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NCoV_2020-05-14_02-59-52.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
May 15, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2z1F5rZ
@cdcgov
@saludpublicaes
@naattuvarthakal
@sanidadgob
@who
@senwarren
@colinallredtx
@flutrackers
@trvrb
@aurora_313poet

Top hashtags:
#covid19
#新型コロナウイルス
#coronavirus
#ccpvirus
#생활속거리두기
#covidー19
#新型コロナウイルス感染症
#covid
#ncov
#고속버스

Description:
Description
The graph represents a network of 5,217 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 Thursday, 14 May 2020 at 10:01 UTC.

The requested start date was Thursday, 14 May 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, 10-hour, 39-minute period from Tuesday, 12 May 2020 at 01:48 UTC to Wednesday, 13 May 2020 at 12:27 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 : 5217
Unique Edges : 2037
Edges With Duplicates : 8278
Total Edges : 10315
Number of Edge Types : 5
Tweet : 944
Retweet : 3866
MentionsInRetweet : 4374
Replies to : 331
Mentions : 800
Self-Loops : 965
Reciprocated Vertex Pair Ratio : 0.00611745513866232
Reciprocated Edge Ratio : 0.0121605188488042
Connected Components : 878
Single-Vertex Connected Components : 374
Maximum Vertices in a Connected Component : 1425
Maximum Edges in a Connected Component : 3607
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.413006
Graph Density : 0.000181317918884816
Modularity : 0.495007
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,217 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 Thursday, 14 May 2020 at 10:01 UTC.

The requested start date was Thursday, 14 May 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, 10-hour, 39-minute period from Tuesday, 12 May 2020 at 01:48 UTC to Wednesday, 13 May 2020 at 12:27 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:
[348] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/essential-goods-services.html
[108] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_103_COVID-19.pdf
[100] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_104_COVID-19.pdf
[94] http://ncov.mohw.go.kr/guidelineView.do?brdId=6&brdGubun=62&dataGubun=&ncvContSeq=2154&contSeq=2154&board_id=&gubun=
[69] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[58] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[44] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[28] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[22] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_102_COVID-19.pdf

Top URLs in Tweet in G1:
[333] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/essential-goods-services.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/care-for-someone.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/animals.html
[5] https://txdshs.maps.arcgis.com/apps/opsdashboard/index.html#/ed483ecd702b4298ab01e8b9cafc8b83
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/reopen-guidance.html

Top URLs in Tweet in G2:
[97] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_103_COVID-19.pdf
[85] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_104_COVID-19.pdf
[11] https://cnecovid.isciii.es/covid19/
[10] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_102_COVID-19.pdf
[9] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/030520_GUIA_COMPRA_MASCARILLAS.pdf
[8] https://covid19.isciii.es:443/
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_Preguntas_y_respuestas_plan_nueva_normalidad.pdf
[3] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_103_COVID-19.pdf
[3] https://www.mscbs.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_102_COVID-19.pdf

Top URLs in Tweet in G3:
[20] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[10] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_104_COVID-19.pdf
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_103_COVID-19.pdf
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[4] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[4] https://www.lci.fr/population/coronavirus-covid-19-ncov-pandemie-la-france-se-deconfine-10-images-qui-ont-marque-cette-journee-2153511.html
[4] https://www.city.machida.tokyo.jp/iryo/hokenjo/news/about-2019-ncov/number_of_infected.html

Top URLs in Tweet in G4:
[41] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/handanshihyo.html

Top URLs in Tweet in G5:
[3] https://twitter.com/ezralevant/status/1260219453368918020
[1] https://www.theglobeandmail.com/world/article-national-research-council-strikes-deal-with-china-to-develop-test

Top URLs in Tweet in G6:
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_102_COVID-19.pdf

