antivaxx, Twitter, 2/4/2023 4:11:50 PM, 288520


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antivaxx_2023-02-04_08-00-01.xlsx
antivaxx_2023-02-04_08-00-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 04, 2023
Short Description:
antivaxx via NodeXL https://bit.ly/40uM0BH
@alastairmca30
@chazmatter1984
@retsefl
@olivierveran
@project_veritas
@hansel21_
@zacharylevi
@hausofpettymnn
@nicolenncc
@pfizer

Top hashtags:
#antivaxx
#mrna
#antivax
#covid19
#unvaccinated
#covid
#trump
#vaccine
#pfizer

Description:
Description
The graph represents a network of 7,266 Twitter users whose recent tweets contained "antivaxx", 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 16:03 UTC.

The tweets in the network were tweeted over the 1131-day, 23-hour, 27-minute period from Monday, 30 December 2019 at 01:23 UTC to Saturday, 04 February 2023 at 00:51 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 : 7266
Unique Edges : 5228
Edges With Duplicates : 13030
Total Edges : 18258
Number of Edge Types : 9
Retweet : 2366
MentionsInRetweet : 2786
Replies to : 3197
MentionsInReplyTo : 8334
Tweet : 954
Quote : 300
MentionsInQuoteReply : 119
Mentions : 166
MentionsInQuote : 36
Self-Loops : 1297
Reciprocated Vertex Pair Ratio : 0.0658898305084746
Reciprocated Edge Ratio : 0.123633472470682
Connected Components : 1079
Single-Vertex Connected Components : 231
Maximum Vertices in a Connected Component : 3021
Maximum Edges in a Connected Component : 9910
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.150148
Graph Density : 0.000190613344184389
Modularity : 0.525392
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,266 Twitter users whose recent tweets contained "antivaxx", 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 16:03 UTC.

The tweets in the network were tweeted over the 1131-day, 23-hour, 27-minute period from Monday, 30 December 2019 at 01:23 UTC to Saturday, 04 February 2023 at 00:51 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 : 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:
[68] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/
[31] https://twitter.com/ZacharyLevi/status/1619599266607169539
[16] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/?adid=share-tw
[8] https://twitter.com/IamLepoy/status/1618636647511527425/photo/1
[5] https://www.doctissimo.fr/sante/maladies/virus-emergents/covid-19/vaccins/covid-19-vers-une-dose-chaque-annee-pour-les-plus-fragiles/e29fac_ar.html
[5] https://twitter.com/DebunkMoutarde/status/1617793934843080705/photo/1
[5] https://twitter.com/TPMP/status/1620546764485918720
[4] https://gettr.com/post/p26p2kl233d
[4] https://twitter.com/hansel21_/status/1619741797076570114/photo/1
[4] https://twitter.com/MarvinH2_G2/status/1447124335978860545/photo/1

Top URLs in Tweet in G1:
[1] https://rumble.com/v25302p-precisamos-conversar-sobre-o-sr.-global-parte-iii-a-propaganda.html
[1] https://twitter.com/vejaocentro/status/1617531187882520576/video/1

Top URLs in Tweet in G2:
[3] https://twitter.com/Project_Veritas/status/1618405890612420609/video/1
[3] https://twitter.com/DrAseemMalhotra/status/1585599985860898816/photo/1
[3] https://twitter.com/JamesOKeefeIII/status/1618435991211233282/photo/1
[3] https://twitter.com/kaebee23/status/1619138386006265858/photo/1
[3] https://twitter.com/elonmusk/status/1616697612043972610
[3] https://twitter.com/AltMediaWatch/status/1621418979125530627/photo/1
[2] https://twitter.com/vancemurphy/status/1619766706687348736/photo/1
[2] https://twitter.com/2309Mia/status/1621447807885271040/photo/1
[2] https://sciencebasedmedicine.org/big-pharma/
[2] https://sciencebasedmedicine.org/healthy/

