SARS-COV, Twitter, 2/4/2023 12:49:30 PM, 288508


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SARS-COV_2023-02-04_03-50-25.xlsx
SARS-COV_2023-02-04_03-50-25.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 04, 2023
Short Description:
SARS-COV via NodeXL https://bit.ly/3YmBs5N
@youarelobbylud
@eh_den
@rwmalonemd
@vieramalach
@missylyn19
@drcole12
@xalphawarriorx
@shellymarven
@realmickyartful
@klveritas

Top hashtags:
#pfizer
#biontech
#sarscov2
#covid19
#longcovid
#coverpage
#covid

Description:
Description
The graph represents a network of 5,655 Twitter users whose recent tweets contained "SARS-COV", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:53 UTC.

The tweets in the network were tweeted over the 1972-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 February 2023 at 00:55 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 : 5655
Unique Edges : 2697
Edges With Duplicates : 11639
Total Edges : 14336
Number of Edge Types : 9
Retweet : 3919
MentionsInRetweet : 4464
MentionsInReplyTo : 3890
Replies to : 1336
Tweet : 458
MentionsInQuoteReply : 59
Quote : 91
MentionsInQuote : 41
Mentions : 78
Self-Loops : 954
Reciprocated Vertex Pair Ratio : 0.036610268378063
Reciprocated Edge Ratio : 0.0706345856198115
Connected Components : 531
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 3804
Maximum Edges in a Connected Component : 10483
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.601172
Graph Density : 0.000222278727578607
Modularity : 0.469375
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,655 Twitter users whose recent tweets contained "SARS-COV", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:53 UTC.

The tweets in the network were tweeted over the 1972-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 February 2023 at 00:55 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 : SARS-COV
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:
[28] https://pubmed.ncbi.nlm.nih.gov/33191178/
[24] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092805/#__ffn_sectitle
[9] https://pubs.acs.org/doi/10.1021/acs.langmuir.2c00671
[8] https://www.news-medical.net/news/20230123/Potent-small-molecule-inhibitors-against-SARS-CoV-MERS-CoV-and-SARS-CoV-2.aspx
[7] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1769406/
[7] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41396-023-01368-2
[7] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797993/
[6] https://twitter.com/YouAreLobbyLud/status/1610617921692131334
[6] https://www.njctw.com/
[6] https://www.hiclover.com/

Top URLs in Tweet in G1:
[2] https://twitter.com/YouAreLobbyLud/status/1585476128038277121/photo/1
[1] https://labsafety.gwu.edu/sites/g/files/zaxdzs2451/f/downloads/Biosafety%20Levels%20for%20Biological%20Agents.pdf
[1] https://www.biorxiv.org/content/10.1101/2022.11.23.517532v1.full.pdf
[1] https://twitter.com/YouAreLobbyLud/status/1610617921692131334/photo/1
[1] https://twitter.com/YouAreLobbyLud/status/1610617934476632065/photo/1
[1] https://twitter.com/YouAreLobbyLud/status/1610617934476632065
[1] https://twitter.com/ampincivero/status/1610680639304470536/photo/1
[1] https://twitter.com/YouAreLobbyLud/status/1610617921692131334
[1] https://www.mdpi.com/2227-9059/11/1/180
[1] https://twitter.com/KashPrime/status/1611573764151558151/photo/1

Top URLs in Tweet in G2:
[4] https://twitter.com/RWMaloneMD/status/1609550833598844931
[2] https://twitter.com/ArtbyStiles/status/1619163999635148800/photo/1
[1] https://www.theepochtimes.com/health/ivermectin-is-safe-and-effective-the-evidence_4944960.html?utm_source=share-btn-copylink
[1] https://twitter.com/RWMaloneMD/status/1621510035607265281/photo/1
[1] https://twitter.com/emeriticus/status/1620188358143250434
[1] https://stateofthenation.co/?p=75714
[1] https://twitter.com/RWMaloneMD/status/1607710183022628864
[1] https://twitter.com/madforfree/status/1611989829767544833/photo/1
[1] https://portlandpress.com/clinsci/article/135/24/2667/230273/The-SARS-CoV-2-Spike-protein-disrupts-human
[1] https://www.kingjamesbibledictionary.com/StrongsNo/G4742/Marks

