antivaxx, Twitter, 10/24/2020 7:57:58 PM, 238673


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antivaxx_2020-10-24_08-28-58.xlsx
antivaxx_2020-10-24_08-28-58.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 24, 2020
Short Description:
antivaxx via NodeXL https://bit.ly/31zNfmv
@joesilverman7
@llyander
@italopetraglia
@krebiozen
@smorkney
@doritmi
@paiple9483
@willoremus
@nathanpsmad
@dupinaurore2

Top hashtags:
#antivaxx
#antivax
#vaxxhappened
#covid19
#coronavirusfacts
#vaccines
#antimask

Description:
Description
The graph represents a network of 2,315 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 24 October 2020 at 15:30 UTC.

The requested start date was Saturday, 24 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 13-hour, 44-minute period from Saturday, 10 October 2020 at 02:37 UTC to Friday, 23 October 2020 at 16:22 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 2315
Unique Edges : 1427
Edges With Duplicates : 1851
Total Edges : 3278
Number of Edge Types : 5
Replies to : 414
Mentions : 677
Tweet : 490
MentionsInRetweet : 928
Retweet : 769
Self-Loops : 502
Reciprocated Vertex Pair Ratio : 0.00789058390320884
Reciprocated Edge Ratio : 0.0156576200417537
Connected Components : 631
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 163
Maximum Edges in a Connected Component : 325
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.55756
Graph Density : 0.000357668880007318
Modularity : 0.623749
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,315 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 24 October 2020 at 15:30 UTC.

The requested start date was Saturday, 24 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 13-hour, 44-minute period from Saturday, 10 October 2020 at 02:37 UTC to Friday, 23 October 2020 at 16:22 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : antivaxx
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:
[43] https://twitter.com/washingtonpost/status/1319004800445485060
[5] https://twitter.com/PaiPLe9483/status/1316805056545673216?s=19
[4] https://twitter.com/aensaari/status/1314764927958040577
[3] https://twitter.com/iwakamiyasumi/status/943541189680099328
[3] https://twitter.com/Rayleneamber/status/1319311064597553152
[3] https://globalnews.ca/news/7403386/chinook-centre-calgary-anti-maskers/amp/
[3] https://theconversation.com/covid-19-anti-vaxxers-use-the-same-arguments-from-135-years-ago-145592?utm_source=twitter&utm_medium=bylinetwitterbutton
[3] https://twitter.com/pauloganime/status/1317488898658979841
[3] https://17plus.weebly.com/
[2] https://www.youtube.com/watch?v=ZTblWlJzLOI&feature=youtu.be


Top URLs in Tweet in G1:
[3] https://twitter.com/aensaari/status/1314764927958040577
[2] https://www.reddit.com/comments/j9a2hj
[2] https://www.facebook.com/MantraMuz
[2] https://twitter.com/jairbolsonaro/status/1317244327228329985
[1] https://pagetwo.completecolorado.com/2020/10/08/greeley-nursing-home-residents-protest-pandemic-lockdown-id-rather-die-of-covid-than-loneliness/
[1] https://twitter.com/TheSonOfGodVEVO/status/1314887113700184065
[1] https://respectfulinsolence.com/2020/10/09/madej-covid-19-rna-vaccines-transhumanism/
[1] http://www.nataleo.com/blog2/2020/10/10/complacency-amp-conspiracy
[1] https://twitter.com/taffoofficial/status/1314912446344310785
[1] https://twitter.com/hausofhilton/status/1315322087335051264

Top URLs in Tweet in G2:
[43] https://twitter.com/washingtonpost/status/1319004800445485060

Top URLs in Tweet in G3:
[1] https://www.theguardian.com/technology/2019/nov/13/majority-antivaxx-vaccine-ads-facebook-funded-by-two-organizations-study

Top URLs in Tweet in G5:
[1] https://onezero.medium.com/how-facebook-is-preparing-for-a-biden-presidency-cddde8164f98?source=linkShare-b80d930d46e9-1602981920&_branch_match_id=link-846174381000522707

