robertkennedyjr
@elonmusk
@sensanders
@gunnabebiblical
@tomcottonar

Top Replied-To in G6:
@enemyinastate
@katespitzmiller

Top Replied-To in G9:
@patriottakes

Top Mentioned
Top Mentioned in Entire Graph:
@mikegalsworthy
@triangle24
@jimfitznews
@delcyrodriguezv
@meetjess
@reutersjapan
@aligarc24776728
@lisa_iannattone
@tex2_a
@vtvcanal8

Top Mentioned in G1:
@mikegalsworthy
@msquinnhistory

Top Mentioned in G2:
@triangle24
@luckytran
@koheikana

Top Mentioned in G3:
@ailsaforshaw
@greennomad61
@clubfmphilly
@canadasos1
@telefecordoba
@_k_stiles
@5msk32
@kw94128447
@telefeneuquen

Top Mentioned in G4:
@jimfitznews
@mikegalsworthy
@bigbaddenis

Top Mentioned in G5:
@elonmusk
@flsurgeongen
@cdcgov
@rwmalonemd
@dockaurg
@repjamescomer
@barbarasghost1
@us_fda
@massgenbrigham
@draseemmalhotra

Top Mentioned in G6:
@meetjess
@lisa_iannattone
@enemyinastate
@radcentrism
@c_a_gustave
@flahault
@tofumits
@ejustin46
@triangle24
@mamatoronto

Top Mentioned in G7:
@aligarc24776728
@danielagv100920
@marcbza2

Top Mentioned in G8:
@tex2_a
@judicialwatch
@dailycaller
@tomfitton
@repthomasmassie
@secdef

Top Mentioned in G9:
@thejackhopkins
@patriottakes
@gemini_iam2

Top Mentioned in G10:
@reutersjapan
@luna_moon7777

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@marekingu
@tommybrain
@andyvermaut
@jurylady5
@iacobellist
@tradermarcocost
@titrespresse
@la_iguanatv
@mortgage_shop

Top Tweeters in G1:
@catwoman1979
@uncleprober
@meallyhen
@josmirek
@hullfair
@sharonhoole
@gdmn1973
@lindadoherty4
@mariaaragon64
@cclark112263

Top Tweeters in G2:
@marekingu
@tenkiwa
@uchida_kawasaki
@haltaq
@isodin_sf5
@super_haka
@niigata06406444
@myrten_nussbaum
@nolnolnol
@picopico_cherry

Top Tweeters in G3:
@tomthunkitsmind
@tommybrain
@andyvermaut
@iacobellist
@titrespresse
@mortgage_shop
@realercanates1
@personalfitnes3
@kazminutes2020
@dev_discourse

Top Tweeters in G4:
@jurylady5
@billm9
@ayshamoolla
@thestephenralph
@ranilyons
@rilwanlucas
@marciaj64
@petermccue1
@lashesxx
@mauriceg88

Top Tweeters in G5:
@cagney1991
@thehill
@foxnews
@cnn
@cbsnews
@ialdaej
@marymauldin
@msnbc
@mariamisilewich
@epochtimes

Top Tweeters in G6:
@msmwatchdog2013
@loraanem
@reggiebub
@sapphixy
@joejaggi
@anik1968
@tjwoodstockny
@macgyyver
@dire_donald
@tittyvillus

Top Tweeters in G7:
@aliciacug1979
@enrique55195751
@ferrerdilio
@francis88566791
@carolin13570
@petterrovira
@chacn11lourdes
@lorenac78317719
@alvaradoameris
@auradepirela2

Top Tweeters in G8:
@vebo1991
@dailycaller
@jver2me
@paularitchie3
@retirednikitam
@bookersparticus
@theleightons327
@ohhelln14332498
@txwbo864
@jjofv

Top Tweeters in G9:
@tinamarie_80s
@rjber15
@trumpwatchnews
@1ajbarrett
@ronilj261
@sharonmwinner
@clementsira
@polygirl32
@crazybob48
@lennyllm

Top Tweeters in G10:
@1215masumasa
@aoiyurara
@sakeuchi317
@oregakitaworld
@tomotch
@fuku_chihuahua
@linusnoopy
@ippatsu_sendai
@rf0444
@kouzie01


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