Coronavirus, Twitter, 3/5/2023 10:20:29 AM, 290285


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Coronavirus_2023-03-05_02-05-36.xlsx
Coronavirus_2023-03-05_02-05-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 05, 2023
Short Description:
Coronavirus via NodeXL PERMANENTLY_REMOVED
@mikepompeo
@spartajustice
@isgro_tina
@doctormalibu
@renztom
@ebnelinsan
@wildcolonialgal
@gop
@azpetrich
@never_fascism

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

Description:
Description
The graph represents a network of 6,027 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 10:10 UTC.

The tweets in the network were tweeted over the 1130-day, 3-hour, 21-minute period from Wednesday, 29 January 2020 at 21:39 UTC to Sunday, 05 March 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 : 6027
Unique Edges : 2831
Edges With Duplicates : 10502
Total Edges : 13333
Number of Edge Types : 9
Retweet : 3683
MentionsInRetweet : 4274
Mentions : 353
Tweet : 1046
Replies to : 1191
MentionsInReplyTo : 2601
Quote : 78
MentionsInQuoteReply : 50
MentionsInQuote : 57
Self-Loops : 1531
Reciprocated Vertex Pair Ratio : 0.0283801020408163
Reciprocated Edge Ratio : 0.0551937984496124
Connected Components : 1031
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 1705
Maximum Edges in a Connected Component : 4011
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.799394
Graph Density : 0.000177594452577077
Modularity : 0.50018
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,027 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 10:10 UTC.

The tweets in the network were tweeted over the 1130-day, 3-hour, 21-minute period from Wednesday, 29 January 2020 at 21:39 UTC to Sunday, 05 March 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:
[54] https://www.washingtonpost.com/opinions/2023/03/03/select-subcommittee-coronavirus-pandemic-covidiocy/
[53] https://www.express.co.uk/news/uk/1344527/coronavirus-latest-james-o-brien-rishi-sunak-eat-out-to-help-out
[32] https://diario16.com/primera-ola-de-la-pandemia-del-coronavirus-30-mil-ancianos-ejecutados-no-por-el-influjo-de-un-virus-asesino-sino-por-el-de-los-protocolos-de-la-muerte/
[28] https://www.viveport.com/5e1030e7-a22d-4703-bc61-0b9392675357
[27] https://www.politico.com/news/2020/04/15/trump-china-coronavirus-188736
[24] https://www.militarytimes.com/news/coronavirus/2023/03/03/veterans-affairs-drops-mask-requirement-for-all-agency-medical-offices/
[22] https://calmatters.org/health/coronavirus/2023/02/covid-disparities/
[16] https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates
[16] https://trib.al/yW49h3h
[15] https://newsdigest.jp/pages/coronavirus/

Top URLs in Tweet in G1:
[3] https://knollfrank.github.io/HowBadIsMyBatch/batchCodeTable.html
[2] https://twitter.com/SpartaJustice/status/1631363125269209088
[2] https://www.nytimes.com/2023/02/26/us/politics/china-lab-leak-coronavirus-pandemic.html
[1] https://twitter.com/i/web/status/1631363125269209088
[1] https://twitter.com/SpartaJustice/status/1631363125269209088/video/1
[1] https://twitter.com/spartajustice/status/1631363125269209088
[1] https://healthfreedomdefense.org/counting-covid-deaths/
[1] https://www.cdc.gov/nchs/data/nvss/coronavirus/Alert-2-New-ICD-code-introduced-for-COVID-19-deaths.pdf
[1] https://www.gov.uk/government/publications/coronavirus-covid-19-vaccine-adverse-reactions/coronavirus-vaccine-summary-of-yellow-card-reporting
[1] https://www.cdc.gov/nchs/pressroom/podcasts/2022/20220107/20220107.htm