Top URLs in Tweet in G6:
[5] https://twitter.com/PaiPLe9483/status/1316805056545673216?s=19
[1] http://www.bonsens.info/
[1] https://www.lemonde.fr/les-decodeurs/article/2020/10/01/non-il-n-est-pas-prouve-que-le-vaccin-contre-la-grippe-augmenterait-le-risque-d-attraper-le-covid-19_6054421_4355770.html

Top URLs in Tweet in G9:
[3] https://globalnews.ca/news/7403386/chinook-centre-calgary-anti-maskers/amp/
[3] https://theconversation.com/covid-19-anti-vaxxers-use-the-same-arguments-from-135-years-ago-145592?utm_source=twitter&utm_medium=bylinetwitterbutton
[1] https://academic.oup.com/jlb/article/4/2/229/3871793
[1] https://twitter.com/drtarekarab/status/1319143657946157062
[1] https://theconversation.com/covid-19-anti-vaxxers-use-the-same-arguments-from-135-years-ago-145592

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[470] antivaxx
[127] antivax
[109] vaxxhappened
[61] covid19
[18] coronavirusfacts
[17] vaccines
[14] antimask
[12] hydroxycholoroquine
[11] vaccine
[10] socialmedia



Top Hashtags in Tweet in G1:
[58] antivaxx
[10] covid19
[7] antimask
[7] vaxxed
[6] antivax
[6] dosematters
[6] vaccinetrutt
[4] antivaxxer
[3] billgates
[3] vaccineswork

Top Hashtags in Tweet in G2:
[163] antivaxx

Top Hashtags in Tweet in G3:
[2] vaccine
[2] antivaxx
[2] vaccinesafetycouncil

Top Hashtags in Tweet in G6:
[3] bonsens

Top Hashtags in Tweet in G7:
[1] antivaxx

Top Hashtags in Tweet in G9:
[5] antivaxx
[4] covid19
[1] antimaxx
[1] misinformation
[1] infodemic
[1] community
[1] vaccine
[1] vaccinate
[1] history

Top Hashtags in Tweet in G10:
[2] antivaxx
[1] firstfreedomsinc
[1] kevinbarry
[1] pilfering
[1] ivanka
[1] bullshit

Top Words
Top Words in Tweet in Entire Graph:
[1085] antivaxx
[470] #antivaxx
[170] placebo
[169] away
[168] volunteer
[166] seeing
[165] headline
[165] nice
[163] passed
[162] joesilverman7

Top Words in Tweet in G1:
[213] antivaxx
[58] #antivaxx
[22] não
[17] eu
[16] anti
[15] people
[15] vaccine
[15] pra
[14] em
[14] vacina

Top Words in Tweet in G2:
[163] nice
[163] headline
[163] seeing
[163] volunteer
[163] passed
[163] away
[163] placebo
[163] #antivaxx
[162] joesilverman7

Top Words in Tweet in G3:
[4] throwback
[4] 2019
[4] orgs
[4] longer
[4] run
[4] ads
[4] one
[4] larry
[4] cook
[4] stop

Top Words in Tweet in G4:
[80] antivaxx
[79] eu
[78] vacinas
[78] em
[78] dia
[78] chamado
[78] assim
[78] nem
[78] italopetraglia
[77] literalmente

Top Words in Tweet in G5:
[67] antivaxx
[66] four
[66] years
[66] tolerating
[66] qanon
[66] ads
[66] holocaust
[66] denial
[66] acting
[66] slowly

Top Words in Tweet in G6:
[42] antivaxx
[28] caude
[27] alexandra
[27] généticienne
[26] paiple9483
[25] henrion
[25] potentiellement
[25] désapprouvé
[25] par
[25] inserm

Top Words in Tweet in G7:
[38] let's
[38] watch
[38] hoax
[38] really
[38] important
[38] one
[38] sabotages
[38] brilliant
[38] vaccine
[38] work

Top Words in Tweet in G8:
[77] não
[39] falar
[38] seria
[38] bom
[38] cês
[38] falarem
[38] besteira
[38] quando
[38] vão
[38] antivaxx

Top Words in Tweet in G9:
[17] ryanmarino
[15] antivaxx
[12] vaccines
[11] found
[11] obstetrician
[11] didn
[11] think
[11] existed
[11] anymore
[11] one