Top URLs in Tweet in G3:
[5] https://twitter.com/DebunkMoutarde/status/1617793934843080705/photo/1
[4] https://twitter.com/TPMP/status/1620546764485918720
[4] https://www.doctissimo.fr/sante/maladies/virus-emergents/covid-19/vaccins/covid-19-vers-une-dose-chaque-annee-pour-les-plus-fragiles/e29fac_ar.html
[3] https://twitter.com/CMantenac/status/1621273845456830464/photo/1
[2] https://twitter.com/DeBunKerEtoiles/status/1617845937862496256/photo/1
[2] https://twitter.com/TPMP/status/1620547824739045378/video/1
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-022-05607-y
[2] https://twitter.com/TPMP/status/1620547824739045378
[2] https://twitter.com/superVroO/status/1621055524111544320/photo/1
[1] https://twitter.com/sardine94/status/1472534338352910341

Top URLs in Tweet in G4:
[3] https://twitter.com/sudchaw/status/1619792292474400769
[1] https://twitter.com/sudchaw/status/1621505916813312000/video/1
[1] https://www.pfizer.com/news/announcements/pfizer-responds-research-claims
[1] https://twitter.com/sudchaw/status/1619792292474400769/photo/1

Top URLs in Tweet in G5:
[4] https://twitter.com/Ferretgrove/status/1619319466424422401/photo/1
[3] https://twitter.com/AlastairMcA30/status/1618295784277159937
[2] https://twitter.com/ali__samson/status/1619320167728812032/photo/1
[2] https://www.wonkette.com/antivaxx-loons-rfk-jr-jim-hoft-other-idiots-sue-news-outlets-for-booting-them-off-twitter
[1] https://twitter.com/AlastairMcA30/status/1619733957234561025/photo/1
[1] https://twitter.com/oneunderscore__/status/1621268328583921678
[1] https://twitter.com/denise_dewald/status/1620812447677571073/photo/1
[1] https://www.stopmandatoryvaccination.com/parent/vaccine-injury/35-facts-and-reasons-why-i-became-an-avid-ex-vaxxer-and-no-longer-vaccinate/
[1] https://twitter.com/MikeOfTheSouthW/status/1617917139696103429

Top URLs in Tweet in G6:
[51] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/
[4] https://gettr.com/post/p26p2kl233d
[3] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/?utm_source=dlvr.it&utm_medium=twitter
[2] https://news.google.com/__i/rss/rd/articles/CBMiU2h0dHBzOi8vd3d3LnRtei5jb20vMjAyMy8wMS8yOS96YWNoYXJ5LWxldmktYWdyZWVzLXBmaXplci1kYW5nZXItdG8td29ybGQtYW50aXZheHgv0gFTaHR0cHM6Ly9hbXAudG16LmNvbS8yMDIzLzAxLzI5L3phY2hhcnktbGV2aS1hZ3JlZXMtcGZpemVyLWRhbmdlci10by13b3JsZC1hbnRpdmF4eC8?oc=5&utm_source=dlvr.it&utm_medium=twitter
[2] https://canalsergiotavares.pt/
[2] https://twitter.com/lindsaylwallace/status/1619754095690260481/photo/1
[2] https://twitter.com/goc1978/status/1619485843793788928/photo/1
[1] https://www.xploremedia.co.uk/
[1] https://twitter.com/Ubershake/status/1619810012272132096/photo/1
[1] https://www.survivethenews.com/take-down-the-bbc-anti-vaxx-protestors-rally-outside-bbc-headquarters-video/?feed_id=641791&_unique_id=63d7cb1f732dd