Top URLs in Tweet in G2:
[2] https://www.theguardian.com/world/2020/apr/17/boris-johnson-and-coronavirus-inside-story-illness
[1] https://twitter.com/BeckettUnite/status/1631219405735485443/photo/1

Top URLs in Tweet in G3:
[11] https://onenote.auscomp.com/
[9] https://diario16.com/primera-ola-de-la-pandemia-del-coronavirus-30-mil-ancianos-ejecutados-no-por-el-influjo-de-un-virus-asesino-sino-por-el-de-los-protocolos-de-la-muerte/
[8] https://twitter.com/JenMars72/status/1630574447722651648/photo/1
[6] https://www.washingtonpost.com/opinions/2023/03/03/select-subcommittee-coronavirus-pandemic-covidiocy/
[5] https://www.militarytimes.com/news/coronavirus/2023/03/03/veterans-affairs-drops-mask-requirement-for-all-agency-medical-offices/
[4] https://www.worldometers.info/coronavirus/
[4] https://www.vox.com/
[4] https://twitter.com/InnovationAtoZ/status/1632093580134080514/photo/1
[4] https://www.berliner-zeitung.de/coronavirus/corona-die-lockdown-files-geleakte-chats-belasten-britischen-ex-minister-schwer-li.323724
[4] http://www.snoopbee.com/yup_free_online_tutoring.html

Top URLs in Tweet in G4:
[2] https://vippusa.org/asymptomatic-mild-coronavirus-cases-give-you-a-co-morbidity/
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[2] https://twitter.com/KevinCate/status/1437461661724590082/video/1
[1] https://twitter.com/AzPetrich/status/1631803896686604288/photo/1
[1] https://www.cdc.gov/media/releases/2020/p0121-novel-coronavirus-travel-case.html
[1] https://twitter.com/TomthunkitsMind/status/1632154296782389250/photo/1
[1] https://twitter.com/TomthunkitsMind/status/1632108889222049792/photo/1
[1] https://www.canada.ca/en/public-health/services/diseases/coronavirus-disease-covid-19.html
[1] https://twitter.com/ryangerritsen/status/1631809687451566080/photo/1

Top URLs in Tweet in G5:
[3] https://www.vice.com/en/article/v74qj3/i-make-coronavirus-test-kits-for-a-livingwe-are-all-working-in-a-frenzy
[1] https://twitter.com/i/web/status/1632063534157709315
[1] https://twitter.com/RomanLasota/status/1632063534157709315/video/1
[1] https://medium.com/tomas-pueyo/coronavirus-articles-endorsements-fdc68614f8e3
[1] https://tomaspueyo.medium.com/coronavirus-the-hammer-and-the-dance-be9337092b56
[1] https://tomaspueyo.medium.com/coronavirus-act-today-or-people-will-die-f4d3d9cd99ca
[1] https://www.welt.de/politik/ausland/video228779357/Coronavirus-Vor-einem-Jahr-begann-in-Bergamo-das-grosse-Sterben.html
[1] https://www.br.de/nachrichten/kultur/der-militaerkonvoi-aus-bergamo-wie-eine-foto-legende-entsteht,TJZE6AQ
[1] https://www.zdf.de/nachrichten/heute-sendungen/videos/coronavirus-milde-erkrankung-100.html
[1] https://www.berliner-zeitung.de/coronavirus/corona-die-lockdown-files-geleakte-chats-belasten-britischen-ex-minister-schwer-li.323724

