Coronavirus, Twitter, 3/4/2023 11:26:02 AM, 290185


FAQ | Problem?

Coronavirus_2023-03-04_01-55-13.xlsx
Coronavirus_2023-03-04_01-55-13.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 04, 2023
Short Description:
Coronavirus via NodeXL PERMANENTLY_REMOVED
@spartajustice
@jengovantes
@shomburg
@sentomcotton
@aaarghs
@debbiesva
@quay_dr
@drhassa67474298
@katiepavlich
@jbergmensch

Top hashtags:
#coronavirus
#covid19
#lockdownfiles
#covid
#republicanclownshow
#covid_19
#sarscov2

Description:
Description
The graph represents a network of 6,079 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 10:00 UTC.

The tweets in the network were tweeted over the 1365-day, 11-hour, 28-minute period from Friday, 07 June 2019 at 13:32 UTC to Saturday, 04 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 : 6079
Unique Edges : 2890
Edges With Duplicates : 10025
Total Edges : 12915
Number of Edge Types : 9
Retweet : 3631
MentionsInRetweet : 4368
Replies to : 1064
MentionsInReplyTo : 2149
Tweet : 1188
Mentions : 359
Quote : 68
MentionsInQuoteReply : 63
MentionsInQuote : 25
Self-Loops : 1571
Reciprocated Vertex Pair Ratio : 0.0212111398963731
Reciprocated Edge Ratio : 0.0415411447597907
Connected Components : 1203
Single-Vertex Connected Components : 500
Maximum Vertices in a Connected Component : 2101
Maximum Edges in a Connected Component : 5146
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.805357
Graph Density : 0.00017069861282951
Modularity : 0.511622
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,079 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 10:00 UTC.

The tweets in the network were tweeted over the 1365-day, 11-hour, 28-minute period from Friday, 07 June 2019 at 13:32 UTC to Saturday, 04 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:
[76] https://www.reuters.com/article/us-health-coronavirus-china-cdc-exclusiv-idUSKBN21C3N5
[61] https://www.washingtonpost.com/opinions/2023/03/03/select-subcommittee-coronavirus-pandemic-covidiocy/
[44] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[42] https://www.politico.com/news/2020/04/15/trump-china-coronavirus-188736
[33] https://www.ctvnews.ca/health/coronavirus/new-study-casts-doubt-on-effectiveness-of-covid-19-border-closures-1.6296675?cid=sm%3Atrueanthem%3A%7B%7Bcampaignname%7D%7D%3Atwitterpost%E2%80%8B&taid=640133da74d9ad000163d3ae&utm_campaign=trueAnthem%3A+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[32] https://twitter.com/CTVNews/status/1631439340088721409/photo/1
[20] https://twitter.com/MARIACA49946720/status/1631726204276428800/photo/1
[18] https://www.politico.com/amp/news/2020/04/15/trump-china-coronavirus-188736
[13] https://www.spiegel.de/kultur/die-selbstliebe-in-zeiten-des-coronavirus-kolumne-von-margarete-stokowski-a-b5b07be3-6b2b-4ebc-b2db-7e3332b5089d
[13] https://twitter.com/marga_owski/status/1631730743293493248/photo/1

Top URLs in Tweet in G1:
[4] https://twitter.com/NoToCBDC_s/status/1608766220479926273?s=20
[3] https://twitter.com/SpartaJustice/status/1631363125269209088?s=20
[1] https://twitter.com/i/web/status/1631363125269209088
[1] https://twitter.com/SpartaJustice/status/1631363125269209088/video/1
[1] https://twitter.com/i/web/status/1631410557336051712
[1] https://twitter.com/SpartaJustice/status/1631363125269209088
[1] https://nbcmontana.com/news/coronavirus/montana-rep-greg-kmetz-bill-ban-blood-donations-people-covid-19-vaccine-coronavirus-lawmaker-house-republican-gay-lgbtq-men-sex-fda-restriction-food-drug-administration
[1] https://twitter.com/spartajustice/status/1631363125269209088
[1] https://www.scripps.edu/news-and-events/press-room/2020/20200317-andersen-covid-19-coronavirus.html
[1] https://publichealth.jhu.edu/2022/origins-of-sars-cov-2