Top URLs in Tweet in G3:
[4] https://twitter.com/_ppmv/status/1577980530339024898/photo/1
[4] https://twitter.com/_ppmv/status/1601311718285922304/photo/1
[4] https://twitter.com/DinMariagraziaA/status/1616435837679423488/photo/1
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41396-023-01368-2
[2] https://twitter.com/_ppmv/status/1615036406488784896/photo/1
[2] https://twitter.com/_ppmv/status/1621288472211251200/photo/1
[2] https://www.healthline.com/health/covid-respiratory-or-vascular
[2] https://globalnews.ca/news/404562/sars-10-years-later-how-are-survivors-faring-now/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnrmicro2090
[1] https://twitter.com/ejustin46/status/1616642937722646535/photo/1

Top URLs in Tweet in G5:
[24] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092805/#__ffn_sectitle
[4] https://twitter.com/NeBirgitta/status/1621588333909491712/photo/1
[4] https://twitter.com/KeithEv84928885/status/1513557093537787912/photo/1
[3] https://twitter.com/DlakaDarko/status/1617970020507881473/photo/1
[2] https://twitter.com/VBruttel/status/1617547197888823297/photo/1
[2] https://www.sec.gov/Archives/edgar/data/1776985/000119312519241112/d635330dex1037.htm
[2] https://twitter.com/DlakaDarko/status/1614648521122086913/photo/1
[2] https://twitter.com/KeithEv84928885/status/1512917576858451973?t=iCO-_Qj80P5_swEFLLfkzQ&s=19
[1] https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1.full.pdf
[1] https://www.sciencedirect.com/science/article/pii/S1873506120304165

Top URLs in Tweet in G6:
[16] https://pubmed.ncbi.nlm.nih.gov/33191178/
[6] https://www.njctw.com/
[6] https://www.hiclover.com/
[4] https://twitter.com/Pineal_Art/status/1621053231165235202/photo/1
[4] https://twitter.com/Pineal_Art/status/1621053219362459648/photo/1
[4] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618
[3] http://forumvse.si
[3] https://pubmed.ncbi.nlm.nih.gov/22536382/
[2] https://www.news-medical.net/news/20230123/Potent-small-molecule-inhibitors-against-SARS-CoV-MERS-CoV-and-SARS-CoV-2.aspx
[2] https://twitter.com/skrased85/status/1446195650186592264/photo/1

Top URLs in Tweet in G7:
[2] https://twitter.com/ChanceGardiner/status/1613262152076238867/photo/1
[1] https://www.radioradio.it/2021/06/sars-cov-2-manipolato-laboratorio-dott-stramezzi/
[1] https://www.quotidianpost.it/il-dottor-stramezzi-spiega-levoluzione-della-proteina-spike-nel-corpo-umano/
[1] https://www.documentcloud.org/documents/23178920-hvistendahlthe-intercept-unc-03-07-14-incident-report-to-nih-osp
[1] https://twitter.com/ChanceGardi/status/1615138808198037504/photo/1
[1] https://web.archive.org/web/20220112081830/https://www.who.int/csr/resources/publications/Adviceusemaskscommunityrevised.pdf
[1] https://web.archive.org/web/20090515071516/https://www.who.int/csr/resources/publications/Adviceusemaskscommunityrevised.pdf
[1] https://twitter.com/ChanceGardiner/status/1613262147034685445/photo/1
[1] https://www.youtube.com/watch?v=BG7_jYfsQws&feature=youtu.be

[1] https://twitter.com/AStramezzi/status/1619508855569793024

Top URLs in Tweet in G8:
[1] https://twitter.com/xAlphaWarriorx/status/1621064560273940480/photo/1