Top URLs in Tweet in G6:
[1] https://twitter.com/Britain_People/status/1632042763016445952/photo/1
[1] https://twitter.com/Britain_People/status/1632073453976035332/photo/1
[1] https://news.sky.com/story/coronavirus-chancellor-rishi-sunak-defends-eat-out-to-help-out-scheme-in-face-of-uks-second-wave-12091360
[1] https://bylinetimes.com/2020/04/10/coronavirus-we-must-resist-this-exercise-in-hypernormalisation/
[1] https://twitter.com/MaxMart45702532/status/1632060020270460931/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://twitter.com/ianmSC/status/1629602037594996737?t=MU2jkDdHhtZJcWfyXvmlSQ&s=19
[1] https://www.mumsnet.com/talk/coronavirus/4469121-Children-fainting-after-recovering-from-Covid
[1] https://www.nhs.uk/conditions/coronavirus-covid-19/symptoms/coronavirus-in-children/
[1] https://www.healthychildren.org/English/health-issues/conditions/COVID-19/Pages/Post-COVID-Conditions-in-Children-and-Teens.aspx?gclid=Cj0KCQiA9YugBhCZARIsAACXxeLXXiU6vk8JqmX3ITZrWpQwzfsHt3mNVbaqQG-FbRj6T4TwX0qUvZsaAoBTEALw_wcB

Top URLs in Tweet in G7:
[10] https://panampost.com/mamela-fiallo/2023/02/28/china-creo-y-libero-el-coronavirus-intencionalmente/?utm_content=buffer4217b&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[8] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/covid-19-vaccines-myth-versus-fact
[4] https://www.biospace.com/article/harvard-to-collaborate-with-chinese-researcher-on-coronavirus-therapies/
[4] https://twitter.com/AtomsksSanakan/status/1625616511757852672/photo/1
[3] https://theintercept.com/2021/09/23/coronavirus-research-grant-darpa/
[3] https://twitter.com/sharkzfanz/status/1632181390048632832/photo/1
[2] https://www.health.state.mn.us/diseases/coronavirus/stats/vbt.html
[2] https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates
[2] https://www.kusi.com/there-was-an-unexpected-40-increase-in-all-cause-deaths-in-2021/
[1] https://dailyclout.io/report-58-part-2-autopsies-reveal-medical-atrocities-of-genetic-therapies-being-used-against-a-respiratory-virus/

Top URLs in Tweet in G8:
[4] https://www.cnbc.com/2020/01/22/trump-on-coronavirus-from-china-we-have-it-totally-under-control.html
[2] https://www.conservative.org/waiver/coronavirus/
[2] https://twitter.com/elonmusk/status/1632111188153606147
[1] https://twitter.com/KanekoaTheGreat/status/1629913811045220352/video/1
[1] https://twitter.com/i/web/status/1632086396214321152
[1] https://nationalfile.com/moderna-paid-400-million-to-niaid-proving-national-file-right-in-reporting-on-the-coronavirus-cash-grab/
[1] https://www.wsj.com/articles/zero-covid-coronavirus-pandemic-lockdowns-china-australia-new-zealand-11628101945
[1] https://twitter.com/alx/status/1632174259152777222/video/1
[1] https://twitter.com/atrupar/status/1632154749402267649/video/1
[1] https://www.theguardian.com/world/2021/sep/04/oklahoma-doctor-ivermectin-covid-coronavirus

Top URLs in Tweet in G9:
[3] https://www.politico.com/news/2020/04/15/trump-china-coronavirus-188736
[2] https://doggett.house.gov/media/blog-post/timeline-trumps-coronavirus-responses
[2] https://americasvoice.news/cpac2023/
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[2] https://www.dailymail.co.uk/news/article-11820301/DONALD-J-TRUMP-world-finally-woken-truth-Wuhan-virus.html
[2] https://www.nbcnews.com/politics/donald-trump/trump-suggests-injection-disinfectant-beat-coronavirus-clean-lungs-n1191216
[2] https://foreignpolicy.com/2020/03/25/coronavirus-worst-intelligence-failure-us-history-covid-19/
[2] https://twitter.com/nonno_paula/status/1632051827540623360/photo/1
[2] https://www.dw.com/en/coronavirus-trump-pressures-fda-to-approve-covid-vaccine-quickly/a-55913762
[1] https://twitter.com/mscanny51/status/1631880413558849537/photo/1