Top URLs in Tweet in G2:
[44] https://www.washingtonpost.com/opinions/2023/03/03/select-subcommittee-coronavirus-pandemic-covidiocy/
[11] https://www.pinalcentral.com/casa_grande_dispatch/area_news/board-discusses-countys-outreach-for-covid-vaccine/article_9216f41c-d075-5e20-a8dc-69edee0b9b19.html?utm_campaign=blox&utm_source=twitter&utm_medium=social
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html?utm_source=CDC+-+Vaccination+Effectiveness+
[5] https://www.breitbart.com/politics/2023/03/03/establishment-outlets-global-disinformation-index-engage-in-disinformation-by-targeting-sen-tom-cotton-for-wuhan-coronavirus-lab-leak-theory/
[4] https://onenote.auscomp.com/
[4] https://twitter.com/RichmondCity_HD/status/1631735763799769096/photo/1
[4] https://twitter.com/RichmondCity_HD/status/1631734745179586566/photo/1
[4] https://twitter.com/MichaelInTruth/status/1631699976345784320/photo/1
[4] https://twitter.com/gorgepulse/status/1631799690118467586/photo/1
[4] https://twitter.com/Hosp_Equipments/status/1631739956853891074/photo/1

Top URLs in Tweet in G3:
[3] https://twitter.com/PolitlcsUK/status/1631630154475634688/photo/1
[3] https://www.bbc.co.uk/news/uk-politics-64836425
[3] https://twitter.com/Steven_Swinford/status/1631629041940791297/photo/1
[2] https://twitter.com/BethRigby/status/1631636018020450305/photo/1
[1] https://www.thelondoneconomic.com/politics/boris-johnson-may-have-misled-parliament-on-several-occasions-344576/
[1] https://twitter.com/LucyWoodslucy70/status/1631707305350660101/photo/1
[1] https://www.theguardian.com/world/2021/mar/01/tory-linked-pr-firm-hired-provide-test-and-trace-reputation-management-covid
[1] https://www.independent.co.uk/travel/news-and-advice/airlines-airports-hotel-quarantine-covid-hancock-b2293411.html
[1] https://news.sky.com/story/politics-news-latest-rishi-sunak-heads-to-northern-ireland-to-encourage-support-for-windsor-framework-12593360
[1] https://news.sky.com/story/amp/coronavirus-government-office-fined-after-staff-failed-to-follow-social-distancing-rules-12068642

Top URLs in Tweet in G4:
[1] https://twitter.com/mtaibbi/status/1631685912588419072
[1] https://twitter.com/FaceTheNation/status/1226540067805650944
[1] https://www.politico.com/news/2020/09/09/trump-coronavirus-deadly-downplayed-risk-410796
[1] https://townhall.com/tipsheet/leahbarkoukis/2023/03/02/marty-makary-testimony-n2620112

Top URLs in Tweet in G5:
[20] https://www.politico.com/news/2020/04/15/trump-china-coronavirus-188736
[4] https://www.theatlantic.com/politics/archive/2020/11/trumps-lies-about-coronavirus/608647/
[3] https://podcasts.apple.com/us/podcast/jd-vance-joins-live-at-cpac-wuhan-virus-politicized/id1495601614?i=1000602607033
[2] https://twitter.com/EndWokeness/status/1631773887003348992/video/1
[2] https://www.morganstanley.com/ideas/esg-funds-outperform-peers-coronavirus
[2] https://www.politico.com/amp/news/2020/04/15/trump-china-coronavirus-188736
[2] https://twitter.com/Delta5by5Dawn/status/1263681607870943232/photo/1
[2] https://www.businessinsider.com/american-researchers-warned-trump-admin-about-coronavirus-last-year-2020-4
[2] https://www.forbes.com/sites/tommybeer/2020/09/22/ivankas-trademark-requests-were-fast-tracked-in-china-after-trump-was-elected/amp/
[2] https://www.newsweek.com/fox-news-host-confronts-trump-praise-chinas-xi-jinping-hes-killer-1660954?amp=1