Top URLs in Tweet in G7:
[9] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/brazil-covid-19/825769-brazil-covid-19-cases-and-news-168-331-cases-and-11-519-deaths/page14#post859868
[7] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/canada-2019-ncov/833893-canada-total-country-covid-19-69-981-cases-and-4-993-deaths%C2%A0#post859888
[7] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/connecticut-covid-19/859875-3-children-being-treated-at-yale-new-haven-for-covid-19-related-illness
[7] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/mexico-covid-19/832072-mexico-covid-19-cases-and-news-38-324-cases-and-3-926-deaths/page6#post860193
[5] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/texas-covid-19/834039-texas-covid-19-cases-41-048-cases-1-133-deaths/page8#post860175
[5] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[4] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/mexico-covid-19/832072-mexico-covid-19-cases-and-news-36-327-cases-and-3-537-deaths/page6#post859889
[4] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/washington-covid-19/823619-washington-state-covid-19-cases-and-news-17-330-cases-962-deaths/page19#post860190
[4] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/georgia-covid-19-aa/833182-georgia-covid-19-cases-34-848-cases-1-494-deaths/page11#post860185
[4] https://apps.who.int/iris/bitstream/handle/10665/331215/WHO-2019-nCov-IPCPPE_use-2020.1-eng.pdf

Top URLs in Tweet in G9:
[14] https://www.mhlw.go.jp/stf/newpage_11249.html
[6] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[4] https://www.pref.hiroshima.lg.jp/site/2019-ncov/people-flow.html
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#m01-03
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/covid19-level-change.html
[1] https://twitter.com/MHLWitter/status/1260116549177798656
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/list-2.html

Top URLs in Tweet in G10:
[4] https://nextstrain.org/ncov
[2] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-05-08
[2] https://nextstrain.org/ncov/global
[1] https://nextstrain.org/ncov/north-america?c=division&f_country=USA&r=division
[1] https://nextstrain.org/narratives/ncov/sit-rep/ko/2020-05-08
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-05-08?f_region=Asia
[1] https://nextstrain.org/narratives/ncov/sit-rep/pt/2020-05-08?f_region=Asia
[1] https://nextstrain.org/narratives/ncov/sit-rep/pt/2020-05-01
[1] https://nextstrain.org/narratives/ncov/sit-rep/zh/2020-05-08
[1] http://clingen.igib.res.in/genepi/phylovis/

Top Domains
Top Domains in Tweet in Entire Graph:
[841] cdc.gov
[332] gob.es
[112] go.kr
[82] flutrackers.com
[77] ibaraki.jp
[66] twitter.com
[64] lg.jp
[57] who.int
[52] go.jp
[39] nextstrain.org

Top Domains in Tweet in G1:
[440] cdc.gov
[17] bit.ly
[5] arcgis.com
[3] twitter.com
[2] usa.gov
[2] hhs.gov
[2] zoom.us
[1] fao.org
[1] mass.gov
[1] ow.ly

Top Domains in Tweet in G2:
[229] gob.es
[20] isciii.es
[5] gencat.cat
[1] astursalud.es
[1] cdc.gov

Top Domains in Tweet in G3:
[96] cdc.gov
[30] gob.es
[27] nytimes.com
[26] twitter.com
[25] ibaraki.jp
[20] lg.jp
[12] go.jp
[12] go.kr
[10] who.int
[7] arcgis.com

Top Domains in Tweet in G4:
[42] ibaraki.jp

Top Domains in Tweet in G5:
[3] twitter.com
[1] theglobeandmail.com

Top Domains in Tweet in G6:
[1] gob.es

Top Domains in Tweet in G7:
[79] flutrackers.com
[14] who.int
[10] cdc.gov
[3] twitter.com
[1] blogspot.com
[1] nih.gov
[1] gob.es

Top Domains in Tweet in G9:
[14] lg.jp
[14] go.jp
[1] twitter.com

Top Domains in Tweet in G10:
[14] nextstrain.org
[1] res.in
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1445] covid19
[355] 新型コロナウイルス
[224] coronavirus
[125] ccpvirus
[94] 생활속거리두기
[87] covidー19
[85] 新型コロナウイルス感染症
[83] covid
[49] ncov
[46] 고속버스



Top Hashtags in Tweet in G1:
[624] covid19
[9] mentalillness
[9] mentalhealth
[7] bekindtoyourmind
[6] parents
[5] covidview
[5] coronavirus
[5] covid19tx
[4] worldhandhygieneday
[4] coid19

Top Hashtags in Tweet in G2:
[425] covid19
[80] covidー19
[18] estevirusloparamosunidos
[10] coronavirus
[6] profesionales
[6] mascarillas
[2] mijas
[2] españa
[2] salut
[2] laboral