Top URLs in Tweet in G10:
[13] https://apnews.com/article/health-elections-coronavirus-pandemic-election-2020-campaign-2016-f6b627a5576014a55a7252e542e46508
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/past-reports/10222021.html

Top Domains
Top Domains in Tweet in Entire Graph:
[991] twitter.com
[200] blogspot.com
[123] co.uk
[62] washingtonpost.com
[42] cdc.gov
[41] youtube.com
[35] nytimes.com
[33] diario16.com
[31] reuters.com
[29] politico.com

Top Domains in Tweet in G1:
[7] twitter.com
[3] github.io
[2] cdc.gov
[2] nytimes.com
[1] healthfreedomdefense.org
[1] gov.uk
[1] youtube.com
[1] ksl.com
[1] wfla.com
[1] abcnews4.com

Top Domains in Tweet in G2:
[2] theguardian.com
[1] twitter.com

Top Domains in Tweet in G3:
[149] twitter.com
[15] or.jp
[14] youtube.com
[13] jugo.social
[12] auscomp.com
[10] diario16.com
[10] theperfectenemy.com
[7] washingtonpost.com
[6] jobs2careers.com
[5] govt.nz

Top Domains in Tweet in G4:
[6] twitter.com
[3] cdc.gov
[2] vippusa.org
[1] canada.ca

Top Domains in Tweet in G5:
[3] twitter.com
[3] medium.com
[3] vice.com
[2] berliner-zeitung.de
[1] welt.de
[1] br.de
[1] zdf.de
[1] sueddeutsche.de
[1] trib.al

Top Domains in Tweet in G6:
[4] twitter.com
[1] sky.com
[1] bylinetimes.com
[1] cdc.gov
[1] mumsnet.com
[1] nhs.uk
[1] healthychildren.org

Top Domains in Tweet in G7:
[35] twitter.com
[12] panampost.com
[8] hopkinsmedicine.org
[4] biospace.com
[3] nejm.org
[3] theintercept.com
[2] mn.us
[2] worldometers.info
[2] economist.com
[2] kusi.com

Top Domains in Tweet in G8:
[23] twitter.com
[4] cnbc.com
[2] facebook.com
[2] conservative.org
[2] biomedcentral.com
[2] nytimes.com
[1] nationalfile.com
[1] wsj.com
[1] theguardian.com
[1] hopkinsmedicine.org

Top Domains in Tweet in G9:
[27] twitter.com
[3] cdc.gov
[3] npr.org
[3] politico.com
[2] house.gov
[2] americasvoice.news
[2] co.uk
[2] propublica.org
[2] nbcnews.com
[2] foreignpolicy.com

Top Domains in Tweet in G10:
[13] apnews.com
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[432] coronavirus
[386] covid19
[209] covid_19
[183] covid
[168] covidー19
[107] pandemierueckblick
[96] toquedequeda
[89] pfizer
[75] estadodealarma
[69] vaccine



Top Hashtags in Tweet in G1:
[3] howbadismybatch
[2] coronavirus
[2] sars
[1] mockingbird

Top Hashtags in Tweet in G3:
[141] coronavirus
[83] covid19
[32] covid
[21] covid_19
[13] plandemia
[11] isolationlife
[10] pandemia
[10] onenote
[10] coverage
[9] office365

Top Hashtags in Tweet in G5:
[107] pandemierueckblick
[10] coronavirus
[7] lockdownfiles
[1] nocovid
[1] corona

Top Hashtags in Tweet in G6:
[1] enoughisenough
[1] generalelectionnow

Top Hashtags in Tweet in G7:
[10] lasmásleídas
[6] coronavirus
[2] china
[2] courageousdiscourse
[2] greenalert
[1] bioweapon
[1] covid19
[1] censorship
[1] wuhanvirus
[1] wuhanflu

Top Hashtags in Tweet in G8:
[9] fauci
[3] coronavirus
[2] corona
[2] griep
[2] griepvirus
[1] wuhan
[1] covid19
[1] wetmarkets
[1] gematria
[1] singularity