Top URLs in Tweet in G6:
[4] https://twitter.com/RWittenbrink/status/1631597053812916225/photo/1
[1] https://www1.wdr.de/nachrichten/themen/coronavirus/corona-grippe-krankheitswelle-karneval-100.html
[1] https://twitter.com/viktoriakeller_/status/1631604118241394690
[1] https://www.forbes.com/sites/joshuacohen/2023/03/02/covid-19s-enormous-death-toll-worldwide-life-expectancy-has-experienced-a-steep-decline/
[1] https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates
[1] https://twitter.com/RWittenbrink/status/1631408521186091013/photo/1
[1] https://twitter.com/RWittenbrink/status/1627725407993593884/photo/1
[1] https://www.swr.de/swraktuell/baden-wuerttemberg/so-viele-menschen-in-bw-sind-von-long-covid-betroffen-102.html
[1] https://www.sueddeutsche.de/bayern/long-covid-post-covid-corona-bayern-1.5758323
[1] https://twitter.com/yousitonmyspot/status/1631624129223720960

Top URLs in Tweet in G7:
[1] https://twitter.com/AzPetrich/status/1631803896686604288/photo/1

Top URLs in Tweet in G8:
[6] https://www.washingtonpost.com/opinions/2023/03/03/select-subcommittee-coronavirus-pandemic-covidiocy/
[4] https://trib.al/EYCji1P
[3] https://theintercept.com/document/2021/09/08/understanding-the-risk-of-bat-coronavirus-emergence/
[3] https://www.freep.com/in-depth/news/local/michigan/detroit/2020/10/25/kiessling-brothers-overdose-coronavirus-stimulus-money/5910181002/
[2] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0052752
[2] https://www.science.org/content/article/nih-imposes-outrageous-conditions-resuming-coronavirus-grant-targeted-trump?cookieSet=1
[2] https://www.washingtonpost.com/opinions/2023/03/03/covid-lab-leak-wuhan-china/
[2] https://www.science.org/pb-assets/PDF/News%20PDFs/Shi%20Zhengli%20Q&A-1630433861.pdf
[2] https://www.cnbc.com/2020/04/24/coronavirus-trump-clings-to-china-trade-deal-as-beijing-backlash-grows.html
[1] https://twitter.com/CaelorumAngelus/status/1631730765989036032/photo/1

Top URLs in Tweet in G9:
[2] https://www.politico.com/news/2020/04/15/trump-china-coronavirus-188736
[2] https://www.washingtonpost.com/health/2020/04/22/coronavirus-blood-clots/
[1] https://twitter.com/sophiadahl1/status/1631219975628136450
[1] https://twitter.com/Acyn/status/1631473757268197379/video/1
[1] https://twitter.com/caseyjohn885/status/1631661225007276033/photo/1
[1] https://wikispooks.com/wiki/The_Good_Club
[1] https://twitter.com/caseyjohn885/status/1631768304858660864/photo/1
[1] https://twitter.com/sophiadahl1/status/1631219975628136450/video/1
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580522/
[1] https://twitter.com/acyn/status/1631473757268197379

Top URLs in Tweet in G10:
[9] https://www.blckbx.tv/corona/britse-regering-wist-dat-coronavirus-niet-gevaarlijk-was-blijkt-uit-gelekte-lockdown-files?utm_source=website
[2] https://www.telegraaf.nl/t/1375811767/
[1] https://twitter.com/wftproof/status/1472699498413625345
[1] https://www.cureus.com/articles/134233-reaffirming-a-positive-correlation-between-number-of-vaccine-doses-and-infant-mortality-rates-a-response-to-critics#!/
[1] https://nieuws.kuleuven.be/nl/2014/bestaande-medicijnen-remmen-mers-virus-in-celkweken
[1] https://twitter.com/Denachtzuster1/status/1631715602921398289/photo/1
[1] https://twitter.com/Wftproof/status/1631533986819330048
[1] https://akashictimes.co.uk/military-study-shows-flu-vaccine-may-increase-risk-of-coronavirus-in-susceptible-individuals/
[1] https://www.blckbx.tv/corona/britse-regering-wist-dat-coronavirus-niet-gevaarlijk-was-blijkt-uit-gelekte-lockdown-files
[1] https://twitter.com/blckbxnews/status/1631257705552703490/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[1017] twitter.com
[104] reuters.com
[100] washingtonpost.com
[72] cdc.gov
[69] politico.com
[59] ctvnews.ca
[55] co.uk
[53] youtube.com
[24] ac.jp
[24] nih.gov

