NCoV, Twitter, 4/3/2020 12:23:57 PM, 224343


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NCoV_2020-04-03_01-17-50.xlsx
NCoV_2020-04-03_01-17-50.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
April 03, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2JzIxM5
@realdonaldtrump
@cdcgov
@hhsgov
@mph_for_doctors
@ume_yamyamyam
@fortepiecat
@lonesquirrel
@camask
@nextstrain
@who

Top hashtags:
#covidー19
#covid19
#coronavirus
#sarscov2
#hcov19
#foodsecurity
#ncov
#covid_19

Description:
Description
The graph represents a network of 5,767 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 April 2020 at 08:19 UTC.

The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 4-hour, 50-minute period from Tuesday, 31 March 2020 at 02:17 UTC to Wednesday, 01 April 2020 at 07:08 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 : 5767
Unique Edges : 5901
Edges With Duplicates : 568
Total Edges : 6469
Number of Edge Types : 4
Tweet : 1135
MentionsInRetweet : 4264
Replies to : 329
Mentions : 741
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.00431795878312071
Reciprocated Edge Ratio : 0.00859878835255032
Connected Components : 1205
Single-Vertex Connected Components : 644
Maximum Vertices in a Connected Component : 2879
Maximum Edges in a Connected Component : 3546
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.835486
Graph Density : 0.000153883064869486
Modularity : 0.797644
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,767 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 April 2020 at 08:19 UTC.

The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 4-hour, 50-minute period from Tuesday, 31 March 2020 at 02:17 UTC to Wednesday, 01 April 2020 at 07:08 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 : NCoV
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:
[1365] https://coronavirus.gov/
[100] http://ncov.mohw.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=13&ncvContSeq=&contSeq=&board_id=&gubun=
[94] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[63] https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share=
[56] https://nextstrain.org/ncov
[38] http://minato.sip21c.org/2019-nCoV-im3r.html
[15] https://coronavirus.ohio.gov/
[15] http://bit.ly/KickRefP
[15] https://cdn.digital.gob.cl/public_files/Campa%C3%B1as/Corona-Virus/Reportes/30.03.2020_Reporte_Coronavirus.pdf
[15] https://github.com/pcm-dpc/COVID-19/blob/master/dati-andamento-nazionale/dpc-covid19-ita-andamento-nazionale.csv

Top URLs in Tweet in G1:
[1267] https://coronavirus.gov/
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[2] https://twitter.com/miamijj48/status/1244689157487820801
[1] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/testing.html

Top URLs in Tweet in G2:
[16] https://nextstrain.org/ncov
[11] https://coronavirus.gov/
[6] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[5] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-03-27
[5] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[4] https://www.coronavirus.gov/
[3] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[3] https://gis.jag-japan.com/covid19jp/
[3] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html

Top URLs in Tweet in G3:
[3] https://www.cdc.gov/coronavirus/2019-ncov/hcp/inpatient-obstetric-healthcare-guidance.html
[2] http://www.nihs.go.jp/hse/food-info/microbial/2019-nCoV/2019-nCoVfsai1.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/index.html
[1] https://coronavirus.jhu.edu/map.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9422-covid-dp-2.html
[1] https://twitter.com/hakuhonitudora3/status/1243887774064836614
[1] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/healthcare-facilities/hcp-return-work.html

Top URLs in Tweet in G4:
[7] https://coronavirus.gov/
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prepare/managing-stress-anxiety.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/15-day-pause.html
[3] https://bit.ly/2JrCJUY
[3] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/first-responders.html
[2] https://bit.ly/2Qj4ing

Top URLs in Tweet in G5:
[11] https://nextstrain.org/ncov
[2] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-03-27
[2] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-03-13
[2] https://nextstrain.org/ncov?c=recency&f_author=Vanmechelen%20et%20al&p=grid
[1] https://nextstrain.org/narratives/ncov/sit-rep/zh/2020-03-27?n=1
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-03-27
[1] https://nextstrain.org/narratives/ncov/sit-rep/fa/2020-03-27
[1] https://nextstrain.org/narratives/ncov/sit-rep/ko/2020-03-27
[1] https://nextstrain.org/narratives/ncov/sit-rep/tr/2020-03-27
[1] https://nextstrain.org/ncov?f_recency=1-2%20days%20ago&f_submitting_lab=GIGA%20Medical%20Genomics