Top Hashtags in Tweet in G9:
[5] theoffice
[3] elonmusk
[2] cpac2023
[2] cpac
[2] covid19
[2] nbc
[2] usa
[2] thelionking
[2] beastinbible
[2] coronavirus

Top Hashtags in Tweet in G10:
[19] neverforget
[19] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[2571] coronavirus
[910] sunak
[798] covid
[736] die
[711] china
[627] cdc
[579] trump
[529] help
[517] bill
[498] man

Top Words in Tweet in G1:
[460] coronavirus
[454] cdc
[454] gates
[452] crimes
[451] bill
[442] patents
[441] china
[440] involved
[440] show
[440] ownership

Top Words in Tweet in G2:
[737] sunak
[371] beckettunite
[369] bbc
[368] help
[368] eat
[368] today
[368] praised
[368] super
[368] launched
[368] rishi

Top Words in Tweet in G3:
[206] coronavirus
[141] #coronavirus
[124] covid
[85] 19
[83] #covid19
[40] 2023
[35] 03
[32] #covid
[31] pandemic
[29] 04

Top Words in Tweet in G4:
[329] coronavirus
[326] zuern
[326] azpetrich
[325] committee
[325] state
[325] former
[325] candidate
[325] republican
[325] spread
[325] trump

Top Words in Tweet in G5:
[556] die
[136] tomdabassman
[107] frage
[107] alle
[107] glauben
[107] bog
[107] wann
[107] #pandemierueckblick
[107] plan
[107] sinistren

Top Words in Tweet in G6:
[159] sunak
[89] eat
[88] rishi
[88] help
[82] know
[81] lying
[81] bbc
[79] man
[79] today
[79] praised

Top Words in Tweet in G7:
[43] coronavirus
[26] china
[23] vigilantfox
[16] sars
[15] lukewearechange
[14] carolina_bonita
[13] lab
[12] back
[12] evergrande
[12] way

Top Words in Tweet in G8:
[24] wuhan
[24] lab
[22] fbi
[21] covid
[20] fauci
[18] lied
[17] rustyrockets
[16] kanekoathegreat
[15] coronavirus
[14] gain

Top Words in Tweet in G9:
[28] trump
[27] coronavirus
[23] ronnyjacksontx
[16] joebiden
[15] former
[15] potus
[15] covid
[13] china
[12] state
[12] age

Top Words in Tweet in G10:
[124] coronavirus
[75] pandemic
[63] hold
[62] first
[62] hearing
[62] next
[62] origins
[62] subcommittee
[62] select
[62] republican

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[466] bill,gates
[464] rishi,sunak
[461] eat,help
[455] gates,crimes
[450] man,today
[450] sunak,launched
[450] launched,eat
[450] help,bbc
[450] super,man
[450] bbc,praised

Top Word Pairs in Tweet in G1:
[451] bill,gates
[451] gates,crimes
[440] ownership,coronavirus
[440] patents,show
[440] show,cdc
[440] cdc,ownership
[439] both,china
[439] crimes,patents
[439] coronavirus,both
[439] china,involved

Top Word Pairs in Tweet in G2:
[368] bbc,praised
[368] sunak,launched
[368] rishi,sunak
[368] eat,help
[368] today,confirmation
[368] confirmation,sunak
[368] super,man
[368] praised,super
[368] help,bbc
[368] man,today

Top Word Pairs in Tweet in G3:
[76] covid,19
[38] #coronavirus,#covid19
[20] 03,04
[16] #covid19,#covid_19
[15] 2023,03
[15] coronavirus,pandemic
[14] #coronavirus,#covid
[14] 19,data
[13] pm,#coronavirus
[13] data,2023