Top Domains in Tweet in G1:
[13] twitter.com
[1] nbcmontana.com
[1] scripps.edu
[1] jhu.edu
[1] youtube.com

Top Domains in Tweet in G2:
[192] twitter.com
[52] washingtonpost.com
[18] theperfectenemy.com
[17] youtube.com
[13] shawlocal.com
[11] pinalcentral.com
[10] or.jp
[10] cdc.gov
[9] breitbart.com
[7] com.ar

Top Domains in Tweet in G3:
[10] twitter.com
[5] co.uk
[2] sky.com
[1] thelondoneconomic.com
[1] theguardian.com
[1] travellingtabby.com

Top Domains in Tweet in G4:
[2] twitter.com
[1] politico.com
[1] townhall.com

Top Domains in Tweet in G5:
[29] twitter.com
[24] politico.com
[4] theatlantic.com
[4] npr.org
[3] apple.com
[3] forbes.com
[2] morganstanley.com
[2] nytimes.com
[2] businessinsider.com
[2] newsweek.com

Top Domains in Tweet in G6:
[8] twitter.com
[2] ourworldindata.org
[1] wdr.de
[1] forbes.com
[1] economist.com
[1] swr.de
[1] sueddeutsche.de
[1] vfa.de
[1] infektionsschutz.de
[1] self-diagnostics.com

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

Top Domains in Tweet in G8:
[8] twitter.com
[8] washingtonpost.com
[5] trib.al
[4] science.org
[3] theintercept.com
[3] nature.com
[3] cnbc.com
[3] freep.com
[2] plos.org
[1] straighttalkmd.com

Top Domains in Tweet in G9:
[8] twitter.com
[2] politico.com
[2] washingtonpost.com
[2] com.au
[1] wikispooks.com
[1] nih.gov
[1] nature.com
[1] substack.com
[1] cnn.com
[1] jamanetwork.com

Top Domains in Tweet in G10:
[10] blckbx.tv
[5] twitter.com
[2] telegraaf.nl
[1] cureus.com
[1] kuleuven.be
[1] co.uk
[1] bvnl.nl

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[296] coronavirus
[192] covid19
[68] lockdownfiles
[41] covid
[35] republicanclownshow
[35] covid_19
[22] sarscov2
[19] usa
[19] wuhan
[17] longcovid



Top Hashtags in Tweet in G1:
[1] covidcrimes

Top Hashtags in Tweet in G2:
[142] coronavirus
[72] covid19
[20] covid_19
[20] covid
[12] publichealth
[10] coverage
[8] corona
[8] covidー19
[7] pandemic
[7] vaccines

Top Hashtags in Tweet in G5:
[3] coronavirus
[1] verdict
[1] covid19
[1] republicansaretheproblem
[1] bot
[1] wuhan

Top Hashtags in Tweet in G6:
[9] longcovid
[8] sarscov2
[7] coronavirus
[7] covid19
[5] mecfs
[3] maskup
[2] covidisnotover
[2] maskebleibtauf
[2] longcovidkids
[2] impfenschuetzt

Top Hashtags in Tweet in G8:
[1] covid19
[1] magamorons
[1] longcovidiocy
[1] crimeofthecentury
[1] covid

Top Hashtags in Tweet in G9:
[3] coronavirus
[1] covid19
[1] coinkydinks
[1] lockdownfiles
[1] worldwildlifeday