Top URLs in Tweet in G6:
[4] https://apps.who.int/iris/bitstream/handle/10665/331601/WHO-2019-nCoV-Sci_Brief-Transmission_modes-2020.1-eng.pdf
[3] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
[2] https://apps.who.int/iris/bitstream/handle/10665/331508/WHO-2019-nCoV-IPC_long_term_care-2020.1-eng.pdf
[1] https://openwho.org/courses/introduction-to-ncov
[1] https://www.who.int/news-room/detail/23-01-2020-statement-on-the-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov)
[1] https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov)
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200130-sitrep-10-ncov.pdf?sfvrsn=d0b2e480_2
[1] https://www.who.int/publications-detail/clinical-management-of-severe-acute-respiratory-infection-when-novel-coronavirus-(ncov)-infection-is-suspected
[1] http://ow.ly/WGPk50z1mJs
[1] http://ow.ly/BP4j50z1mJt

Top URLs in Tweet in G7:
[59] https://ncov.dxy.cn/ncovh5/view/en_pneumonia?from=dxy&source=&link=&share=
[5] https://ncov.dxy.cn/ncovh5/view/en_pneumonia_area?aid=ARG&from=dxy&link=&share=&source=

Top URLs in Tweet in G8:
[99] http://ncov.mohw.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=13&ncvContSeq=&contSeq=&board_id=&gubun=

Top URLs in Tweet in G9:
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

Top URLs in Tweet in G10:
[56] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[38] https://coronavirus.gov/
[1] https://harvardtothebighouse.com/2020/01/31/logistical-and-technical-analysis-of-the-origins-of-the-wuhan-coronavirus-2019-ncov/

Top Domains
Top Domains in Tweet in Entire Graph:
[1374] coronavirus.gov
[347] cdc.gov
[112] nextstrain.org
[110] go.kr
[96] bit.ly
[93] twitter.com
[72] dxy.cn
[51] who.int
[43] sip21c.org
[38] gov.au

Top Domains in Tweet in G1:
[1267] coronavirus.gov
[4] cdc.gov
[2] twitter.com

Top Domains in Tweet in G2:
[47] twitter.com
[44] cdc.gov
[26] nextstrain.org
[15] coronavirus.gov
[12] who.int
[10] ift.tt
[7] bit.ly
[7] arcgis.com
[5] gov.au
[5] lg.jp

Top Domains in Tweet in G3:
[7] cdc.gov
[3] go.jp
[1] jhu.edu
[1] twitter.com

Top Domains in Tweet in G4:
[70] cdc.gov
[17] bit.ly
[9] coronavirus.gov
[4] usa.gov
[3] twitter.com
[2] sip21c.org
[1] defense.gov
[1] ow.ly
[1] michmed.org
[1] youtube.com

Top Domains in Tweet in G5:
[25] nextstrain.org
[1] artic.network

Top Domains in Tweet in G6:
[15] who.int
[3] twitter.com
[2] ow.ly
[2] bit.ly
[2] cdc.gov
[1] openwho.org
[1] gov.uk
[1] igrnews.com

Top Domains in Tweet in G7:
[64] dxy.cn

Top Domains in Tweet in G8:
[99] go.kr

Top Domains in Tweet in G9:
[1] cdc.gov

Top Domains in Tweet in G10:
[56] cdc.gov
[38] coronavirus.gov
[1] harvardtothebighouse.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1329] covidー19
[558] covid19
[213] coronavirus
[112] sarscov2
[84] hcov19
[49] foodsecurity
[43] ncov
[32] covid_19
[31] 新型コロペウイルス
[24] socialdistancing



