measles, Twitter, 2/18/2023 11:12:21 PM, 289790


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measles_2023-02-18_15-02-25.xlsx
measles_2023-02-18_15-02-25.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 18, 2023
Short Description:
measles via NodeXL https://bit.ly/3xF5JBr
@docahmadmalik
@ptcjoneses
@iancopeland5
@jdcburnhil
@real_seeking
@sirmasksalot
@judithcollinsmp
@nicd_sa
@tewhatuora
@teeelltweets

Top hashtags:
#measles
#跑分
#赚快钱
#mmr
#vaccine
#measlesoutbreak
#asibehealthygp
#covid19

Description:
Description
The graph represents a network of 6,111 Twitter users whose recent tweets contained "measles", 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 23:06 UTC.

The tweets in the network were tweeted over the 3427-day, 23-hour, 57-minute period from Monday, 30 September 2013 at 01:02 UTC to Saturday, 18 February 2023 at 01:00 UTC.

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

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 6111
Unique Edges : 3471
Edges With Duplicates : 11348
Total Edges : 14819
Number of Edge Types : 9
Mentions : 414
Replies to : 1910
MentionsInReplyTo : 4975
Tweet : 760
Retweet : 3005
MentionsInRetweet : 3574
Quote : 110
MentionsInQuoteReply : 29
MentionsInQuote : 42
Self-Loops : 1106
Reciprocated Vertex Pair Ratio : 0.0539076256264391
Reciprocated Edge Ratio : 0.102300475517286
Connected Components : 861
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 3269
Maximum Edges in a Connected Component : 9224
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.513281
Graph Density : 0.000208392421597072
Modularity : 0.507881
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,111 Twitter users whose recent tweets contained "measles", 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 23:06 UTC.

The tweets in the network were tweeted over the 3427-day, 23-hour, 57-minute period from Monday, 30 September 2013 at 01:02 UTC to Saturday, 18 February 2023 at 01:00 UTC.

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

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : measles
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:
[47] https://twitter.com/mimiaga36/status/1602570203111440384/video/1
[24] https://bhekisisa.org/health-news-south-africa/2023-02-10-parents-here-are-8-measles-outbreak-questions-answered/
[21] https://twitter.com/RealJermWarfare/status/1626210527805317121/photo/1
[13] https://www.selondonics.org/parents-are-urged-to-protect-their-children-from-measles-mumps-and-rubella/
[13] https://t.me/planetblx
[10] https://twitter.com/Wejolyn/status/1626594408832581634/photo/1
[9] https://t.me/HeptagonGlobal
[9] https://twitter.com/MsAmyLewis/status/1626482409624711170/photo/1
[7] https://www.nzherald.co.nz/nz/measles-case-confirmed-in-auckland-possible-exposure-event-includes-massive-festival/GLZHB3ZYWVBORJ5Z23KCZQKO2E/
[7] https://idsc.tmiph.metro.tokyo.lg.jp/diseases/measles/measles/

Top URLs in Tweet in G1:
[1] https://www.pbs.org/gunsgermssteel/variables/smallpox.html
[1] https://www.unicef.org/turkiye/en/node/2531
[1] https://twitter.com/juneslater17/status/1626505025324195841
[1] https://www.latimes.com/entertainment-arts/music/story/2021-08-25/sting-fall-preview-my-songs-las-vegas
[1] https://www.gov.uk/government/publications/measles-deaths-by-age-group-from-1980-to-2013-ons-data/measles-notifications-and-deaths-in-england-and-wales-1940-to-2013
[1] https://twitter.com/EdwardArthur5/status/1625460462098780162/photo/1

Top URLs in Tweet in G2:
[47] https://twitter.com/mimiaga36/status/1602570203111440384/video/1
[4] https://twitter.com/TeddyFreddy11/status/1129096306100559872/photo/1
[4] https://twitter.com/MOHASOBHY/status/998278938760830977/photo/1
[3] https://bhekisisa.org/health-news-south-africa/2023-02-10-parents-here-are-8-measles-outbreak-questions-answered/
[3] https://twitter.com/ProCareHealthNZ/status/1625967501849886746/photo/1
[2] https://t.me/planetblx
[2] https://www.nhs.uk/conditions/vaccinations/mmr-vaccine/
[2] https://twitter.com/texasartmama2/status/1626742628640325633/photo/1
[2] https://newsnote.co.za/?p=10449
[2] https://www.medscape.com/viewarticle/984676