Top URLs in Tweet in G7:
[30] https://twitter.com/ZacharyLevi/status/1619599266607169539
[4] https://twitter.com/godsandmortaIs/status/1619619283163811840
[3] https://twitter.com/ZacharyLevi/status/1619629603898937344
[3] https://twitter.com/blkcomictwit/status/1619758757323636738/photo/1
[3] https://twitter.com/sagesurge/status/1619713119399604226
[3] https://twitter.com/siteptbr/status/1619678205828534275
[2] https://www.justice.gov/opa/pr/justice-department-announces-largest-health-care-fraud-settlement-its-history
[2] https://twitter.com/UniversoDCnauta/status/1619676196958277633/photo/1
[2] https://twitter.com/siteptbr/status/1619678205828534275/photo/1
[2] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/

Top URLs in Tweet in G8:
[4] https://twitter.com/hansel21_/status/1619741797076570114/photo/1
[3] https://twitter.com/CartlandDavid/status/1619832944725729280/photo/1
[2] https://twitter.com/kschang777/status/1211457855221460992/photo/1
[2] https://twitter.com/HiddenPinky/status/1620887492403810306/photo/1
[1] https://twitter.com/kschang777/status/1211457855221460992
[1] https://twitter.com/hansel21_/status/1620093426275594241/photo/1
[1] https://twitter.com/hansel21_/status/1620802342617780227/photo/1
[1] https://twitter.com/hansel21_/status/1620836399317647360/photo/1
[1] https://twitter.com/SSZ1967/status/1621651734861959169/video/1
[1] https://twitter.com/TakethatCt/status/1619301124426825737/photo/1

Top URLs in Tweet in G9:
[1] https://oig.hhs.gov/newsroom/media-materials/nightingale/
[1] https://twitter.com/MikeTwome/status/1620461305198170113/photo/1
[1] https://www.cno.org/en/protect-public/code-of-conduct-for-nurses/
[1] https://www.ctvnews.ca/politics/gay-man-taking-canadian-government-to-court-says-sperm-donation-restrictions-make-him-feel-like-a-second-class-citizen-1.6256291?cid=sm%3Atrueanthem%3A%7B%7Bcampaignname%7D%7D%3Atwitterpost%E2%80%8B&taid=63db86219511e10001d53033&utm_campaign=trueAnthem%3A+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[1] https://twitter.com/CTVNews/status/1621082294348816384/photo/1
[1] https://twitter.com/CTVNews/status/1621082294348816384
[1] https://twitter.com/ianrodenppc/status/1618376354801516544/video/1

Top URLs in Tweet in G10:
[4] https://twitter.com/Lovethedawgs1/status/1619003129282052096/photo/1
[3] https://twitter.com/Texas__Bulldog/status/1618301193343873024/photo/1
[2] https://twitter.com/healthbyjames/status/1620498305771012096
[1] https://www.rollingstone.com/culture/culture-features/anti-vax-movement-new-misinformation-injuries-deaths-1234666611/
[1] https://iqfy.com/unvaccinated-silence/
[1] https://twitter.com/healthbyjames/status/1618090990648332288/photo/1
[1] https://twitter.com/i/web/status/1619036748461543424
[1] https://twitter.com/healthbyjames/status/1619036748461543424/photo/1
[1] https://twitter.com/healthbyjames/status/1619783986724896768/video/1
[1] https://www.cheshire-live.co.uk/news/chester-cheshire-news/tributes-paid-kind-caring-cheshire-26077020?int_source=amp_continue_reading&int_medium=amp&int_campaign=continue_reading_button#amp-readmore-target

Top Domains
Top Domains in Tweet in Entire Graph:
[1221] twitter.com
[93] tmz.com
[22] youtube.com
[8] co.uk
[8] gettr.com
[6] rumble.com
[6] trib.al
[5] gov.uk
[5] doctissimo.fr
[5] sciencebasedmedicine.org

Top Domains in Tweet in G1:
[1] rumble.com
[1] twitter.com

Top Domains in Tweet in G2:
[119] twitter.com
[4] sciencebasedmedicine.org
[2] newsbreak.com
[2] youtube.com
[2] trib.al
[2] washingtonpost.com
[2] cnbc.com
[1] nejm.org
[1] substack.com
[1] theepochtimes.com