Top Word Pairs in Tweet in G4:
[325] committee,candidate
[325] unvaccinated,trump
[325] state,committee
[325] zuern,former
[325] linda,zuern
[325] candidate,spread
[325] republican,state
[325] massachusetts,republican
[325] spread,coronavirus
[325] supporter,linda

Top Word Pairs in Tweet in G5:
[107] #pandemierueckblick,alle
[107] glauben,stellt
[107] bog,die
[107] wann,bog
[107] die,frage
[107] die,ohnehin
[107] plan,glauben
[107] frage,wann
[107] sinistren,plan
[107] alle,die

Top Word Pairs in Tweet in G6:
[88] eat,help
[87] rishi,sunak
[79] praised,super
[79] man,today
[79] super,man
[79] bbc,praised
[79] help,bbc
[79] sunak,launched
[79] launched,eat
[72] britain_people,rishi

Top Word Pairs in Tweet in G7:
[12] way,back
[11] intencionalmente,afirma
[11] afirma,viróloga
[10] old,lab
[10] coronavirus,intencionalmente
[10] evergrande,gilead
[10] china,creó
[10] china,old
[10] #lasmásleídas,china
[10] back,names

Top Word Pairs in Tweet in G8:
[23] wuhan,lab
[14] anthony,fauci
[14] dr,anthony
[14] fauci,funded
[13] congress,both
[13] research,wuhan
[13] lab,lied
[13] funded,gain
[13] lied,congress
[13] gain,function

Top Word Pairs in Tweet in G9:
[11] republican,state
[11] former,massachusetts
[11] linda,zuern
[11] unvaccinated,trump
[11] massachusetts,republican
[11] trump,supporter
[11] state,committee
[11] zuern,former
[11] supporter,linda
[6] committee,candidate

Top Word Pairs in Tweet in G10:
[62] hearing,origins
[62] coronavirus,next
[62] next,week
[62] republican,select
[62] coronavirus,pandemic
[62] select,subcommittee
[62] subcommittee,coronavirus
[62] pandemic,hold
[62] hold,first
[62] origins,coronavirus

Top Replied-To
Top Replied-To in Entire Graph:
@otto_english
@mrjamesob
@ronnyjacksontx
@hansmahncke
@lukewearechange
@naomirwolf
@mikesington
@breitbartnews
@foxnews
@gop

Top Replied-To in G1:
@jamiesale
@deanko
@spartajustice
@wiegraffollez

Top Replied-To in G2:
@marcusjball

Top Replied-To in G4:
@lanna_mick
@roxstatepark
@ryangerritsen

Top Replied-To in G5:
@anja_prorecht
@tomdabassman
@welt

Top Replied-To in G6:
@brass2000
@sparkys22_chris
@grisdalejohn
@britain_people

Top Replied-To in G7:
@lukewearechange
@naomirwolf
@carolina_bonita
@macroskokie
@aghuff
@rthomas86
@rocksmiff
@vigilantfox
@rectangleinpalm
@nick13376257

Top Replied-To in G8:
@elonmusk
@thechiefnerd
@drjbhattacharya
@pjackson_nl
@bennyjohnson
@earnestredner
@joker5339
@bingowithbongos
@justint70545565
@semphisss

Top Replied-To in G9:
@ronnyjacksontx
@potus
@senatortimscott
@dlr1095
@corbinsabol
@realdonaldtrump
@senrickscott
@joncoopertweets
@howie1129
@xzacktruth

Top Replied-To in G10:
@iycheeice
@awokezombie

Top Mentioned
Top Mentioned in Entire Graph:
@spartajustice
@beckettunite
@azpetrich
@tomdabassman
@jjaranaz94
@traselvalle_obc
@delcyrodriguezv
@romanlasota
@drodriven2
@britain_people

Top Mentioned in G1:
@spartajustice
@reine_margot2
@jamiesale
@denachtzuster1
@patricksavalle
@cia
@bjergglad
@lumc_leiden
@ku_leuven
@erasmusmc