Top URLs in Tweet in G3:
[5] https://www.1news.co.nz/2023/02/16/bus-passengers-possibly-exposed-to-measles-urged-to-call-healthline/
[5] https://twitter.com/1NewsNZ/status/1626002932712853506/photo/1
[4] https://www.health.govt.nz/news-media/news-items/imported-measles-case-confirmed-new-zealand
[3] https://twitter.com/GaryPayinda/status/1625044421673902082
[3] https://www.health.govt.nz/news-media/news-items/potential-measles-contacts-urged-call-healthline
[3] https://www.healthpoint.co.nz/
[3] https://www.health.govt.nz/your-health/conditions-and-treatments/diseases-and-illnesses/measles/measles-exposure-events
[2] https://www.nzherald.co.nz/nz/measles-case-confirmed-in-auckland-possible-exposure-event-includes-massive-festival/GLZHB3ZYWVBORJ5Z23KCZQKO2E/
[2] https://twitter.com/TeWhatuOra/status/1625684916867567616
[2] https://nejm.org:443/doi/10.1056/NEJM198703263161303

Top URLs in Tweet in G4:
[4] https://twitter.com/Philippa_Perry/status/1626725454571872257/photo/1
[4] https://twitter.com/cK_Kirkland/status/1626307420170452993/photo/1
[2] https://twitter.com/VfPhillips/status/1626155508913565697/photo/1
[2] https://twitter.com/thismorning/status/1623743877956993025/video/1
[1] https://twitter.com/Alan_Measles/status/1625895181344972801/photo/1
[1] https://twitter.com/Alan_Measles/status/1623602893369614337/photo/1
[1] https://twitter.com/feralghoul1/status/1625902905113866240/photo/1
[1] https://twitter.com/MartinC_Lincoln/status/1625614463830306821/photo/1
[1] https://twitter.com/nickydeacy/status/1625568486587043845/photo/1
[1] https://twitter.com/i/web/status/1625950229043286037

Top URLs in Tweet in G5:
[3] https://twitter.com/darnitcomics/status/1626660617397338113/photo/1
[2] https://twitter.com/RepThomasMassie/status/1626589267769311236/photo/1
[2] https://arkmedic.substack.com/p/the-killing-fields-of-samoa
[1] http://www.vaccines.gov/?linkId=201465738
[1] https://twitter.com/pfizer/status/1625522404213551104/video/1
[1] https://www.healthdirect.gov.au/measles
[1] https://twitter.com/SynthIge/status/1626337690768789505?s=20
[1] https://zenodo.org/record/1041905
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205533/pdf/rsif.2021.0153.pdf
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41598-023-27698-x

Top URLs in Tweet in G6:
[4] https://twitter.com/WolfmannotJack/status/1626720438012215296/photo/1
[1] https://twitter.com/jbakcoleman/status/1625456246420561920
[1] https://www.respectfulinsolence.com/2023/02/13/covid-19-is-now-a-leading-killer-of-children/
[1] https://news.sky.com/story/past-covid-infection-as-good-as-vaccines-at-preventing-severe-illness-12812415
[1] https://twitter.com/TRyanGregory/status/1626573843371360264
[1] https://www.nzherald.co.nz/nz/measles-case-confirmed-in-auckland-possible-exposure-event-includes-massive-festival/GLZHB3ZYWVBORJ5Z23KCZQKO2E/
[1] https://twitter.com/TRyanGregory/status/1626564578824912896/photo/1
[1] https://www.salon.com/2022/01/27/omicron-variant-of-may-be-the-most-contagious-to-ever-exist-scientists-say/
[1] https://www.cidrap.umn.edu/measles/measles-does-long-term-damage-immune-system-studies-show
[1] https://twitter.com/outbreakupdates/status/1625307299072946176

Top URLs in Tweet in G7:
[4] https://twitter.com/PhilipRafferty5/status/1625422673181577216/photo/1
[4] https://twitter.com/PhilipRafferty5/status/1625419308049502209/photo/1
[1] https://cpp-hov.netlify.app/getting-vaccinated/vaccine-faq/top-20-questions-about-vaccination/
[1] https://twitter.com/DrEliDavid/status/1626719092903415808/photo/1
[1] https://twitter.com/DrEliDavid/status/1625552312260300801/photo/1
[1] https://twitter.com/goddeketal/status/1626311703901138944/video/1
[1] https://twitter.com/OK_AC/status/1626336013080485888/photo/1
[1] https://ourworldindata.org/grapher/united-states-rates-of-covid-19-deaths-by-vaccination-status
[1] https://twitter.com/LouforFreedomL1/status/1602446952272125953/photo/1
[1] https://twitter.com/i/web/status/1626576618645860352