Top Hashtags in Tweet in G3:
[45] covid19
[26] coronavirus
[17] ncov
[16] covid
[14] covid_19
[12] corona
[8] wuhanvirus
[7] chinavirus
[6] virus
[5] ncov2019

Top Hashtags in Tweet in G4:
[335] 新型コロナウイルス
[12] 家で過ごそう
[12] stayhome

Top Hashtags in Tweet in G5:
[7] 트루도

Top Hashtags in Tweet in G7:
[80] coronavirus
[13] covid19
[3] sarscov2
[2] corona
[2] coronacrisis
[2] wuhan
[2] coronavirusoutbreak
[2] coronaviruschina
[2] coronaviruswho
[2] coronavirusindia

Top Hashtags in Tweet in G8:
[124] ccpvirus

Top Hashtags in Tweet in G9:
[85] 新型コロナウイルス感染症
[1] 広島県
[1] 新型コロナウイルス
[1] 手洗いの徹底

Top Hashtags in Tweet in G10:
[26] covid19
[14] sarscov2
[7] india
[5] opendata
[5] hcov19
[4] diversity
[3] genomes

Top Words
Top Words in Tweet in Entire Graph:
[1422] Words in Sentiment List#1: Positive
[1975] Words in Sentiment List#2: Negative
[7] Words in Sentiment List#3: Angry/Violent
[100541] Non-categorized Words
[103938] Total Words
[1441] #covid19
[1170] ncov
[679] cdcgov
[531] datos
[458] españa

Top Words in Tweet in G1:
[648] cdcgov
[624] #covid19
[369] protect
[358] others
[356] yourself
[345] video
[333] shows
[331] shopping
[159] face
[148] covering

Top Words in Tweet in G2:
[496] datos
[425] españa
[425] #covid19
[273] sanidadgob
[249] confirmados
[248] actualizados
[248] pcr
[247] hoy
[241] mayo
[237] inicial

Top Words in Tweet in G3:
[199] ncov
[81] coronavirus
[78] 2019
[68] covid
[67] 19
[51] sa
[49] 2020
[45] #covid19
[34] ng
[32] 12

Top Words in Tweet in G4:
[335] #新型コロナウイルス
[335] 感染症情報
[335] 本日も
[335] 県内での新たな新型コロナウイルス感染症患者は確認されませんでした
[331] ibaraki_kouhou
[325] また
[325] pcr検査の結果
[182] 県ホームページでご確認ください
[181] 詳しくは
[171] 5月12日

Top Words in Tweet in G5:
[283] ad5
[276] ncov
[275] ezralevant
[275] military
[275] virus
[275] vaccine
[274] danger
[274] justin
[274] trudeau
[274] invited

Top Words in Tweet in G6:
[162] в
[159] меня
[159] страшно
[159] возмущает
[159] ложь
[159] про
[159] низкую
[159] летальность
[159] россии
[159] от

Top Words in Tweet in G7:
[94] flutrackers
[93] cases
[80] #coronavirus
[69] deaths
[54] covid
[52] 19
[36] human
[28] china
[23] california
[21] transmission

Top Words in Tweet in G8:
[124] #ccpvirus
[124] 从sars开始
[124] 每逢重大传染病疫情发生
[124] 诸如h1n1
[124] h3n2
[124] h7n9
[124] mers
[124] 直到2019
[124] ncov
[124] 都被同一个人的同一种药一网打尽

Top Words in Tweet in G9:
[167] hiroshima_pref
[85] #新型コロナウイルス感染症
[64] 5月11日検査結果判明分までの患者の推移
[57] 県内の
[57] の状況
[55] 累計
[55] 各日の発生数
[42] 5月10日検査結果判明分までの患者の推移
[39] 増減率は1月下旬
[39] r2年1

Top Words in Tweet in G10:
[54] genomes
[50] cases
[48] trvrb
[48] shows
[47] analysis
[47] relationships
[47] sequencing
[47] viral
[47] main
[47] thing

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[413] datos,#covid19
[379] covid,19
[379] protect,yourself
[371] yourself,others
[362] 2019,ncov
[350] #covid19,españa
[348] others,#covid19
[342] cdcgov,protect
[342] #covid19,shopping
[342] shopping,video

