zika, Twitter, 3/17/2022 4:14:53 PM, 273113


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zika_2022-03-17_06-51-13.xlsx
zika_2022-03-17_06-51-13.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 17, 2022
Short Description:
zika via NodeXL https://bit.ly/3ijoymh
@cr7brasil
@somosaopaulinos
@saopaulofc
@gaules
@kaliel
@caiorodrigues7s
@eusoumilhor
@lhgnclvs
@saotorista
@maay_xavier23

Top hashtags:
#zika
#dengue
#chikungunya
#aedesaegypti
#haemagogus
#janthinomys
#aedesalbopictus

Description:
Description
The graph represents a network of 8,951 Twitter users whose tweets in the requested range contained "zika", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 March 2022 at 13:56 UTC.

The requested start date was Thursday, 17 March 2022 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 3-day, 0-hour, 48-minute period from Sunday, 13 March 2022 at 20:37 UTC to Wednesday, 16 March 2022 at 21:25 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 : 8951
Unique Edges : 5948
Edges With Duplicates : 5443
Total Edges : 11391
Number of Edge Types : 5
Replies to : 2846
Retweet : 2321
MentionsInRetweet : 2476
Tweet : 2338
Mentions : 1410
Self-Loops : 2355
Reciprocated Vertex Pair Ratio : 0.0195795217461082
Reciprocated Edge Ratio : 0.0384070517865575
Connected Components : 3287
Single-Vertex Connected Components : 1588
Maximum Vertices in a Connected Component : 1492
Maximum Edges in a Connected Component : 3062
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.827269
Graph Density : 7.93020223700857E-05
Modularity : 0.620038
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,951 Twitter users whose tweets in the requested range contained "zika", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 March 2022 at 13:56 UTC.

The requested start date was Thursday, 17 March 2022 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 3-day, 0-hour, 48-minute period from Sunday, 13 March 2022 at 20:37 UTC to Wednesday, 16 March 2022 at 21:25 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 : zika
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:
[37] https://twitter.com/futurizando_/status/1503554300580085762
[27] https://criaturas-incriveis.blogspot.com/2019/05/Haemagogus-Janthinomys.html
[12] https://twitter.com/Oledobrasil/status/1503118203362418692
[11] https://www.prensa-latina.cu/2022/03/16/cuba-sin-casos-de-zika-y-chikungunya-revelan-autoridades-sanitarias
[8] https://twitter.com/spfcpics/status/1503107615638831110
[6] https://abc7ny.com/zika-baby-update-darah/11653836/?ex_cid=TA_WABC_TW&taid=6231184643b33f0001db4d77&utm_campaign=trueAnthem:+New+Content+(Feed)&utm_medium=trueAnthem&utm_source=twitter
[6] https://www.ngenespanol.com/animales/un-mosquito-vector-del-zika-dengue-y-otras-enfermedades-cruzo-el-atlantico-y-alerta-a-america/
[6] https://www.northjersey.com/story/news/health/2022/03/15/first-nj-zika-baby-five-years-later/6821128001/
[5] https://abc7ny.com/zika-baby-update-darah/11653836/?ex_cid=TA_WABC_TW&taid=6232028191bc6a00016f6e7b&utm_campaign=trueAnthem:+Trending+Content&utm_medium=trueAnthem&utm_source=twitter
[4] http://twitcom.com.br/groupUser.php?user=Heyy__Guii

Top URLs in Tweet in G1:
[20] https://twitter.com/futurizando_/status/1503554300580085762
[7] https://twitter.com/spfcpics/status/1503107615638831110
[4] http://twitcom.com.br/groupUser.php?user=Heyy__Guii
[3] https://term.ooo/
[3] https://twitter.com/Anitta/status/1503227302192295938
[3] https://prisioneroenargentina.com/index.php/2022/03/15/mosquitos-modificados-geneticamente-para-combatir-las-enfermedades-del-dengue-y-el-zika/
[3] https://twitter.com/nrygiulia/status/1503543779579600898
[3] http://twitcom.com.br/groupUser.php?user=laari15_zika
[3] http://twitcom.com.br/groupUser.php?user=mulekes_zika
[3] https://www.belfercenter.org/publication/applying-lessons-other-global-crises-covid-19-pandemic-and-future-health-crises

Top URLs in Tweet in G2:
[2] https://twitter.com/CR7Brasil/status/1503837530776555521

Top URLs in Tweet in G3:
[1] https://twitter.com/i/web/status/1503178434440273925
[1] https://twitter.com/mandytop_/status/1503555011216908298
[1] https://twitter.com/i/web/status/1503182431372853251
[1] https://twitter.com/i/web/status/1503160528650358787
[1] https://twitter.com/i/web/status/1503246793022316544
[1] https://twitter.com/i/web/status/1503205255311507460
[1] https://twitter.com/i/web/status/1503152769838026754
[1] https://twitter.com/i/web/status/1503129725493035008
[1] https://twitter.com/i/web/status/1503198237339041793
[1] https://twitter.com/i/web/status/1503190048996536326