Top Mentioned in G2:
@beckettunite
@danielanadj
@norbet
@marcusjball

Top Mentioned in G3:
@cliffordribner
@govexec
@chevs7101
@mazvitajames
@sheffieldhcp
@molischannel
@hfrenchriviera
@anlis_malbran
@indeedamystery
@madpolls1

Top Mentioned in G4:
@azpetrich
@tomthunkitsmind
@gothicchi
@roxstatepark

Top Mentioned in G5:
@tomdabassman
@romanlasota
@globali59052451
@chanasitjonas
@berlinerzeitung
@welt
@telegraph

Top Mentioned in G6:
@britain_people
@hardeep_matharu
@maxmart45702532
@catofbengals
@beckettunite
@smallbigword

Top Mentioned in G7:
@vigilantfox
@panampost_es
@renztom
@drlimengyan1
@carolina_bonita
@therebelpatient
@lukewearechange
@wildcolonialgal
@naomirwolf
@aghuff

Top Mentioned in G8:
@rustyrockets
@kanekoathegreat
@billmaher
@miss_royal73
@bennyjohnson
@elonmusk
@joerogan
@jheil
@ggreenwald
@rumblevideo

Top Mentioned in G9:
@joebiden
@potus
@ronnyjacksontx
@cpac
@mscanny51
@realdonaldtrump
@ap
@djokernole
@nigel_farage
@daansahonsports

Top Mentioned in G10:
@funkytown_01
@popsbackagain
@christinalest1
@ca30199057chris
@12111santaluz
@_johnnymaga

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@sumariuminfo
@newsoneplace
@kittenish823
@elpoliticonews
@realercanates1
@llemj
@independent
@sosorasora3
@hiruandon89

Top Tweeters in G1:
@william85837998
@kavn
@nodateddi
@jbisright
@soso13390
@o5deka
@ingridtuinstra1
@conserve_life
@bobrebelles
@lyndacsmith

Top Tweeters in G2:
@hausofrushdi
@philmorandi
@coolmongreldog
@rubycooper007
@atw1062
@weecass1888
@lordofintent
@norbet
@anniepop2027
@tone1923

Top Tweeters in G3:
@sumariuminfo
@newsoneplace
@realercanates1
@malikobamabot
@yosoyeldearriba
@nyappiripiri
@psginna
@sicnoticias
@thack86
@scarletmonahan

Top Tweeters in G4:
@tomthunkitsmind
@mog7546
@kaleldata
@straitarrow10
@iveyjanette_207
@berlidge
@paladine
@smilenewa
@notrealdemocrat
@myradsirois1

Top Tweeters in G5:
@welt
@telegraph
@connyro_bln
@pipo1245671
@witzigwalter
@aegisbridge
@brischleu
@milkrun
@elisabethtobler
@berlinerzeitung

Top Tweeters in G6:
@tartancobweb
@heather63262308
@brown666w
@19mw98
@systonhouse
@007dmax
@kizzymay58
@thealexhughes
@andreaandreamax
@josiedunne1

Top Tweeters in G7:
@catalina_valpo
@alykhansatchu
@lawyer4laws
@valjo22
@panampost_es
@revilla_mariu
@thereal_truther
@rationaliza
@tukantamon
@naomirwolf

Top Tweeters in G8:
@diggrich_
@taradublinrocks
@genechandler17
@msnbc
@edkloosterhuis
@andykindler
@wim04789402
@blissnjoy
@willchamberlain
@ggreenwald

Top Tweeters in G9:
@debbiesva
@jmreycroft
@joncoopertweets
@ap
@komonews
@kiro7seattle
@bomber9996
@daansahonsports
@patriziascally
@missvalarie2

Top Tweeters in G10:
@lgcomin
@toscaausten
@amagleby
@birdie_2963
@curtishebert
@hopefulpatriots
@carmeli33392291
@joybell75174267
@kathymschotschi
@crrja5


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