Top Domains in Tweet in G3:
[83] twitter.com
[4] doctissimo.fr
[2] youtube.com
[2] 20minutes.fr
[2] liberation.fr
[2] nature.com
[1] zerohedge.com
[1] ilparagone.it
[1] slate.fr
[1] francetvinfo.fr

Top Domains in Tweet in G4:
[5] twitter.com
[1] pfizer.com

Top Domains in Tweet in G5:
[13] twitter.com
[2] wonkette.com
[1] stopmandatoryvaccination.com

Top Domains in Tweet in G6:
[57] tmz.com
[50] twitter.com
[6] gettr.com
[3] google.com
[2] co.uk
[2] canalsergiotavares.pt
[2] youtube.com
[1] survivethenews.com
[1] espn.com
[1] cbc.ca

Top Domains in Tweet in G7:
[80] twitter.com
[3] tmz.com
[2] justice.gov
[1] com.br

Top Domains in Tweet in G8:
[24] twitter.com
[1] co.uk
[1] unherd.com

Top Domains in Tweet in G9:
[4] twitter.com
[1] hhs.gov
[1] cno.org
[1] ctvnews.ca

Top Domains in Tweet in G10:
[35] twitter.com
[2] youtube.com
[1] rollingstone.com
[1] iqfy.com
[1] co.uk
[1] nature.com
[1] medpagetoday.com
[1] foxnews.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[148] antivaxx
[39] mrna
[30] antivax
[23] covid19
[17] unvaccinated
[15] covid
[14] trump
[11] vaccine
[11] pfizer
[11] putinversteher



Top Hashtags in Tweet in G2:
[10] antivaxx
[6] covid19
[4] grifter
[3] pfizer
[3] vaccine
[2] directedevolution
[2] pitre
[2] misinformation
[2] freedumb
[2] mrna

Top Hashtags in Tweet in G3:
[6] antivaxx
[4] faceababa
[3] hdpros
[2] andrebercoff
[2] covid19
[2] tpmp
[1] peronne
[1] marty
[1] 500joursdesuspension
[1] djokovic

Top Hashtags in Tweet in G4:
[1] วัคซีนเทพ

Top Hashtags in Tweet in G5:
[3] antivaxx
[1] followthemoney
[1] vaccinehesitant
[1] vaccine
[1] covidvaccines
[1] ulezexpansion
[1] vaccinegenocide
[1] pfizer
[1] nuremberg2
[1] antimask

Top Hashtags in Tweet in G6:
[15] antivaxx
[6] vaccine
[4] covid
[4] zacharylevi
[3] uk
[3] bigpharma
[3] fyp
[2] usa
[2] canada
[2] news

Top Hashtags in Tweet in G7:
[1] antivaxx
[1] antivaxs
[1] cryptomonnaie
[1] oùestmonsperme
[1] unfollowed
[1] thepoweroftruth
[1] sayitoutloud
[1] pfizer

Top Hashtags in Tweet in G8:
[1] antivaxx
[1] mrna

Top Hashtags in Tweet in G9:
[1] halifax

Top Hashtags in Tweet in G10:
[2] antivaxx
[1] mybodymychoice
[1] thepeople
[1] fauci
[1] covidvaccines
[1] trump
[1] elonmuskisafascist
[1] mrna
[1] vaccinedeaths

Top Words
Top Words in Tweet in Entire Graph:
[3779] antivaxx
[1499] somos
[1120] não
[543] ได
[540] ดแล
[514] mundo
[503] conspiração
[500] completamente
[499] políticos
[499] adversários

Top Words in Tweet in G1:
[1458] somos
[974] não
[487] mundo
[487] antivaxx
[486] adversários
[486] políticos
[486] teóricos
[486] rejeitamos
[486] completamente
[486] conspiração

Top Words in Tweet in G2:
[264] antivaxx
[62] people
[60] vaccine
[59] covid
[44] vaccines
[44] re
[32] see
[31] iancopeland5
[29] anti
[28] pfizer