Top URLs in Tweet in G4:
[1] https://twitter.com/somosaopaulinos/status/1503917647544692736
[1] https://twitter.com/lacerda/status/1503556143486058498
[1] https://twitter.com/SaoPauloFC/status/1503119755779231744
[1] https://twitter.com/spfcpics/status/1503107615638831110
[1] https://twitter.com/SaoPauloFC/status/1503107393051406343
[1] https://twitter.com/arqtricolor/status/1503107386999021576

Top URLs in Tweet in G5:
[1] https://twitter.com/i/web/status/1503144636566716418

Top URLs in Tweet in G6:
[1] https://twitter.com/franca_central/status/1503196028811595779

Top URLs in Tweet in G8:
[1] https://geneticliteracyproject.org/2016/08/11/olympic-health-update-zika-vaccines-gmo-mosquitoes-snake-oils/

Top URLs in Tweet in G10:
[27] https://criaturas-incriveis.blogspot.com/2019/05/Haemagogus-Janthinomys.html
[3] https://www.lshtm.ac.uk/research/centres-projects-groups/fiebre#updates
[2] https://www.mspbs.gov.py/portal/24998/dengue-en-pausado-descenso.html
[1] https://twitter.com/i/web/status/1503116971851886597
[1] https://gvn.org/sars-cov-2-response-efforts/gvn-forefront-of-virology-webinar-featuring-dr-mauricio-l-nogueira/
[1] https://dgvs.mspbs.gov.py/page/#1648
[1] https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0008606
[1] https://twitter.com/i/web/status/1503116595245289475
[1] https://www.nytimes.com/2022/03/14/science/covid-dengue-virus.html

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[81] zika
[68] dengue
[45] chikungunya
[28] aedesaegypti
[27] haemagogus
[27] janthinomys
[27] aedesalbopictus
[26] aedesscapularis
[20] mosquitos
[20] bbb22



Top Hashtags in Tweet in G1:
[17] zika
[14] bbb22
[10] dengue
[7] chikungunya
[6] gofra
[5] virus
[4] copanfa
[4] finalcomotody
[4] mosquitoes
[4] bbmzansi

Top Hashtags in Tweet in G3:
[1] zikainperson

Top Hashtags in Tweet in G5:
[1] spfc
[1] rigoni
[1] paulistao

Top Hashtags in Tweet in G6:
[2] gofra
[1] franotopo

Top Hashtags in Tweet in G10:
[44] dengue
[37] zika
[33] chikungunya
[27] haemagogus
[27] janthinomys
[27] aedesaegypti
[27] aedesalbopictus
[26] aedesscapularis
[19] mosquitos
[18] aedestaeniorhynchus

Top Words
Top Words in Tweet in Entire Graph:
[6783] zika
[1748] toda
[905] cr7brasil
[807] vai
[744] meu
[674] pai
[654] deus
[646] não
[581] terra
[569] quebrando

Top Words in Tweet in G1:
[1659] zika
[203] eu
[154] não
[135] sai
[120] pra
[107] dengue
[102] vai
[99] em
[97] essa
[92] meu

Top Words in Tweet in G2:
[1515] toda
[1034] zika
[884] cr7brasil
[559] pai
[533] terra
[517] deus
[516] meu
[516] cristiano
[515] ronaldo
[515] vai

Top Words in Tweet in G3:
[394] zika
[254] gaules
[90] gau
[70] sharksesportsgg
[57] não
[46] em
[44] tem
[35] julihcsgo
[35] jeito
[35] imperialesports

Top Words in Tweet in G4:
[345] zika
[299] rigoni
[284] esse
[256] gol
[252] sai
[227] somosaopaulinos
[227] merecia
[227] demais
[112] emiliano
[112] sem

Top Words in Tweet in G5:
[80] zika
[49] saopaulofc
[33] sai
[25] emirigoni
[12] saiu
[8] pra
[7] não
[5] vianacec
[5] cruzeiro
[5] vc

Top Words in Tweet in G6:
[101] zika
[79] saiu
[42] spkclb
[40] spk
[38] mais
[37] tava
[37] nerfado
[36] início
[36] camp
[36] mas

Top Words in Tweet in G7:
[136] estou
[70] zika
[68] passando
[68] mal
[68] depressão
[68] peguei
[68] dengue
[68] hemorrágica
[68] contrai
[68] variantes

Top Words in Tweet in G8:
[96] mosquitoes
[48] blu3note1
[48] genetically
[48] modified
[48] set
[48] released
[48] california
[48] florida
[48] made
[48] uk