Top Hashtags in Tweet in G10:
[5] omt
[5] coronavirus
[5] wuhan
[3] erasmusmc
[1] wuhanlableak
[1] bvnl

Top Words
Top Words in Tweet in Entire Graph:
[2918] coronavirus
[1370] china
[957] bill
[891] covid
[889] cdc
[865] gates
[849] both
[843] show
[837] crimes
[831] involved

Top Words in Tweet in G1:
[816] coronavirus
[814] gates
[811] bill
[809] spartajustice
[807] cdc
[805] involved
[805] crimes
[805] patents
[805] creation
[804] china

Top Words in Tweet in G2:
[243] coronavirus
[164] covid
[142] #coronavirus
[120] 19
[72] #covid19
[54] 03
[45] long
[40] cases
[39] cure
[39] covidiocy

Top Words in Tweet in G3:
[248] coronavirus
[174] breaches
[163] johnson
[129] boris
[114] privileges
[107] breaking
[93] committee
[92] evidence
[91] 'obvious'
[91] guidance

Top Words in Tweet in G4:
[329] china
[165] people
[165] drtedros
[165] died
[165] lied
[164] lie
[164] helped
[164] everything
[164] world
[164] health

Top Words in Tweet in G5:
[76] coronavirus
[46] china
[36] covid
[35] trump
[32] debbiesva
[31] deaths
[24] prevented
[24] collinrugg
[23] 40
[23] 19

Top Words in Tweet in G6:
[85] die
[38] corona
[37] köln
[37] infektionszahlen
[37] liegt
[37] quasi
[37] hochburgen
[37] aschermittwoch
[37] karnevals
[37] explodiert

Top Words in Tweet in G7:
[100] committee
[100] supporter
[100] zuern
[100] massachusetts
[100] candidate
[100] spread
[100] trump
[100] linda
[100] state
[100] republican

Top Words in Tweet in G8:
[56] coronavirus
[47] covid
[32] sars
[29] human
[25] quay_dr
[21] passage
[21] trump
[21] labs
[20] 2013
[20] gof

Top Words in Tweet in G9:
[21] bill
[17] virus
[17] gates
[15] event
[15] 201
[14] 2019
[13] coronavirus
[12] attacking
[12] sophiadahl1
[12] 1997

Top Words in Tweet in G10:
[87] dat
[48] coronavirus
[46] uit
[38] sars
[38] bestaande
[38] medicijnen
[31] mevrouw
[30] virus
[29] hansvantelling
[29] fbi

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[851] bill,gates
[822] show,cdc
[822] both,china
[822] cdc,ownership
[822] patents,show
[822] ownership,coronavirus
[822] involved,creation
[822] coronavirus,both
[822] china,involved
[820] crimes,patents

Top Word Pairs in Tweet in G1:
[810] bill,gates
[804] cdc,ownership
[804] coronavirus,both
[804] crimes,patents
[804] gates,crimes
[804] both,china
[804] china,involved
[804] ownership,coronavirus
[804] show,cdc
[804] involved,creation

Top Word Pairs in Tweet in G2:
[114] covid,19
[37] cure,long
[37] long,covidiocy
[36] ain,cure
[34] #coronavirus,#covid19
[24] 03,03
[21] coronavirus,pandemic
[18] perfect,enemy
[17] #covid19,#covid_19
[16] news,perfect

Top Word Pairs in Tweet in G3:
[174] breaches,coronavirus
[126] boris,johnson
[93] privileges,committee
[91] guidance,'obvious'
[91] coronavirus,guidance
[83] coronavirus,rules
[67] breaching,coronavirus
[67] naive,person
[67] person,believe
[67] pretty,naive

Top Word Pairs in Tweet in G4:
[165] people,died
[164] correct,china
[164] organization,led
[164] health,organization
[164] china,lied
[164] china,lie
[164] died,world
[164] led,drtedros
[164] everything,correct
[164] world,health

Top Word Pairs in Tweet in G5:
[23] covid,19
[23] deaths,prevented
[22] coronavirus,deaths
[22] prevented,disproportionate
[22] roughly,40
[22] impact,covid
[22] 40,coronavirus
[22] disproportionate,impact
[15] united,states
[11] tedcruz,roughly