Top Hashtags in Tweet in G1:
[1267] covidー19

Top Hashtags in Tweet in G2:
[32] coronavirus
[28] covid19
[12] ncov
[11] covidー19
[8] 新型肺炞影éÿ¿
[8] 百度
[8] 新型冠皶病毒
[5] stayhome
[5] ncov2019
[4] staysafe

Top Hashtags in Tweet in G4:
[179] covid19
[23] coronavirus
[17] 新型コロペウイルス
[13] breastfeeding
[8] socialdistancing
[8] petowners
[4] strongeurope
[3] physicaldistance
[3] stayathome
[3] nationaldoctorsday

Top Hashtags in Tweet in G5:
[105] sarscov2
[82] hcov19
[28] covid19
[7] opendata
[4] ú©ùˆùˆûœø¯û±û¹
[4] ø³ø§ø±ø³_ú©ùˆ_2
[3] coronavirus

Top Hashtags in Tweet in G6:
[48] covid19
[11] coronavirus
[10] iges
[6] geohealth
[6] ncov
[5] health
[4] innovationeconomics
[4] sncov
[3] arka
[2] olderpeople

Top Hashtags in Tweet in G7:
[10] coronavirusargentina
[1] explicanos
[1] gines
[1] covid19

Top Hashtags in Tweet in G10:
[27] covid19
[11] covidー19
[1] socialdistancing
[1] washyourhands
[1] openusa

Top Words
Top Words in Tweet in Entire Graph:
[1237] Words in Sentiment List#1: Positive
[2913] Words in Sentiment List#2: Negative
[13] Words in Sentiment List#3: Angry/Violent
[161312] Non-categorized Words
[165463] Total Words
[3763] æ
[2996] ϋ
[2654] ç
[2507] šã
[2436] ì

Top Words in Tweet in G1:
[1269] realdonaldtrump
[1267] 30
[1267] days
[1267] slow
[1267] spread
[1267] #covidãƒ
[1267] 19
[4] total
[3] ago
[3] cdc

Top Words in Tweet in G2:
[516] ncov
[256] æ
[187] ø
[182] sa
[132] ãƒ
[124] ç
[112] ù
[96] 2019
[92] 19
[92] ng

Top Words in Tweet in G3:
[2667] ϋ
[2251] æ
[2231] šã
[1371] ç
[894] ªã
[890] ÿã
[886] äº
[884] ÿæÿ
[882] Ͼ
[493] ãƒ

Top Words in Tweet in G4:
[240] cdcgov
[179] #covid19
[160] ç
[107] during
[103] spread
[93] ãƒ
[84] sick
[81] æ
[75] pets
[75] virus

Top Words in Tweet in G5:
[402] ãƒ
[256] æ
[166] æœ
[160] ç
[157] ÿã
[156] åˆ
[137] ø
[135] nextstrain
[120] ì
[105] #sarscov2

Top Words in Tweet in G6:
[94] human
[52] evidence
[51] transmission
[48] #covid19
[47] preliminary
[47] investigations
[47] conducted
[47] chinese
[47] authorities
[47] found

Top Words in Tweet in G7:
[138] segãºn
[130] 80
[128] argentina
[118] muertos
[117] 26
[70] gobierno
[69] nuestro
[69] paã
[69] infome
[69] global

Top Words in Tweet in G8:
[1782] ì
[1089] ë
[594] ê
[396] í
[198] ëš
[198] ˆ
[99] ˆë
[99] ϓ
[99] 있ì
[99] ˆì

Top Words in Tweet in G9:
[2] lou_bruette
[2] merry_hippie
[2] patriqt_1776
[2] 42gnome
[2] franjerkington
[2] gpoopon
[2] 2019
[2] coronavirus
[2] xiao
[2] disease

Top Words in Tweet in G10:
[55] cdc
[55] numbers
[55] updated
[55] day
[55] pm
[55] open
[55] businesses
[54] sidneypowell1
[54] andâ
[27] ðÿœ