Top Word Pairs in Tweet in G1:
[345] protect,yourself
[343] yourself,others
[329] cdcgov,protect
[329] others,#covid19
[329] #covid19,shopping
[329] shopping,video
[329] video,shows
[148] face,covering
[139] cloth,face
[99] spread,#covid19

Top Word Pairs in Tweet in G2:
[406] datos,#covid19
[343] #covid19,españa
[246] confirmados,pcr
[241] actualizados,hoy
[239] mayo,confirmados
[236] primer,caso
[236] caso,inicial
[236] inicial,actualizados
[234] pcr,228
[233] españa,primer

Top Word Pairs in Tweet in G3:
[70] 2019,ncov
[59] covid,19
[36] coronavirus,2019
[15] 12,2020
[13] york,times
[12] sa,ncov
[11] ng,ncov
[11] sars,cov
[11] 感染者の発生状況及び報道発表資料など新型コロナ情報まとめ,茨城県
[10] coronavirus,covid

Top Word Pairs in Tweet in G4:
[335] #新型コロナウイルス,感染症情報
[335] 本日も,県内での新たな新型コロナウイルス感染症患者は確認されませんでした
[331] ibaraki_kouhou,#新型コロナウイルス
[325] 県内での新たな新型コロナウイルス感染症患者は確認されませんでした,また
[325] また,pcr検査の結果
[181] 詳しくは,県ホームページでご確認ください
[171] 感染症情報,5月12日
[171] 5月12日,本日も
[171] pcr検査の結果,退院を含め5名の方の陰性化が確認されました
[171] 退院を含め5名の方の陰性化が確認されました,詳しくは

Top Word Pairs in Tweet in G5:
[276] ad5,ncov
[274] danger,justin
[274] justin,trudeau
[274] trudeau,invited
[274] invited,chinese
[274] chinese,military
[274] military,test
[274] test,virus
[274] virus,vaccine
[274] vaccine,called

Top Word Pairs in Tweet in G6:
[159] меня,страшно
[159] страшно,возмущает
[159] возмущает,ложь
[159] ложь,про
[159] про,низкую
[159] низкую,летальность
[159] летальность,в
[159] в,россии
[159] россии,от
[159] от,2019

Top Word Pairs in Tweet in G7:
[52] covid,19
[28] 19,cases
[20] flutrackers,california
[20] chinese,authorities
[18] ronankelly13,#coronavirus
[18] preliminary,investigations
[18] investigations,conducted
[18] conducted,chinese
[18] authorities,found
[18] found,clear

Top Word Pairs in Tweet in G8:
[124] #ccpvirus,从sars开始
[124] 从sars开始,每逢重大传染病疫情发生
[124] 每逢重大传染病疫情发生,诸如h1n1
[124] 诸如h1n1,h3n2
[124] h3n2,h7n9
[124] h7n9,mers
[124] mers,直到2019
[124] 直到2019,ncov
[124] ncov,都被同一个人的同一种药一网打尽
[124] 都被同一个人的同一种药一网打尽,但凡有点儿医学常识的人都会知道这要么是一个神迹

Top Word Pairs in Tweet in G9:
[57] 県内の,#新型コロナウイルス感染症
[57] #新型コロナウイルス感染症,の状況
[53] hiroshima_pref,県内の
[39] 増減率は1月下旬,r2年1
[39] r2年1,25
[39] 25,土
[39] 土,から31
[39] から31,金
[39] 金,の一週間
[39] の一週間,との比較を示しています

Top Word Pairs in Tweet in G10:
[47] analysis,shows
[47] shows,relationships
[47] relationships,sequencing
[47] sequencing,viral
[47] viral,genomes
[47] genomes,main
[47] main,thing
[47] thing,pay
[47] pay,attention
[47] attention,cases

Top Replied-To
Top Replied-To in Entire Graph:
@mirandadevine
@eldiarioes
@govandybeshear
@bb45_colorado
@796qap
@who
@f1_noe
@sandiegocounty
@thomasdnordquis
@mkeulemans

Top Replied-To in G1:
@swax1
@hyattathomeki
@evilmammoth
@cdcgov

Top Replied-To in G2:
@edominguezmunoz
@antoniofse
@sanidadgob

Top Replied-To in G5:
@ezralevant

Top Replied-To in G6:
@nenasheva_mira

Top Replied-To in G7:
@who
@facua
@alxhsa45
@davidst14064897
@b_cbs_brown
@marci_2017
@shellebellah
@patprzy1
@andybull2012
@oul_man