Top Word Pairs in Tweet in G6:
[37] köln,liegt
[37] liegt,die
[37] hochburgen,quasi
[37] infektionszahlen,karnevals
[37] quasi,explodiert
[37] aschermittwoch,die
[37] die,corona
[37] corona,infektionszahlen
[37] karnevals,hochburgen
[37] explodiert,köln

Top Word Pairs in Tweet in G7:
[100] trump,supporter
[100] massachusetts,republican
[100] zuern,former
[100] linda,zuern
[100] republican,state
[100] candidate,spread
[100] supporter,linda
[100] state,committee
[100] committee,candidate
[100] unvaccinated,trump

Top Word Pairs in Tweet in G8:
[21] coronavirus,human
[19] human,pathogen
[19] happened,sars
[19] pathogen,happened
[19] serial,passage
[19] gof,serial
[19] lawrence,livermore
[19] cow,coronavirus
[19] passage,convert
[19] convert,cow

Top Word Pairs in Tweet in G9:
[15] event,201
[15] bill,gates
[12] attacking,virus
[11] _jenniferlong,charlotteruse3
[11] benjami59264573,_jenniferlong
[11] michaelpbreton,crispr_cas69
[11] charlotteruse3,michaelpbreton
[11] crispr_cas69,kaiserineuropa
[9] kaiserineuropa,bpinckaer
[8] 2019,bill

Top Word Pairs in Tweet in G10:
[39] dat,coronavirus
[38] bestaande,medicijnen
[28] wuhan,laboratorium
[28] weet,dat
[28] zeker,weet
[28] fbi,bijna
[28] dat,fbi
[28] mevrouw,koopmans
[28] baalt,feit
[28] bijna,zeker

Top Replied-To
Top Replied-To in Entire Graph:
@laurenboebert
@tedcruz
@cpho_canada
@warclandestine
@collinrugg
@foxnews
@slackerbarista
@esgcanquesherby
@marshablackburn
@bear91_blue

Top Replied-To in G1:
@bennyjohnson
@maximus_hoggus
@spartajustice
@jamiesale
@vigilantfox
@molly_mc007
@blood_usa

Top Replied-To in G3:
@angelarayner
@danielanadj
@cwthompson1965
@lianne150652568

Top Replied-To in G4:
@katiepavlich

Top Replied-To in G5:
@tedcruz
@collinrugg
@marshablackburn
@debbiesva
@nikkihaley
@ksorbs
@sentomcotton
@cpac
@senatorhagerty
@thehill

Top Replied-To in G6:
@rodneycorbine
@einfach_machen3
@sven89076236
@news20202020
@ernoemarianne
@grutterstephan
@camilo2010
@nm03539348
@lie_no_more

Top Replied-To in G8:
@joshrogin
@disclosetv
@r_h_ebright
@atuntable
@mvankerkhove
@florin_uncovers
@forbes
@tony_vandongen
@quay_dr
@zasdak

Top Replied-To in G9:
@rwmalonemd
@permaconsultant
@acyn
@caseyjohn885
@incrementallog1
@clichyrose3
@tommy3gunnz3
@debraagordon
@drombit
@cosmosmom1

Top Replied-To in G10:
@mrtbollen
@john_bumblebee
@abflipse

Top Mentioned
Top Mentioned in Entire Graph:
@spartajustice
@drtedros
@katiepavlich
@delcyrodriguezv
@azpetrich
@ultradane
@shomburg
@kurtbardella
@danielanadj
@beschlossdc

Top Mentioned in G1:
@spartajustice
@bennyjohnson
@notocbdc_s
@joerogan
@jamiesale
@caseyjohn885
@incrementallog1
@benjami59264573
@_jenniferlong
@charlotteruse3

Top Mentioned in G2:
@asdrubal1963
@kazimbridges
@casinotop1000
@npsw
@lutherburgsvik
@realsomethings1
@angelartsbiz
@molischannel
@xico_alexandre
@sinsiglasya