Top Words in Tweet in G3:
[235] antivaxx
[99] c'est
[73] ça
[66] sont
[66] mais
[66] ce
[56] plus
[48] non
[45] par
[44] fait

Top Words in Tweet in G4:
[541] ได
[538] ดแล
[303] ไม
[273] เก
[272] กคน
[271] ให
[271] า
[270] อนท
[270] ดโรคแทรกซ
[269] ฉ

Top Words in Tweet in G5:
[297] alastairmca30
[290] fall
[200] over
[145] hardly
[145] hope
[145] dr
[145] asking
[145] ok
[145] sorry
[145] medics

Top Words in Tweet in G6:
[152] antivaxx
[45] levi
[43] zachary
[37] pfizer
[33] danger
[29] people
[29] world
[26] agrees
[18] covid
[17] anti

Top Words in Tweet in G7:
[118] antivaxx
[112] zacharylevi
[66] vaccines
[64] please
[62] mean
[60] tell
[60] life
[60] price
[59] saving
[58] artificially

Top Words in Tweet in G8:
[49] antivaxx
[16] amber84280581
[16] 0800_ksmy_ass
[14] tmafkab
[12] people
[11] hansel21_
[11] richbink
[11] swaledalemutton
[11] incytometry
[10] breezergalway

Top Words in Tweet in G9:
[306] florida
[161] antivaxx
[158] nurses
[156] selling
[154] nursing
[153] fucking
[153] wonder
[153] degrees
[153] passed
[153] fake

Top Words in Tweet in G10:
[116] antivaxx
[58] healthbyjames
[33] people
[29] vaccine
[27] covid
[20] barryonash
[20] anti
[18] vaccines
[17] more
[16] flaatens

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[999] não,somos
[507] antivaxx,não
[499] somos,teóricos
[499] somos,antivaxx
[499] completamente,mundo
[499] conspiração,somos
[499] teóricos,conspiração
[499] rejeitamos,completamente
[499] políticos,rejeitamos
[499] adversários,políticos

Top Word Pairs in Tweet in G1:
[972] não,somos
[486] antivaxx,não
[486] somos,adversários
[486] conspiração,somos
[486] teóricos,conspiração
[486] rejeitamos,completamente
[486] somos,antivaxx
[486] políticos,rejeitamos
[486] adversários,políticos
[486] somos,teóricos

Top Word Pairs in Tweet in G2:
[21] withhold,potential
[21] oncologist,saying
[21] therapeutics,until
[21] potential,therapeutics
[21] proven,rcts
[21] re,proven
[21] saying,withhold
[21] until,re
[21] irony,wasn
[21] rcts,comers

Top Word Pairs in Tweet in G3:
[22] pro,poutine
[14] ils,sont
[11] tpmp,olivierveran
[10] antivaxx,pro
[10] mauricemartin01,andrebercoff
[10] vlautard,olivierveran
[10] poutine,antivaxx
[8] ça,veut
[8] lonnibesancon,nopilx
[8] pro,russe

Top Word Pairs in Tweet in G4:
[272] ไม,ได
[270] เก,ดโรคแทรกซ
[269] ออกมายอมร,บว
[269] วไม,ได
[269] างเค,ยง
[269] ดแล,วไม
[269] ให,ไปหาหมอ
[269] าม,ผลข
[269] ฉ,ดแล
[269] าฉ,ดแล

Top Word Pairs in Tweet in G5:
[145] sorry,dr
[145] fall,hardly
[145] blood,thinners
[145] hope,ok
[145] asking,blood
[145] thinners,fall
[145] hardly,medics
[145] wolf,fall
[145] ok,asking
[145] dr,wolf

Top Word Pairs in Tweet in G6:
[42] zachary,levi
[28] danger,world
[26] pfizer,danger
[24] levi,agrees
[24] agrees,pfizer
[7] being,antivaxx
[7] anti,vaxx
[5] fury,gods
[5] gods,pfizer
[5] clear,present