Top URLs in Tweet in G9:
[4] https://twitter.com/NeherBirgitta/status/1558133816992190467/photo/1
[3] https://www.mdpi.com/2076-393X/10/5/708
[2] https://twitter.com/DrLBoominathan/status/1621552434660401158/photo/1
[1] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035876
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092805/
[1] https://twitter.com/christarpher72/status/1617680648545918977/photo/1
[1] https://twitter.com/FreitasABR/status/1407611399593996288
[1] https://www.abc.net.au/news/2022-02-20/tributes-flow-for-michelle-hayes-covid-death/100846044
[1] https://andrewkaufmanmd.com/settling-the-virus-debate/
[1] https://www.pnas.org/doi/10.1073/pnas.2210361120

Top URLs in Tweet in G10:
[2] https://twitter.com/treponem/status/1614618294249562117/photo/1
[1] https://twitter.com/Rossana38510044/status/1620353908739817473
[1] https://www.microbe.tv/twiv/twiv-615/
[1] https://twitter.com/NortonRadd/status/1612808029396762625/video/1
[1] https://twitter.com/Ch60588741/status/1612960129921449984
[1] https://twitter.com/Ch60588741/status/1612960129921449984/photo/1
[1] https://twitter.com/Ch60588741/status/1612960218845007872/photo/1
[1] https://twitter.com/Ch60588741/status/1612960304173924352/photo/1
[1] https://twitter.com/Ch60588741/status/1612961232671195138/photo/1
[1] https://twitter.com/Ch60588741/status/1612960604503027713/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[668] twitter.com
[163] nih.gov
[31] nature.com
[15] substack.com
[13] biorxiv.org
[12] njctw.com
[11] news-medical.net
[11] acs.org
[11] google.com
[10] biomedcentral.com

Top Domains in Tweet in G1:
[8] twitter.com
[1] gwu.edu
[1] biorxiv.org
[1] mdpi.com

Top Domains in Tweet in G2:
[10] twitter.com
[2] nih.gov
[1] theepochtimes.com
[1] stateofthenation.co
[1] portlandpress.com
[1] kingjamesbibledictionary.com

Top Domains in Tweet in G3:
[59] twitter.com
[3] nature.com
[2] mdpi.com
[2] merckmanuals.com
[2] healthline.com
[2] globalnews.ca
[1] biorxiv.org
[1] on.ca
[1] outbreak.info
[1] theglobeandmail.com

Top Domains in Tweet in G5:
[39] twitter.com
[31] nih.gov
[5] substack.com
[2] sciencedirect.com
[2] sec.gov
[2] nature.com
[1] biorxiv.org
[1] theintercept.com
[1] science.org
[1] cbsnews.com

Top Domains in Tweet in G6:
[62] twitter.com
[43] nih.gov
[12] njctw.com
[9] myjournals.org
[6] hiclover.com
[5] biorxiv.org
[5] nature.com
[5] maghreb-post.de
[4] gotktk.com
[4] ne.jp

Top Domains in Tweet in G7:
[5] twitter.com
[2] archive.org
[1] radioradio.it
[1] quotidianpost.it
[1] documentcloud.org
[1] youtube.com

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

Top Domains in Tweet in G9:
[19] twitter.com
[4] nih.gov
[3] mdpi.com
[1] plos.org
[1] net.au
[1] andrewkaufmanmd.com
[1] pnas.org
[1] substack.com
[1] ourworldindata.org
[1] google.com

Top Domains in Tweet in G10:
[18] twitter.com
[1] microbe.tv
[1] asm.org
[1] thelancet.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[118] pfizer
[114] biontech
[30] sarscov2
[12] covid19
[9] longcovid
[9] coverpage
[8] covid
[7] hydroxychloroquine
[7] therats
[6] drfauci



Top Hashtags in Tweet in G1:
[2] xbb15
[1] letitrip
[1] sars2
[1] omicron
[1] sarscov2
[1] covidlong

Top Hashtags in Tweet in G2:
[1] psywar
[1] fifthgenwarfare
[1] laverità

Top Hashtags in Tweet in G3:
[5] longcovid
[3] sars
[2] airborneaids
[2] longsars
[1] airbornecll
[1] aiv
[1] sidu
[1] incurable
[1] coronavirus
[1] 静岡県コロナ

Top Hashtags in Tweet in G5:
[3] pfizer
[3] biontech
[1] covidselectcommittee
[1] biosafety