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1323] slow,spread
[1319] #covidãƒ,19
[1307] days,slow
[1305] 30,days
[1304] spread,#covidãƒ
[1299] realdonaldtrump,30
[994] ªã,šã
[923] ç,œã
[896] šã,œã
[896] œã,ªã

Top Word Pairs in Tweet in G1:
[1267] 30,days
[1267] days,slow
[1267] slow,spread
[1267] spread,#covidãƒ
[1267] #covidãƒ,19
[1266] realdonaldtrump,30
[2] weeks,ago
[2] total,cases
[2] total,deaths
[2] addendum,go

Top Word Pairs in Tweet in G2:
[77] 2019,ncov
[75] ø,ø
[66] æ,æ
[65] ø,ù
[58] covid,19
[55] sa,ncov
[54] ù,ø
[36] ng,ncov
[31] ãƒ,ãƒ
[29] ù,ù

Top Word Pairs in Tweet in G3:
[886] ªã,šã
[885] šã,œã
[882] ç,œã
[882] œã,ªã
[453] åœ,ç
[445] ãƒ,æ
[444] ϋ,؋
[444] ç,šã
[443] œã,ç
[443] æ,ÿæÿ

Top Word Pairs in Tweet in G4:
[74] thereâ,evidence
[74] evidence,pets
[71] #covid19,outbreak
[67] during,#covid19
[66] worried,pet
[66] pet,during
[66] outbreak,thereâ
[66] pets,sick
[66] sick,virus
[66] virus,spread

Top Word Pairs in Tweet in G5:
[236] ãƒ,ãƒ
[99] #covid19,#sarscov2
[84] ø,ø
[80] æœ,æ
[80] #sarscov2,#hcov19
[78] nextstrain,æœ
[78] çš,æ
[78] æ,ãƒ
[78] ãƒ,トã
[78] æ,ÿè

Top Word Pairs in Tweet in G6:
[47] preliminary,investigations
[47] investigations,conducted
[47] conducted,chinese
[47] chinese,authorities
[47] authorities,found
[47] found,clear
[47] clear,evidence
[47] evidence,human
[47] human,human
[47] human,transmission

Top Word Pairs in Tweet in G7:
[69] segãºn,gobierno
[69] gobierno,nuestro
[69] nuestro,paã
[69] paã,26
[69] 26,muertos
[69] muertos,segãºn
[69] segãºn,infome
[69] infome,global
[69] global,covid
[69] covid,19

Top Word Pairs in Tweet in G8:
[594] ì,ì
[495] ë,ì
[297] ë,ë
[297] ê,ì
[198] ê,ë
[198] ì,ê
[198] ì,ë
[99] ì,ˆë
[99] ˆë,ì
[99] ì,œì

Top Word Pairs in Tweet in G10:
[55] cdc,numbers
[55] numbers,updated
[55] updated,day
[55] day,pm
[55] pm,open
[55] open,businesses
[54] sidneypowell1,cdc
[54] businesses,andâ
[27] ðÿœ,co
[27] co,j6gtajtdjm

Top Replied-To
Top Replied-To in Entire Graph:
@cdcgov
@ncov_frens
@cctip_io
@ncov_madeinch
@heart021485
@lrdsbernadette_
@mattirante
@jenesaisdiq
@firefoxx66
@chrismurphyct

Top Replied-To in G1:
@glamelegance

Top Replied-To in G2:

Top Replied-To in G4:
@cdcgov
@drmattmccarthy
@spursfan1060
@gerryconnolly
@falconi_md

Top Replied-To in G6:
@ayesha_mattu
@bkmikesell
@whohd
@who

Top Replied-To in G7:
@spitta1969
@ginesggarcia
@teveradiomiami

Top Replied-To in G9:
@gigibuddapdx
@merry_hippie

Top Replied-To in G10:
@tedcruz

Top Mentioned
Top Mentioned in Entire Graph:
@realdonaldtrump
@mph_for_doctors
@cdcgov
@nextstrain
@vilnim
@who
@fengjun_zhang
@capcentral
@fao