Top Words in Tweet in G10:
[16] antivaxx
[9] meningitis
[8] zealots
[8] vaccines
[6] thereal_truther
[5] delbigtree
[5] robertkennedyjr
[5] pro
[4] busydrt
[4] thereversethin1

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[163] nice,headline
[163] headline,seeing
[163] seeing,volunteer
[163] volunteer,passed
[163] passed,away
[163] away,placebo
[163] placebo,#antivaxx
[162] joesilverman7,nice
[118] #antivax,#antivaxx
[109] #vaxxhappened,#antivax

Top Word Pairs in Tweet in G1:
[6] #antimask,#antivaxx
[6] os,antivaxx
[6] things,contain
[6] contain,chemicals
[6] chemicals,chemicals
[6] chemicals,kill
[6] kill,high
[6] high,enough
[6] enough,quantities
[6] quantities,pure

Top Word Pairs in Tweet in G2:
[163] nice,headline
[163] headline,seeing
[163] seeing,volunteer
[163] volunteer,passed
[163] passed,away
[163] away,placebo
[163] placebo,#antivaxx
[162] joesilverman7,nice

Top Word Pairs in Tweet in G3:
[4] throwback,2019
[4] 2019,orgs
[4] orgs,longer
[4] longer,run
[4] run,ads
[4] ads,one
[4] one,larry
[4] larry,cook
[4] cook,stop
[4] stop,mandatory

Top Word Pairs in Tweet in G4:
[78] em,dia
[78] chamado,antivaxx
[77] eu,literalmente
[77] literalmente,tenho
[77] tenho,todas
[77] todas,vacinas
[77] vacinas,em
[77] dia,mas
[77] mas,vou
[77] vou,chamado

Top Word Pairs in Tweet in G5:
[66] four,years
[66] years,tolerating
[66] tolerating,qanon
[66] qanon,antivaxx
[66] antivaxx,ads
[66] ads,holocaust
[66] holocaust,denial
[66] denial,acting
[66] acting,slowly
[66] slowly,political

Top Word Pairs in Tweet in G6:
[27] caude,généticienne
[25] henrion,caude
[25] généticienne,potentiellement
[25] potentiellement,antivaxx
[25] antivaxx,désapprouvé
[25] désapprouvé,par
[24] alexandra,henrion
[24] par,l'
[24] l',inserm
[22] paiple9483,alexandra

Top Word Pairs in Tweet in G7:
[38] let's,watch
[38] watch,hoax
[38] hoax,really
[38] really,important
[38] important,one
[38] one,sabotages
[38] sabotages,brilliant
[38] brilliant,vaccine
[38] vaccine,work
[38] work,being

Top Word Pairs in Tweet in G8:
[38] seria,bom
[38] bom,cês
[38] cês,não
[38] não,falarem
[38] falarem,besteira
[38] besteira,quando
[38] quando,vão
[38] vão,falar
[38] falar,antivaxx
[38] antivaxx,vacina

Top Word Pairs in Tweet in G9:
[11] found,antivaxx
[11] antivaxx,obstetrician
[11] obstetrician,didn
[11] didn,think
[11] think,existed
[11] existed,anymore
[11] anymore,one
[11] one,horror
[11] horror,vaccines
[11] vaccines,safer

Top Word Pairs in Tweet in G10:
[7] antivaxx,zealots
[5] thereal_truther,delbigtree
[5] delbigtree,robertkennedyjr
[4] thereversethin1,thereal_truther
[4] pro,meningitis
[2] candyace,busydrt
[2] please,don
[2] sad,antivaxx
[2] risk,harm
[2] vaccines,baked

Top Replied-To
Top Replied-To in Entire Graph:
@thereversethin1
@sadpinksu
@allkpopbuzz
@oatila
@wargonm
@dbelardomd
@maxigan
@bensenverina
@kurtbut69579698
@chaoticbrain

Top Replied-To in G3:
@natedoromal
@russellrochelle
@green_cait

Top Replied-To in G4:
@italopetraglia

Top Replied-To in G5:
@fmanjoo

Top Replied-To in G6:
@wargonm
@gf_images
@unmonderiant
@napalm_oral
@lonnibesancon