Top URLs in Tweet in G8:
[7] https://twitter.com/an_leavy/status/1626463872424239104/photo/1
[5] https://twitter.com/NSWHealth/status/1626470367060717568
[3] https://www.health.nsw.gov.au/Infectious/factsheets/Pages/Measles_Factsheet.aspx
[3] https://twitter.com/nswhealth/status/1626470367060717568
[2] https://health.act.gov.au/public-health-alert/public-health-alert-measles-case-notified-canberra
[1] https://twitter.com/NSWHealth/status/1626470367060717568/photo/1
[1] https://twitter.com/ACTHealth/status/1626462967230517249/photo/1
[1] https://www.health.act.gov.au/sites/default/files/2018-09/Measles.pdf
[1] https://www.7news.com.au/
[1] https://twitter.com/7NewsSydney/status/1626486484885999616/video/1

Top URLs in Tweet in G10:
[4] https://twitter.com/marcdaalder/status/1625031296694255616/photo/1
[2] https://twitter.com/Tuituituitui11/status/1625405209374752768/photo/1
[2] https://twitter.com/Tuituituitui11/status/1496282807051571201?t=JquDJu11M2rU6OQJobRB4g&s=19
[1] https://www.samoaobserver.ws/category/samoa/102064
[1] https://www.samoaobserver.ws/category/samoa/102048
[1] https://www.nzherald.co.nz/nz/measles-case-confirmed-in-auckland-possible-exposure-event-includes-massive-festival/GLZHB3ZYWVBORJ5Z23KCZQKO2E/
[1] https://twitter.com/nzherald/status/1625034932979392514
[1] https://twitter.com/hugh_mankind/status/1625259341656870915/video/1
[1] https://twitter.com/marcdaalder/status/1625031296694255616
[1] https://twitter.com/samoaobserver/status/1625857797262024709

Top Domains
Top Domains in Tweet in Entire Graph:
[912] twitter.com
[40] co.za
[39] co.nz
[25] t.me
[24] bhekisisa.org
[16] govt.nz
[15] nih.gov
[14] selondonics.org
[14] com.au
[11] theguardian.com

Top Domains in Tweet in G1:
[2] twitter.com
[1] pbs.org
[1] unicef.org
[1] latimes.com
[1] gov.uk

Top Domains in Tweet in G2:
[141] twitter.com
[11] co.za
[11] co.nz
[7] theguardian.com
[5] nih.gov
[4] medscape.com
[3] t.me
[3] bhekisisa.org
[3] co.uk
[3] medicalxpress.com

Top Domains in Tweet in G3:
[33] twitter.com
[16] co.nz
[14] govt.nz
[2] nejm.org
[2] chop.edu
[2] org.nz
[2] waateanews.com
[1] sky.com

Top Domains in Tweet in G4:
[32] twitter.com
[2] co.uk
[1] wikipedia.org

Top Domains in Tweet in G5:
[30] twitter.com
[3] cdc.gov
[3] substack.com
[2] nih.gov
[2] ourworldindata.org
[2] viroliegy.com
[2] odysee.com
[1] vaccines.gov
[1] gov.au
[1] zenodo.org

Top Domains in Tweet in G6:
[9] twitter.com
[2] co.nz
[1] respectfulinsolence.com
[1] sky.com
[1] salon.com
[1] umn.edu

Top Domains in Tweet in G7:
[20] twitter.com
[1] netlify.app
[1] ourworldindata.org
[1] medium.com
[1] cdc.gov
[1] cnn.com

Top Domains in Tweet in G8:
[20] twitter.com
[6] gov.au
[1] com.au

Top Domains in Tweet in G10:
[20] twitter.com
[6] co.nz
[2] samoaobserver.ws
[1] org.nz
[1] govt.nz
[1] theguardian.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[236] measles
[47] 跑分
[47] 赚快钱
[27] mmr
[27] vaccine
[19] measlesoutbreak
[18] asibehealthygp
[16] covid19
[15] defi
[15] blx



Top Hashtags in Tweet in G2:
[47] 跑分
[47] 赚快钱
[24] measles
[6] vaccine
[5] health
[4] medtwitter
[4] rubella
[4] vaccination
[3] who
[3] indore

Top Hashtags in Tweet in G3:
[86] measles
[3] vaccine
[2] nz
[2] news
[2] paakiwaha
[1] mumps
[1] rubella
[1] covid19
[1] vaccination
[1] drbrianbetty