Top Replied-To in G10:
@gbrc_gujarat
@imokedoke
@izziebettz2

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@ibaraki_kouhou
@ezralevant
@sanidadgob
@saludpublicaes
@hiroshima_pref
@dranastasy
@kitty_yanli
@flutrackers
@hellopolicy

Top Mentioned in G1:
@cdcgov
@cdcemergency
@hhsgov
@readygov
@google
@cdcdirector
@niosh
@pastoralist1
@ssnich
@fema

Top Mentioned in G2:
@sanidadgob
@saludpublicaes
@salutcat
@dgobiernocv
@ingesa_melilla
@fomenttreball
@belenpadi
@astursalud
@melillagobierno
@fomentprl

Top Mentioned in G3:
@_kazumasa_
@drastichs
@valle_grande_
@waikikigigi
@shilkumarln
@albertfiorino

Top Mentioned in G4:
@ibaraki_kouhou
@ibk44

Top Mentioned in G5:
@ezralevant
@sidney_w_c
@canadianpaprika

Top Mentioned in G6:
@dranastasy
@navalny

Top Mentioned in G7:
@flutrackers
@who
@ronankelly13
@mbeltran
@cnn
@facua
@cdcgov
@mohfw_india
@jorismeys
@idiazayuso

Top Mentioned in G8:
@kitty_yanli

Top Mentioned in G9:
@hiroshima_pref

Top Mentioned in G10:
@trvrb
@nextstrain
@gisaid
@vinodscaria
@gbrc_gujarat
@bani_jolly
@fengjun_zhang
@civilhospamd
@glauciomarcos
@cdcgov

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@hjlv2378
@wkwkrnht
@sagaminoriaki
@lopezgovlaw
@souljahsingh
@kogemayo
@llemj
@klm
@sinembargomx

Top Tweeters in G1:
@padakitty
@pickooo
@sandi_childs
@jayoung1892
@protestmusica
@blackswan725
@katelynisviolet
@nooneishere51
@caravaggio12
@coachweaver3

Top Tweeters in G2:
@chusina5
@romecaldes
@demiurgotuiter
@marsais_
@carol_raval
@tartiereazul
@antgalan
@mmr_ax
@peibol__
@guzmanpepa

Top Tweeters in G3:
@edira2
@godandthebear
@medical_news_j
@type_ao
@8000yo
@jp_kenchan_dayo
@hatoincident
@tourirui_shonan
@crwriter1
@omgoa_dot_com

Top Tweeters in G4:
@himagine_no9
@jun_84
@takakura1982
@nu_wacky
@kanna07409
@muyu1990
@heddongibson
@noel_hasui
@k0bakatsu
@kukucoo

Top Tweeters in G5:
@souljahsingh
@tahdeetz
@vjeannek
@tyrelle123
@jali_cat
@blackirishi
@inlikea_lion
@sanjays00663282
@nikkudix
@mckinleyfr

Top Tweeters in G6:
@sonrazyma
@xaaks
@marusianadia
@lossuda
@nechepur666
@brigitagrohman
@petr_evdokimov
@yukio7512
@hy_u_hy
@maltseva5

Top Tweeters in G7:
@ungubunugu1274
@cblazblaz
@scout2462
@sharon_lynch
@forgerat
@cnn
@wholefoods
@queenmsheba
@lulabelldesigns
@bracing

Top Tweeters in G8:
@frank29650703
@ldwlnwhmadyxnfl
@linschwartz123
@shanghaidc
@jkjoerg123
@lliviali0803
@waxili284
@junyan79228466
@ont1a9oqlrx43bv
@ilikefreedomfly

Top Tweeters in G9:
@kb_hata101
@gonchan55555
@tanimoshinden
@carpbanshi
@takanasiayame
@tiki_pun
@umelao
@kawamomi53
@tailtame
@minamo16

Top Tweeters in G10:
@tigerbeat
@frlarousse2
@antarianrani
@njdoc
@ambeautifulshow
@1feralkat
@freespeechlover
@dollymad1812
@james_savage15
@hikyaku