Top Words in Tweet in G10:
[44] #dengue
[37] #zika
[33] #chikungunya
[27] #haemagogus
[27] #janthinomys
[27] criaturas
[27] incríveis
[27] #aedesaegypti
[27] #aedesalbopictus
[26] #aedesscapularis

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1137] toda,zika
[569] vai,quebrando
[566] quebrando,toda
[565] zika,toda
[563] pai,bondade
[563] bondade,estende
[563] estende,tuas
[563] tuas,mãos
[563] mãos,abençoa
[559] deus,misericordia

Top Word Pairs in Tweet in G1:
[91] sai,zika
[68] dengue,zika
[49] zika,virus
[37] zika,reversa
[34] zika,demais
[33] zika,chikungunya
[32] essa,zika
[29] muito,zika
[28] não,zika
[27] maior,zika

Top Word Pairs in Tweet in G2:
[1001] toda,zika
[515] cristiano,ronaldo
[514] deus,misericordia
[514] misericordia,pai
[514] pai,bondade
[514] bondade,estende
[514] estende,tuas
[514] tuas,mãos
[514] mãos,abençoa
[514] abençoa,meu

Top Word Pairs in Tweet in G3:
[58] gaules,sharksesportsgg
[52] gaules,zika
[43] gau,zika
[32] jeito,gau
[32] zika,diferente
[31] julihcsgo,jeito
[22] zika,zika
[18] zika,gaules
[17] souzavjoao,gaules
[17] sai,zika

Top Word Pairs in Tweet in G4:
[252] sai,zika
[238] esse,gol
[227] rigoni,merecia
[227] merecia,demais
[227] demais,esse
[226] somosaopaulinos,sai
[175] zika,rigoni
[112] emiliano,rigoni
[111] zika,emiliano
[111] gol,ficou

Top Word Pairs in Tweet in G5:
[30] sai,zika
[18] saopaulofc,emirigoni
[15] saopaulofc,sai
[8] zika,saiu
[7] emirigoni,sai
[5] saopaulofc,zika
[4] saiu,zika
[3] emirigoni,zika
[2] vianacec,cruzeiro
[2] cruzeiro,copadobrasil

Top Word Pairs in Tweet in G6:
[71] zika,saiu
[37] tava,nerfado
[36] spk,início
[36] início,camp
[36] camp,tava
[36] nerfado,mas
[36] mas,agora
[36] agora,zika
[36] saiu,ninguém
[36] ninguém,ele

Top Word Pairs in Tweet in G7:
[68] estou,passando
[68] passando,mal
[68] mal,estou
[68] estou,depressão
[68] depressão,peguei
[68] peguei,dengue
[68] dengue,hemorrágica
[68] hemorrágica,zika
[68] zika,contrai
[68] contrai,variantes

Top Word Pairs in Tweet in G8:
[48] genetically,modified
[48] modified,mosquitoes
[48] mosquitoes,set
[48] set,released
[48] released,california
[48] california,florida
[48] florida,mosquitoes
[48] mosquitoes,made
[48] made,uk
[48] uk,based

Top Word Pairs in Tweet in G10:
[27] #haemagogus,#janthinomys
[27] #janthinomys,criaturas
[27] criaturas,incríveis
[27] incríveis,#aedesaegypti
[27] #aedesaegypti,#aedesalbopictus
[26] #aedesalbopictus,#aedesscapularis
[18] #aedesscapularis,#aedestaeniorhynchus
[18] #aedestaeniorhynchus,#chikungunya
[18] #chikungunya,#dengue
[18] #dengue,#febreamarela

Top Replied-To
Top Replied-To in Entire Graph:
@gaules
@saopaulofc
@oledobrasil
@spkclb
@cr7brasil
@cachorro1337
@datti_zika
@modbatatagg
@zika_fierce
@batatareal

Top Replied-To in G2:
@cr7brasil
@neymarjrdepre
@_makavelijones
@luizf_fernandes
@lindacec_
@crfpolonio
@pedrwx_
@felpssfc
@hellenfernandax
@gaga_parrilla

Top Replied-To in G3:
@gaules
@souzavjoao
@gustavozaph
@imperialesports
@fallencs
@desimpedidos
@tribo_cortes
@julihcsgo
@zews
@d3veras

Top Replied-To in G4:
@spfcdaopressao
@mv__oliveiraa
@somosaopaulinos
@eomitas
@spfcpics
@bia_coments_
@pedroojrr
@xavierjunior46
@pixningopain
@lp17sp

Top Replied-To in G5:
@saopaulofc
@vianacec
@emirigoni
@bento9rs
@luizapezz
@marquesderick12
@cearasc
@cruzeiro
@timinchin
@maurobastos1971

Top Replied-To in G6:
@spkclb
@kroozzns
@insurgent_ofc
@laranjascentral
@jeffaocs