Top Mentioned in G1:
@realdonaldtrump
@yackydoodledndy
@cosweda

Top Mentioned in G2:
@coronavirush24

Top Mentioned in G3:
@mph_for_doctors
@hakuhonitudora3
@totb1984
@hoozuki_44

Top Mentioned in G4:
@cdcgov
@hhsgov
@usembassytokyo
@hhs_ash
@realdonaldtrump
@usarmyeurope
@ghs
@mayoclinic
@niosh

Top Mentioned in G5:
@nextstrain
@fengjun_zhang
@gisaid
@giga_uliege
@kyobinkang
@minkyuxyz
@caddeproject
@nmrfaria

Top Mentioned in G6:
@who
@aabhas24
@drtedros
@doctorsoumya
@narendramodi
@umojawamataifa
@pmoindia
@kvijayraghavan
@ashutos61
@cdcgov

Top Mentioned in G7:
@capcentral
@spitta1969
@segregustavo
@qsjose
@teveradiomiami

Top Mentioned in G8:
@vilnim

Top Mentioned in G9:
@lou_bruette
@patriqt_1776
@42gnome
@franjerkington
@gpoopon
@dogsbcool
@watsupwitthatms
@mrfly187
@jdd2169
@jdw714

Top Mentioned in G10:
@sidneypowell1
@scavino45
@realdonaldtrump
@tuckercarlson
@potus
@devinnunes
@ingrahamangle
@cdcgov

Top Tweeters
Top Tweeters in Entire Graph:
@kakusan_rt
@tomthunkitsmind
@detikcom
@pln_123
@telesurtv
@as_sakimori
@solutioneer72
@isecretx_
@machi_usagi
@insdatainter

Top Tweeters in G1:
@insdatainter
@monty_chadha
@lovecovfefe2020
@princessbibirf_
@jetrotter
@chris11962
@aliatra1968
@paynej247
@lindasuhler
@wtpatty

Top Tweeters in G2:
@clowchan
@mint_blancmanch
@mrk3692
@terryjmcmurray
@nightietime
@cdnnow
@desesparimusic
@loveforall24
@politacs7
@kuro_yanagi

Top Tweeters in G3:
@as_sakimori
@reichi062
@miyudesuyo
@ishida5235
@takawata19
@kazooooya
@mtcedar1972
@kirikami
@namunohi
@on_your_mark

Top Tweeters in G4:
@k1a1zzz
@protestmusica
@nytimes
@wadakashiho
@zephyorg
@nomoreslaves
@chocoemon8
@girlywolfpup
@nancytheswimmer
@jhaamit91

Top Tweeters in G5:
@portero76
@_saika_
@uribex
@dreifarbige_cat
@urushizawa_t
@lebesgue2718
@maritake1
@paulosaelias
@m_k_yamada
@piyokochee

Top Tweeters in G6:
@corrcomm
@james_thorburn
@libyaliberty
@chaitoo154
@jpulasaria
@rajboni
@lucyknows1
@congicrooks
@dayflor8
@hal4

Top Tweeters in G7:
@gteresitasv
@soledadranieri
@gracielagallega
@mariadelmonton
@charitocuerva
@marcentini
@opeerre
@serbarthol
@eduardovenosi
@bea58975803

Top Tweeters in G8:
@_hekiru
@turkeyfiend
@7dlsdud7
@putsipim
@moer_u
@dokydokky
@saerom07
@kusattagreent
@woojinlee21
@qawsedrf1976

Top Tweeters in G9:
@rickysi16087724
@vickie627
@simon_r_katz
@42gnome
@patpet1776
@mrfly187
@mongo3804
@rpcovit
@tourguidej
@spacialk3

Top Tweeters in G10:
@shirleyringuet5
@kknath26
@lalauraru777
@sylvesterbrenda
@anthemrespect
@chass2008
@howanice
@albaveritas
@tamaraleigh_llc
@biy2c


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