Top Word Pairs in Tweet in G7:
[58] artificially,inflating
[58] life,saving
[58] inflating,price
[57] price,life
[57] saving,medicines
[57] mean,artificially
[57] medicines,vaccines
[57] tell,mean
[57] zacharylevi,please
[57] please,tell

Top Word Pairs in Tweet in G8:
[8] laymansscience,tigerlillysusan
[8] tigerlillysusan,jcresearch01
[8] djchicus,sleighthanded
[8] sarahcaul_ons,richpereira_ons
[8] janehogarth84,d151nf0
[8] jcresearch01,jneill
[8] its_agenda_2030,zeviax3
[6] ryanbeed,incytometry
[6] printervictor,sarahcaul_ons
[6] swaledalemutton,soulstokedmusic

Top Word Pairs in Tweet in G9:
[154] antivaxx,nurses
[153] passed,wonder
[153] selling,fake
[153] fake,nursing
[153] degrees,passed
[153] fucking,florida
[153] wonder,antivaxx
[153] nursing,degrees
[153] florida,selling
[153] nurses,florida

Top Word Pairs in Tweet in G10:
[19] barryonash,healthbyjames
[14] kudo4343,barryonash
[13] antivaxx,propaganda
[8] emeraldrobinson,havent
[8] antivaxx,bs
[8] contain,antivaxx
[8] bet,dollar
[8] healthbyjames,james
[8] proile,bet
[8] looked,proile

Top Replied-To
Top Replied-To in Entire Graph:
@zacharylevi
@healthbyjames
@dvatw
@finstreet
@flaatens
@draseemmalhotra
@doctor_eric_b
@iancopeland5
@scottadamssays
@steog12

Top Replied-To in G1:
@timebonoro_22
@sress22

Top Replied-To in G2:
@draseemmalhotra
@doctor_eric_b
@iancopeland5
@steog12
@thereal_truther
@robertkennedyjr
@abridgen
@rwmalonemd
@cnn
@thevegdoc

Top Replied-To in G3:
@finstreet
@myriampalomba
@tpmp
@arikouts
@silvano_trotta
@leonard1nimoy
@cemizback
@conconlouison
@dr_l_alexandre
@verity_france

Top Replied-To in G4:
@sulovebossss
@phaden14
@meowtorchef
@xxxg86

Top Replied-To in G5:
@alastairmca30
@19joho
@jimmysmustard
@crehage
@schiller1985
@denise_dewald
@ferretgrove
@cjsnowdon
@johnincarlisle
@sabivm

Top Replied-To in G7:
@zacharylevi
@maxkennerly
@marcelonaranjo
@iansbf
@rawbertbeef
@dvanw6
@dinodanlucas
@cliftonaduncan
@themightyjerd
@crixssp

Top Replied-To in G8:
@hansel21_
@richbink
@gurdur
@kitty_grayling
@fatalfibers
@natalleycat
@atomskssanakan
@jonesthepoet
@cartlanddavid
@berrytartlet

Top Replied-To in G9:
@retiredcdnrjb
@ianrodenppc
@jarly29214161
@teamsonagh

Top Replied-To in G10:
@healthbyjames
@dvatw
@flaatens
@rarzjevtovic
@heathenofthecr1
@games_oconnor
@kevinwitvliet00
@fortesque10
@david_r_morgan
@liberty_fabian

Top Mentioned
Top Mentioned in Entire Graph:
@vejaocentro
@alastairmca30
@petnq
@hausofpettymnn
@zacharylevi
@quantumleaptrad
@tylerblack32
@carolinevrigby
@healthbyjames
@tmz

Top Mentioned in G1:
@vejaocentro

Top Mentioned in G2:
@iancopeland5
@ryanmarino
@pfizer
@abridgen
@stkirsch
@doctor_eric_b
@p_mcculloughmd
@draseemmalhotra
@elonmusk
@petersweden7