Top Replied-To in G8:
@i_luv_xrp

Top Replied-To in G9:
@vasilva1971

Top Mentioned
Top Mentioned in Entire Graph:
@cr7brasil
@somosaopaulinos
@gaules
@eusoumilhor
@sharksesportsgg
@kaliel
@blu3note1
@spfcdaopressao
@jordanaxis
@julihcsgo

Top Mentioned in G1:
@pikarille
@sabiadirso
@naunoticiasmx
@ramvajpeyi
@amareconcierge
@semmosquito
@factbasedhealth
@laviejaguardiaa

Top Mentioned in G2:
@cr7brasil
@eusoumilhor
@syascrf
@crfmxrcus
@neymarjrdepre
@arthur_vmh
@somosaopaulinos
@vascaodazoeira
@luiz_eee
@isacale33

Top Mentioned in G3:
@gaules
@sharksesportsgg
@julihcsgo
@imperialesports
@ale_apoka
@boltz
@fer
@vini_csgo
@linfnx
@ferrer_cs

Top Mentioned in G4:
@somosaopaulinos
@spfcdaopressao
@artur_ms
@cr7brasil
@botspfc
@leticiamilk09
@spfcpics
@tinowns
@hernanesm1lgr4
@frostrgb

Top Mentioned in G5:
@emirigoni
@cruzeiro
@copadobrasil
@saopaulofc
@pixbet
@bagrielalopez
@primevideobr
@allvesdry
@cr7brasil
@saotorista

Top Mentioned in G6:
@jordanaxis
@spkclb
@gordinn9j
@hagataxis_
@guist4rk
@insurgent_ofc
@jeffaocs

Top Mentioned in G7:
@kaliel
@cr7brasil

Top Mentioned in G8:
@blu3note1
@leeraldar
@stoicmel

Top Mentioned in G9:
@tio_dan_dan
@meuguiagminhav
@buscandoalogica
@luizmarcelocb
@claudio51336128
@fernandiando700
@ivosolondias
@tobiascarrieri
@piternilsont
@renzograciebjj

Top Mentioned in G10:
@sinfiltrosnoti
@brazilsfe
@ssalud_tab
@univamu
@inserm
@ird_fr
@ssm_morelos
@quevedojm21
@vigisaludpy
@feverstudies

Top Tweeters
Top Tweeters in Entire Graph:
@genshin_7
@robinsnewswire
@nitroboran
@xaconha
@lizditz
@bot_careca
@thehill
@eu2145
@edilton09
@actualidadrt

Top Tweeters in G1:
@twelvebot
@tabascohoy
@adabagcompany
@armasdeana
@pjminseok
@forgerat
@luckyspfc
@launionam
@iam_wynona
@fakehistorybot

Top Tweeters in G2:
@luiz__mathias
@estreladanoite8
@josiasdiaszed
@santos_palomaa
@heaveshawn
@lalitoespos7
@rubrnegra
@raiane_fagundes
@laurabspfc
@crf_laiss

Top Tweeters in G3:
@lucax_crf
@guilher_alves
@ohduardo
@daviribeirot
@desimpedidos
@tracklist
@mwtheuz
@amadeubarcellos
@rcsaf
@lorranzacconi

Top Tweeters in G4:
@edilton09
@jorgevictorsoa2
@leocavilhoni
@ttithearetomada
@soraiaserrao
@neymar10_fc
@jaumcappia
@cleb_633
@cportugal7
@princessmilk_

Top Tweeters in G5:
@_gabiilm_
@_pksilva
@trrcolor
@laurmj27
@idlechxrry
@chocispfc
@bento9rs
@cearasc
@valdemirjr08
@victxshawn

Top Tweeters in G6:
@mandyzete
@jordanaxis
@kayoxiss
@ingridxiss
@isadoramariaz
@bea_santosa_
@lanyxisl
@fabianaxls
@freitasxiss
@davettori

Top Tweeters in G7:
@dmrcoelho
@lrpereira10
@kaliel
@mini_mila
@gabmel0
@marinamiss
@br_fioravanti
@baaabbc
@henriiluca
@rangel_a7x

Top Tweeters in G8:
@lorac22allen
@angelah58
@lyndacsmith
@rumbleboffin
@stoicmel
@skieurope1
@kondor_anna
@fran09637399
@sharezone5
@joan_nickels

Top Tweeters in G9:
@renzograciebjj
@tio_dan_dan
@dexteradomini1
@detetivevsilva
@conserva_livre
@vasilva1971
@meuguiagminhav
@ytzevaot
@buscandoalogica
@oliviapepper38

Top Tweeters in G10:
@nytimes
@tvtenlinea
@paraguaytvhd
@brazilsfe
@jadedios
@ssalud_tab
@rnsanpedro
@ssm_morelos
@gobierno_tab
@dasiamorelos


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