Top Hashtags in Tweet in G6:
[6] covid19
[2] sarscov2
[2] medpub
[2] meded
[2] vaccineinjured
[2] repentinitis
[2] covid
[2] methodsmatter
[2] pseudotyped
[2] hiv

Top Hashtags in Tweet in G7:
[3] pfizer
[3] biontech
[1] sarscov2

Top Hashtags in Tweet in G8:
[1] thealphawarriorshow

Top Hashtags in Tweet in G9:
[1] pfizer
[1] biontech
[1] suddendeath
[1] covid19lie

Top Hashtags in Tweet in G10:
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[3671] sars
[3500] cov
[3172] different
[1821] xbb
[1814] youarelobbylud
[1710] graphic
[1639] paper
[1614] very
[1572] shows
[1566] linked

Top Words in Tweet in G1:
[2962] different
[1687] youarelobbylud
[1608] graphic
[1558] xbb
[1483] shows
[1482] paper
[1481] worrying
[1481] linked
[1481] very
[140] both

Top Words in Tweet in G2:
[351] cov
[350] sars
[342] rwmalonemd
[336] virus
[336] deaths
[336] millions
[334] manipulation
[334] gain
[334] people
[334] evidence

Top Words in Tweet in G3:
[311] sars
[273] cov
[160] deer
[103] ejustin46
[86] different
[81] infect
[81] including
[80] voles
[80] dogs
[80] otters

Top Words in Tweet in G4:
[176] mijn
[176] ze
[175] allemaal
[175] gevaccineerde
[175] griep
[175] meer
[175] zijn
[175] dochter
[175] hebben
[175] longontstekingen

Top Words in Tweet in G5:
[152] sars
[139] cov
[47] washburnealex
[36] paper
[32] before
[31] viruses
[28] infected
[28] reservoirs
[28] two
[27] longest

Top Words in Tweet in G6:
[334] sars
[320] cov
[49] spike
[44] coronavirus
[38] against
[37] 19
[36] protein
[36] virus
[35] covid
[29] neutralizing

Top Words in Tweet in G7:
[125] nel
[111] ma
[110] giugno
[109] confermare
[109] certe
[109] dicevo
[109] mio
[109] salute
[109] precauzione
[109] lavoravo

Top Words in Tweet in G8:
[256] know
[129] more
[129] menthol
[128] chicken
[128] look
[128] burning
[128] farms
[128] cov
[128] ll
[128] sars

Top Words in Tweet in G9:
[70] cov
[69] sars
[13] grippe
[13] tomasoantonacci
[12] c'est
[12] fait
[12] samuelcollin2
[11] soit
[11] moreaugabarain
[11] fou

Top Words in Tweet in G10:
[60] banounhelene
[59] sars
[37] ce
[32] cette
[32] covid
[32] evali
[31] comme
[31] pourquoi
[31] ressemblait
[31] virus

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3278] sars,cov
[1561] linked,paper
[1561] paper,shows
[1561] different,xbb
[1560] xbb,worrying
[1560] shows,different
[1560] worrying,very
[1560] graphic,linked
[1560] very,graphic
[1559] youarelobbylud,different

Top Word Pairs in Tweet in G1:
[1481] xbb,worrying
[1481] very,graphic
[1481] shows,different
[1481] graphic,linked
[1481] linked,paper
[1481] different,xbb
[1481] worrying,very
[1481] paper,shows
[1480] youarelobbylud,different
[127] graphic,mine

Top Word Pairs in Tweet in G2:
[350] sars,cov
[335] deaths,millions
[335] cov,virus
[333] millions,people
[333] gain,function
[333] virus,manipulation
[333] caused,deaths
[333] people,vast
[333] function,sars
[333] amounts,evidence

Top Word Pairs in Tweet in G3:
[265] sars,cov
[80] including,dogs
[80] hosts,including
[80] infect,broad
[80] cov,infect
[80] ferrets,otters
[80] spectrum,hosts
[80] broad,spectrum
[80] dogs,mink
[80] deer,deer