Top Hashtags in Tweet in G4:
[2] graysonperry
[2] graysonsartclub
[2] thismorning
[1] nationalcomedyawards
[1] comedygamechanger
[1] englishness
[1] chanel4
[1] england
[1] comedyawards
[1] defaultman

Top Hashtags in Tweet in G5:
[2] samoa
[1] covid19
[1] cookers
[1] dumbangryfools
[1] xrayed
[1] tb
[1] pfizerliedmillionsdied

Top Hashtags in Tweet in G6:
[11] measles
[1] longcovid
[1] bloodclots
[1] dementia
[1] diabetes
[1] braindamage
[1] measlesoutbreakupdate

Top Hashtags in Tweet in G7:
[1] vaccineswork

Top Hashtags in Tweet in G8:
[6] measles
[1] maskup
[1] n95
[1] covid
[1] covidisairborne
[1] 7news

Top Hashtags in Tweet in G10:
[7] breaking
[4] measles
[1] moh
[1] immunise
[1] fuckchristiannationalism
[1] seanpenn
[1] exposureevents
[1] newzealand
[1] vaccineswork

Top Words
Top Words in Tweet in Entire Graph:
[3260] measles
[1781] vaccines
[1664] polio
[1461] those
[1415] immunity
[1361] infection
[1257] docahmadmalik
[1253] required
[1245] prior
[1243] example

Top Words in Tweet in G1:
[1242] docahmadmalik
[1222] immunity
[1219] polio
[1218] vaccines
[1217] prior
[1217] infection
[1216] required
[1215] historically
[1215] those
[1215] thus

Top Words in Tweet in G2:
[334] measles
[47] #跑分
[47] #赚快钱
[45] vaccine
[44] children
[40] health
[33] covid
[31] vaccination
[26] more
[26] vaccines

Top Words in Tweet in G3:
[201] measles
[86] #measles
[80] vaccines
[75] tewhatuora
[70] mmr
[54] person
[53] over
[53] child
[51] brink
[51] months

Top Words in Tweet in G4:
[191] alan_measles
[27] philippa_perry
[24] love
[23] grayson
[14] art
[14] really
[13] people
[13] janesunflower
[13] artistsmakers
[13] aja02537920

Top Words in Tweet in G5:
[119] measles
[44] vaccine
[38] antibodies
[35] virus
[33] drloupis
[33] iancopeland5
[28] vaccines
[28] covid
[26] people
[26] polio

Top Words in Tweet in G6:
[179] measles
[119] covid
[87] children
[83] way
[81] 19
[80] more
[80] youarelobbylud
[80] before
[79] vaccine
[77] another

Top Words in Tweet in G7:
[46] measles
[37] vaccine
[24] vaccines
[23] scary7dr
[22] pouldeau61
[22] covid
[21] drelidavid
[21] mcfunny
[20] jimeeliberty
[20] skepticalmutant

Top Words in Tweet in G8:
[104] measles
[84] health
[72] nswhealth
[61] those
[59] nsw
[55] two
[55] sydney
[54] airports
[53] flights
[51] domestic

Top Words in Tweet in G9:
[111] feeling
[111] history
[111] measles
[111] jfruh
[111] whole
[111] thing
[111] sense
[111] smokin
[111] problems
[111] getting

Top Words in Tweet in G10:
[125] measles
[47] kids
[39] one
[38] garypayinda
[34] omicron
[34] person
[33] unprotected
[33] average
[33] mess
[33] 16

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1227] prior,infection
[1227] those,prior
[1226] immunity,agent
[1226] required,those
[1226] historically,vaccines
[1226] example,polio
[1226] vaccines,required
[1226] agent,example
[1226] thus,immunity
[1226] infection,thus

Top Word Pairs in Tweet in G1:
[1215] infection,thus
[1215] vaccines,required
[1215] historically,vaccines
[1215] agent,example
[1215] prior,infection
[1215] required,those
[1215] those,prior
[1215] immunity,agent
[1215] thus,immunity
[1215] example,polio

Top Word Pairs in Tweet in G2:
[47] measles,#跑分
[47] #跑分,#赚快钱
[20] lt,lt
[18] covid,19
[17] gt,gt
[14] measles,mumps
[14] measles,case
[13] against,measles
[11] immunisation,campaign
[11] mumps,rubella

Top Word Pairs in Tweet in G3:
[51] measles,vaccines
[50] asap,brink
[50] over,15
[50] child,over
[50] vaccines,caught
[50] 15,months
[50] months,hasn
[50] caught,asap
[50] hasn,measles
[49] vincristine,child