Top Replied-To in G9:
@sciencepharmer
@drtarekarab
@jsteinbachsnd
@ryanmarino

Top Replied-To in G10:
@thereversethin1
@bensenverina
@paulaveronicac
@callthecorners
@n8tvch1k
@100dianne
@wattsupyarnco
@anthonyverwey
@ivankatrump

Top Mentioned
Top Mentioned in Entire Graph:
@joesilverman7
@italopetraglia
@willoremus
@thais_saura
@thejeremyvine
@michalpur
@paiple9483
@eruilluviel
@inserm

Top Mentioned in G1:
@cookiebrookiee
@williamtheb

Top Mentioned in G2:
@joesilverman7

Top Mentioned in G3:
@noupside
@mcfunny
@tinfoilawards
@immunotoxphd
@kfunk937
@doritmi
@bglthmnd
@chrisjohnsonmd
@thefrankmanmn
@monstercoyliar

Top Mentioned in G4:
@italopetraglia

Top Mentioned in G5:
@willoremus

Top Mentioned in G6:
@paiple9483
@inserm
@procto_log
@raoult_didier
@unmonderiant
@wargonm
@silvano_trotta
@lci
@dariusrochebin
@matthieugariel

Top Mentioned in G7:
@thejeremyvine
@uniofoxford

Top Mentioned in G8:
@thais_saura

Top Mentioned in G9:
@ryanmarino
@caulfieldtim
@jonathanstea
@ruthannharpur
@drlindamd
@docmcohen
@thesciencevort1
@sciencepharmer
@paulalars
@conversationca

Top Mentioned in G10:
@thereal_truther
@delbigtree
@robertkennedyjr
@busydrt
@candyace
@ritamollerpalma
@thefinalsteve76
@therealbeks
@nj5thleg
@doritmi

Top Tweeters
Top Tweeters in Entire Graph:
@odio_nao
@cloudwanderer3
@schestowitz
@teamyoutube
@thehill
@ancalerts
@wildwillow65
@cardoso
@joec1776
@guardian

Top Tweeters in G1:
@schestowitz
@pvppycat
@redyuuta
@lovingshante
@east_of_hell
@syawal
@salutnico
@michellebarouki
@ly_carr
@percycatdolls

Top Tweeters in G2:
@joec1776
@schwingcat
@gormogons
@vlovesanimals
@duxgirl27
@corrcomm
@tgbed8v8
@seawordg
@jsutt20
@indyrallen

Top Tweeters in G3:
@doritmi
@_mamadeb
@beckyjohnson222
@lalaruefrench75
@danaelizabeth69
@monstercoyliar
@frankdelia7
@rosewind2007
@awithonelison
@kidoctr

Top Tweeters in G4:
@dcsbeledaniele
@gabrielmg_teo77
@_yuriamon
@aquelecara
@danimaiuri
@ghsaueressig
@henrique_ws_
@cfuzila
@robertomelo88
@crf_igor10

Top Tweeters in G5:
@cloudwanderer3
@sallyagale
@nberlat
@holliejoyjoy
@thedalyplanet
@chadstanton
@srubenfeld
@buckygrrl
@carloseats
@tsykes8888

Top Tweeters in G6:
@lafeevivianeb
@papeekaboo
@b93573037
@mhserve
@ncmichel
@le___doc
@france_soir
@monkeyofparis
@a_1_0_2
@lci

Top Tweeters in G7:
@alexbcann
@christinecarr
@thejeremyvine
@anniehlfc
@cbrenchley
@draseemmalhotra
@cinemadan
@dr_ellie
@spursmandan
@mikeycycling

Top Tweeters in G8:
@tric0s
@lostinemergency
@blckboxwarrior
@asexual_anger
@unifelizpe
@aquelalara
@livrelfo
@hands_witheyes
@thais_saura
@fabii_any

Top Tweeters in G9:
@globalnews
@melanielybarger
@margymaclibrary
@thesciencevort1
@ryanmarino
@caulfieldtim
@hankgreelylsju
@sheilawalker73
@juliatint
@medeaculpa

Top Tweeters in G10:
@yashar
@thereal_truther
@mikedelmoro
@alastairmca30
@garethcliff
@cliffcentralcom
@mynameisjerm
@provaxtexan
@smorkney
@candyace