Top Mentioned in G3:
@olivierveran
@myriampalomba
@andrebercoff
@silvano_trotta
@lonnibesancon
@beatrice_rosen
@verity_france
@mauricemartin01
@vlautard
@nopilx

Top Mentioned in G4:
@petnq
@smartassinpants
@meowtorchef
@phaden14

Top Mentioned in G5:
@alastairmca30
@sjwilliams123
@drcraigwax
@retsefl
@ryanmarino
@petersweden7
@ali__samson
@ferretgrove
@fairplaydesigns
@joepgould

Top Mentioned in G6:
@smcadman
@lafleurmtl

Top Mentioned in G7:
@zacharylevi
@carolinevrigby
@markruffalo
@maxkennerly
@epiphanictrip
@edkasse
@iansbf
@skyzar34
@marcelonaranjo
@siteptbr

Top Mentioned in G8:
@amber84280581
@0800_ksmy_ass
@tmafkab
@incytometry
@laymansscience
@breezergalway
@swaledalemutton
@tigerlillysusan
@cachepast
@johannaszabo1

Top Mentioned in G9:
@hausofpettymnn
@ctvnews
@avis_favaro
@miketwome
@newsmanbluesman
@retiredcdnrjb
@senecacollege
@alastairmca30
@kaebee23
@teamsonagh

Top Mentioned in G10:
@healthbyjames
@barryonash
@kudo4343
@skychick_
@drjamesolsson
@realstewpeters
@emeraldrobinson
@games_oconnor
@james
@raba6999

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@teamyoutube
@joni_looking
@britpoptarts
@kego_jung
@lizditz
@drocktrot
@tovaga
@marthalynneowe1
@ligayaloyola

Top Tweeters in G1:
@tovaga
@moacyrodrigues
@silvamarcosrj
@valentinameyer
@keliveronezi
@victortamoios
@ayurvedapoa
@ronivilar
@maibonsimone
@leasilviasp

Top Tweeters in G2:
@lizditz
@business
@littlemore20
@cnbc
@mailonline
@joejaggi
@peterdilworth1
@cnn
@cindyb1333
@xpatjock

Top Tweeters in G3:
@teppdude
@le_parisien
@20minutes
@jc_dussse
@planet211180
@sardine94
@eloy_sauvan
@libe
@saraart4
@henryguillaum13

Top Tweeters in G4:
@kego_jung
@film_xososhi
@nomi_nee
@iam_chocom
@pengein_chung
@inna4497
@dearyuki_
@asiras_etav
@pp4121010026
@peachplusme

Top Tweeters in G5:
@britpoptarts
@1loriking
@adekleine
@bassaces1
@radlein
@antipandemonium
@barbiewithatude
@debeauxos1
@mjohnso27
@dianneathome

Top Tweeters in G6:
@drocktrot
@ligayaloyola
@ubershake
@riderbabe52
@bpalust
@lafleurmtl
@chrisabraham
@strangerlorde
@francesco212
@carine_cobalt

Top Tweeters in G7:
@groovy_ky
@dalek_fan
@snarky_op
@radseed
@hommeebene1998
@skyebright8
@dmellieon
@estadao
@truhamhiggs
@momrovin

Top Tweeters in G8:
@gurdur
@scepticalaussie
@takethatct
@breezergalway
@jneill
@jonesthepoet
@louisemensch
@atomskssanakan
@gorskon
@carlsmythe

Top Tweeters in G9:
@joni_looking
@marthalynneowe1
@princessbravato
@prime_bee
@tallyannae
@vmbritsch
@kerirn
@rr_edmonds
@ronilj261
@lacadri34

Top Tweeters in G10:
@speak4tomorrow
@bagdmilksowhat
@wilsonjohnas
@forsorrows
@naomirwolf
@occupyonelove
@judybluetoo
@jarlwaage
@lizauk3
@ikitorp


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