Top Word Pairs in Tweet in G4:
[19] alan_measles,philippa_perry
[12] artistsmakers,alan_measles
[12] janesunflower,artistsmakers
[12] aja02537920,alan_measles
[12] lottiehistory,aja02537920
[11] alan_measles,junctionartsuk
[10] full,english
[9] alan_measles,love
[8] edfordham,janesunflower
[7] alan_measles,look

Top Word Pairs in Tweet in G5:
[14] measles,virus
[14] genemapper24,drjbhattacharya
[12] iancopeland5,chayalevy8
[12] chayalevy8,rohangilkes
[11] usually,makes
[11] antibodies,antibodies
[11] body,usually
[11] protect,against
[11] makes,protect
[11] pathogens,antibodies

Top Word Pairs in Tweet in G6:
[81] covid,19
[79] children,measles
[77] before,vaccine
[76] deadly,children
[75] way,best
[75] another,way
[75] best,covid
[75] 19,roughly
[75] roughly,deadly
[75] put,another

Top Word Pairs in Tweet in G7:
[11] mcfunny,scary7dr
[10] lummhandy,jonathanhannah
[9] monyro5,scary7dr
[9] johannaszabo1,nicky111lady
[9] maureenstroud,richykirsh
[9] jarbot15,barryjohnreid21
[9] i_am_joli_anne,angryfleas
[9] angryfleas,jarbot15
[8] jtmayes3,richykirsh
[8] paramaniac9,goz421

Top Word Pairs in Tweet in G8:
[53] nsw,health
[50] international,domestic
[49] health,urging
[49] sydney,international
[49] passengers,two
[49] spent,time
[49] flights,those
[49] time,sydney
[49] those,spent
[49] urging,passengers

Top Word Pairs in Tweet in G9:
[111] thing,getting
[111] measles,smokin
[111] solved,measles
[111] getting,old
[111] feeling,panic
[111] sense,history
[111] whole,thing
[111] jfruh,whole
[111] problems,solved
[111] old,sense

Top Word Pairs in Tweet in G10:
[33] measles,spreads
[33] person,infecting
[33] infecting,16
[33] kids,woefully
[33] omicron,one
[33] one,person
[33] mess,measles
[33] 16,average
[33] average,kids
[33] woefully,unprotected

Top Replied-To
Top Replied-To in Entire Graph:
@alan_measles
@wakeup89427666
@lottiehistory
@docahmadmalik
@optionblitz_co
@alexgaggio
@fergal_whatever
@drloupis
@judithcollinsmp
@jayduby32353810

Top Replied-To in G1:
@docahmadmalik
@djsquiredesigns
@simonst51662750
@thatsnotmine125
@lisa2oz
@popzoo1oo
@loloos14
@splatteammom
@gillianmckeith
@noturaveragern

Top Replied-To in G3:
@dimsie
@swintersections
@tewhatuora
@kiwi_kali
@doctor_i_am_the
@nzstuff
@n_zdeb
@p90700891p
@mrsmacnz
@cherrypiejay

Top Replied-To in G4:
@alan_measles
@lottiehistory
@edfordham
@kirktaylordream
@paulheatonsolo
@vfphillips
@mac_birmingham
@ck_kirkland
@dianne1963
@abridgen

Top Replied-To in G5:
@drloupis
@darnitcomics
@dailyblend2
@raymund_hofmann
@mireyaj0530
@debunk_the_funk
@synthige
@mjtimber2
@be_as_jael
@repthomasmassie

Top Replied-To in G6:
@alexgaggio
@fergal_whatever
@tryangregory
@youarelobbylud
@elhopkins
@jessevflex
@kprather88
@ikostenas
@ampincivero
@davidjoffe64

Top Replied-To in G7:
@drelidavid
@skepticalmutant
@jimeeliberty
@macdamasta
@politicomedico
@mpc_xetts
@lefty_old
@philiprafferty5
@not_voltaire
@_swollenpickle_

Top Replied-To in G8:
@nswhealth
@annatime94
@blankisnotauser
@acthealth
@anthonysmaroon
@spiderchick66
@tristanveness
@an_leavy
@adzz75

Top Replied-To in G10:
@judithcollinsmp
@flowirin
@shoe_jimmy1
@garypayinda
@thoughtsofchao2
@girlsreallyrule
@_miiitia_
@nzherald
@julie_nzkiwi
@nz_erewego