Top Word Pairs in Tweet in G4:
[175] zorg,zijn
[175] zijn,allemaal
[175] dochter,zorg
[175] meer,longontstekingen
[175] griep,sars
[175] mijn,dochter
[175] sars,cov
[175] nu,griep
[175] allemaal,gevaccineerde
[175] ze,nu

Top Word Pairs in Tweet in G5:
[137] sars,cov
[27] longest,uncover
[27] uncover,acknowledging
[27] reservoirs,took
[27] two,viruses
[27] viruses,whose
[27] whose,reservoirs
[27] acknowledging,sars
[27] cherry,picking
[27] took,longest

Top Word Pairs in Tweet in G6:
[296] sars,cov
[37] cov,sars
[37] against,sars
[31] covid,19
[26] spike,protein
[22] mers,cov
[21] neutralizing,potency
[21] potency,against
[21] cov,vitro
[20] mutants,sars

Top Word Pairs in Tweet in G7:
[109] 2021,lavoravo
[109] certe,cose
[109] dicevo,confermare
[109] confermare,nel
[109] precauzione,certe
[109] salute,ma
[109] ministero,salute
[109] correva,giugno
[109] lavoravo,ministero
[109] cose,dicevo

Top Word Pairs in Tweet in G8:
[128] ll,know
[128] cov,ll
[128] chicken,farms
[128] burning,more
[128] sars,cov
[128] farms,burning
[128] know,chicken
[128] menthol,sars
[128] more,look
[128] look,menthol

Top Word Pairs in Tweet in G9:
[64] sars,cov
[11] samuelcollin2,c'est
[11] moreaugabarain,samuelcollin2
[11] c'est,fou
[11] cette,année
[11] violence,grippe
[11] tilte,fait
[11] fou,personne
[11] personne,tilte
[11] fait,violence

Top Word Pairs in Tweet in G10:
[31] ressemblait,tellement
[31] ce,refus
[31] maladie,evali
[31] anti,sars
[31] tellement,covid
[31] covid,pourquoi
[31] tester,anticorps
[31] anticorps,anti
[31] evali,ressemblait
[31] mystérieuse,maladie

Top Replied-To
Top Replied-To in Entire Graph:
@scottadamssays
@healthbyjames
@drdavidmoore11
@thilcampos
@goddeketal
@rwmalonemd
@ewoodhouse7
@kimdotcom
@michaelpsenger
@ullmannmdb

Top Replied-To in G1:
@youarelobbylud
@gordon910
@ampincivero
@pr_logos
@kashprime

Top Replied-To in G2:
@saintslimjim
@rwmalonemd
@tdeacero
@paco_aznar_
@giapetrock1949
@madforfree
@artbystiles
@rodman743
@thecuriousinve7

Top Replied-To in G3:
@elisaperego78
@_ppmv
@fitterhappieraj
@furnesscolin
@ykramerezha
@lek_nrw
@katikazeo
@dfocosi
@jawnquincyadams
@weavercarolyna

Top Replied-To in G5:
@jikkyleaks
@tradsperger
@dlakadarko
@martinasisters
@crwequine
@shanpalus
@repmtg
@turdfur58439807
@glopllu69
@parsifaler

Top Replied-To in G7:
@cozzettie
@open_gol
@erny110393
@astramezzi

Top Replied-To in G9:
@my2pups2
@auntiearnist
@tomasoantonacci
@planzip
@shingolag
@chydorina
@melissa_zegar
@stkirsch
@rohangilkes
@john68266346

Top Replied-To in G10:
@treponem
@nortonradd
@f_philippot
@chco32689983
@blodwyn_kh69_
@michelletouss32
@banounhelene
@drfranckclarot
@y67734748
@polaris19710

Top Mentioned
Top Mentioned in Entire Graph:
@youarelobbylud
@rwmalonemd
@tamlinscathach
@xalphawarriorx
@ejustin46
@astramezzi
@eh_den
@_tweetiez
@miguelnicolelis
@banounhelene

Top Mentioned in G1:
@youarelobbylud
@gosiagasperophd
@njbbari3
@tactnowinfo
@unbiasedscipod
@lisa_iannattone
@ejustin46
@007nowayout
@ampincivero
@melhathnofury