Top Mentioned in G3:
@danielanadj
@politlcsuk
@steven_swinford
@lucywoodslucy70
@stormysturgeon
@mikegalsworthy
@centralbylines
@bethrigby
@jjse31
@anniesomeone1

Top Mentioned in G4:
@drtedros
@katiepavlich
@martymakary
@spartajustice
@nclalegal
@ultradane

Top Mentioned in G5:
@debbiesva
@sentomcotton
@collinrugg
@tedcruz
@marshablackburn
@geno_kusa
@realdonaldtrump
@terry_jepson
@nikkihaley
@ksorbs

Top Mentioned in G6:
@wdraktuell
@rwittenbrink
@karl_lauterbach
@welt
@tim_roehn
@keksy19
@andrebuchheim
@lauwarmeravioli
@58brunobrunello
@ilokhan

Top Mentioned in G7:
@azpetrich

Top Mentioned in G8:
@quay_dr
@r_h_ebright
@caelorumangelus
@milbank
@joshrogin
@humblesci
@stevenemassey
@daoyu15
@biophysicsfl
@ydeigin

Top Mentioned in G9:
@sophiadahl1
@benjami59264573
@_jenniferlong
@charlotteruse3
@michaelpbreton
@crispr_cas69
@kaiserineuropa
@incrementallog1
@caseyjohn885

Top Mentioned in G10:
@hansvantelling
@denachtzuster1
@margabult
@marionkoopmans
@blckbxnews
@bvnlnederland
@wftproof
@telegraaf
@mr_smith_econ
@wierdduk

Top Tweeters
Top Tweeters in Entire Graph:
@infoitinterno
@myfavoritescene
@jurylady5
@sumariuminfo
@mortgage_shop
@joni_looking
@roblwilson
@serendipitysays
@cooperativa
@independent

Top Tweeters in G1:
@drsue19380
@andyhammers
@mom2gbd
@dorothyhesp
@sasky19591
@rookieuserim
@steveg06322664
@laurabusse
@stewbiedoobydo
@wellscharlene

Top Tweeters in G2:
@infoitinterno
@sumariuminfo
@mortgage_shop
@newsfilterio
@cota3143
@topinforma7
@ambulsiva
@bokura
@newsintweetscom
@mile_by_mile

Top Tweeters in G3:
@roblwilson
@1loriking
@margymayell
@ferguson2811
@thestephenralph
@catherinemginn
@uncleprober
@david96212152
@juliecuninghame
@amandajs11

Top Tweeters in G4:
@jazzymsc
@sissywillis
@sabrinanc10
@kjune65
@breadandsalad
@honduran_lion
@republicisdead
@granmanh
@clrfldcdaughtry
@juliew38138

Top Tweeters in G5:
@thehill
@debbiesva
@suzannelepage1
@upschittscreek1
@2dogknight
@vancouverboomer
@thinkngmansgame
@ebizarch
@tray_198
@toniconfid

Top Tweeters in G6:
@yoga_and_more
@welt
@michael_kunz
@bild
@schultheiseva
@sixteentender
@beaute_du_noir_
@celiakandis
@heisse13
@wdraktuell

Top Tweeters in G7:
@princessbravato
@janet_yackle
@concernedwhite1
@dbluewave20
@verticalrepeat
@paruchgretchen
@lott_hayley
@ebner_jane
@sprbrighting
@jusplaintalk101

Top Tweeters in G8:
@bassaces1
@tallyannae
@forbes
@washingtonpost
@wsj
@loonauntie
@yazzy_321
@people1stplanet
@larryboorstein
@postopinions

Top Tweeters in G9:
@kebie19
@joe_warmington
@acyn
@backtolife_2023
@makoto_au_japon
@michaelpbreton
@21wire
@sophiadahl1
@thomas_binder
@berniespofforth

Top Tweeters in G10:
@nelliejs501
@telegraaf
@anjamekenkamp
@plepsart
@wierdduk
@denise07190935
@esthervd_r
@pina2345
@oscarprincen
@eurolarge


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.