Top Mentioned
Top Mentioned in Entire Graph:
@docahmadmalik
@jfruh
@alan_measles
@youarelobbylud
@wyonaf
@tewhatuora
@nswhealth
@vincristine
@ballouxfrancois
@garypayinda

Top Mentioned in G1:
@docahmadmalik
@djsquiredesigns
@splatteammom
@tenebra99

Top Mentioned in G2:
@frashaidr
@teddyfreddy11

Top Mentioned in G3:
@tewhatuora
@vincristine
@minhealthnz
@eeerinrn
@aklpublichealth
@dimsie
@hapaitehauora
@bioinfotools
@upthenua
@nzgizmoguy

Top Mentioned in G4:
@alan_measles
@philippa_perry
@artistsmakers
@janesunflower
@aja02537920
@junctionartsuk
@swanfilmstv
@mac_birmingham
@inybb_
@paulheatonsolo

Top Mentioned in G5:
@iancopeland5
@drloupis
@stkirsch
@rohangilkes
@synthige
@drjbhattacharya
@mandymettle
@chayalevy8
@jikkyleaks
@genemapper24

Top Mentioned in G6:
@youarelobbylud
@fitterhappieraj
@jbakcoleman
@outbreakupdates
@denise_dewald
@kprather88
@zatara2010
@elhopkins
@tryangregory
@dj1au

Top Mentioned in G7:
@scary7dr
@pouldeau61
@mcfunny
@consequentialbr
@pawley_robert
@tonybaduy
@jkelleyk
@jimeeliberty
@doritmi
@monstercoyliar

Top Mentioned in G8:
@nswhealth
@acthealth
@an_leavy
@nswhpathology
@7newssydney
@anthonysmaroon
@realtruthsage
@mixtupmixy
@youarelobbylud
@sydneyairport

Top Mentioned in G9:
@jfruh

Top Mentioned in G10:
@garypayinda
@judithcollinsmp
@marcdaalder
@nzherald
@petousish
@girlsreallyrule
@tuituituitui11
@soonleenz
@shoe_jimmy1
@stuffauckland

Top Tweeters
Top Tweeters in Entire Graph:
@jurylady5
@rk70534
@_redfrog
@lizditz
@httweets
@lyndae222
@porridgeisgood
@ansisegle
@life_sciences_
@chantelldawnsny

Top Tweeters in G1:
@lyndae222
@ailsaforshaw
@mgt_coull26
@pppatticake
@johndmtb
@zenjk0
@shoshido
@bobilly10
@blueyes9445
@rolo_tamasi

Top Tweeters in G2:
@mediaindonesia
@mohasobhy
@fehowarth
@ghettoradio895
@shehzadyounis
@miragenewscom
@nshrubs
@renissance_1
@cbs21news
@jakpost

Top Tweeters in G3:
@paulwiggins
@nzstuff
@basuashis
@zaichishka
@styla73
@krveale
@growfromherenz
@dimsie
@sopheerose
@1newsnz

Top Tweeters in G4:
@naomilwood
@okeating
@artistsmakers
@domsdads
@herring1967
@official_mrlp
@philippa_perry
@kurteichenwald
@martinslewis
@rhonddabryant

Top Tweeters in G5:
@foxnews
@nancyvictoria
@deniseparringt4
@dhiggins63
@sjs856
@google
@sparklingwolf
@newsmax
@angelsavant
@naomirwolf

Top Tweeters in G6:
@darylgibson
@ghostcatbce
@dropoutnation
@tttezzz
@joejaggi
@simon_a_wood
@mactavish
@johnsalmond
@littlebirdsteph
@baylessmarilyn

Top Tweeters in G7:
@lizditz
@doritmi
@zaleskiluke
@monstercoyliar
@takethatct
@mcfunny
@angryfleas
@incitatusalpha
@wendyorent
@pawley_robert

Top Tweeters in G8:
@1feralkat
@mariecolemanao
@stilgherrian
@snugbucket
@lizdolphinfluff
@richardtuffin
@kcome
@leftboomer
@lynmaree56
@7newssydney

Top Tweeters in G9:
@geostompx
@jwomack
@caseyhinds
@heartamity
@joqatana
@ghostdrive
@serendipityx6
@tungwene
@nezumi_youjo
@destroyed4com4t

Top Tweeters in G10:
@morgfair
@rleas
@alwaysthinkhow
@miraclesart
@barack_mcbush
@timoudou
@schachin
@meddeviceeng
@foxgrrl
@king_sandirella


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