Top Mentioned in G2:
@rwmalonemd
@tdeacero
@satoshibtcqueen
@outkick
@tomilahren
@dave122051
@paco_aznar_
@benireiser
@madforfree
@goodannemashu

Top Mentioned in G3:
@ejustin46
@youarelobbylud
@fitterhappieraj
@jonathancrock
@meetjess
@siamosolocani
@_ppmv
@rolandbakeriii
@radcentrism
@hugonetx

Top Mentioned in G4:
@tamlinscathach

Top Mentioned in G5:
@washburnealex
@vbruttel
@ayjchan
@slate
@shanpalus
@youarelobbylud
@charlesrixey
@tradsperger
@greg21143362
@nickhudsonct

Top Mentioned in G6:
@sashanoble12
@siz_hala
@skrased85
@suckpoppit
@mazvitajames
@foolsmultiply
@tghwanzlik

Top Mentioned in G7:
@astramezzi
@chancegardi
@chancegardiner
@eh_den
@i_stef
@erny110393
@youtube
@humanitepaix
@open_gol

Top Mentioned in G8:
@xalphawarriorx

Top Mentioned in G9:
@samuelcollin2
@tomasoantonacci
@moreaugabarain
@stkirsch
@drcole12
@youarelobbylud
@neherbirgitta
@reverseyourmind
@remissionbiome
@h_sokol

Top Mentioned in G10:
@banounhelene
@ch60588741
@yvespdb
@f_philippot
@v_joron
@upr_asselineau
@treponem
@michelletouss32
@parisbynightand
@bobyewing9

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@tommybrain
@jurylady5
@roblwilson
@citrus_kyoto
@el_universal_mx
@sonialavera
@fusasippona
@altai_armande
@reuters

Top Tweeters in G1:
@jornalistavitor
@roblwilson
@citrus_kyoto
@silvrib
@blanketcrap
@mrtachilles
@cordwainerscat
@catherinemginn
@darylgibson
@njdoc

Top Tweeters in G2:
@collana_a
@patriotpromise2
@pedrosoprost
@1artniece2
@bakersonpeekay
@vinoteco2
@reneedahl5
@charlesbledford
@__sassafras_
@maitemvcb

Top Tweeters in G3:
@jurylady5
@wildwalkerwoman
@kingsmeadmrt
@fascinatorfun
@celticlas
@barbvee
@saverdemocrazy
@hopeluta_
@marcusfitzsimon
@me_for_earth

Top Tweeters in G4:
@nelliejs501
@defret42
@jjdemul
@boduoghnat
@florantine11
@gkraankra
@ernestmaas55
@john74244709
@ron_zcnh
@assissicourt

Top Tweeters in G5:
@bassaces1
@4823_tanaka
@metz_chance
@slate
@_24_com
@kraus_read
@lissnup
@chrislancashir3
@revoltin_morgan
@theatlantic

Top Tweeters in G6:
@lacronicadehoy
@tian_a1
@yasuharusaitoh
@amritabhinder
@noche_y_calima
@myjournals
@bulletin_ex
@mazvitajames
@osvalj0
@oneminpsychic

Top Tweeters in G7:
@tommybrain
@sonialavera
@a_meluzzi
@anto_galli4
@marcoranieri72
@soniabetz1
@maryspes
@marisavillani
@_fiorucci
@annamariacastel

Top Tweeters in G8:
@4est2j
@ams0035
@daisylovepoppy
@corinafs59gomez
@kelliej03005616
@judy_charl
@lunarstrong
@juliesnark
@sundancekid220
@deborahgall

Top Tweeters in G9:
@reuters
@business
@welt
@bild
@volkskrant
@peterba82304711
@lehmanndrc
@breezergalway
@clannad992
@pascaloudu01

Top Tweeters in G10:
@yvespdb
@plivestrong
@pmbavenir53
@chriss17031
@blodwyn_kh69_
@jallouxchristi1
@solarcx69
@reffuveilles
@lavande25
@bernadmonique