NCoV, Twitter, 1/17/2021 3:35:55 PM, 245843


FAQ | Problem?

NCoV_2021-01-17_01-30-01.xlsx
NCoV_2021-01-17_01-30-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 17, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3bKVdyT
@ibaraki_kouhou
@cdcgov
@invesdoctor
@kenmomd
@norikimu
@punk_cat_
@who
@kerorrin
@revmikemenkes
@jljcolorado

Top hashtags:
#covid19
#新型コロナウイルス
#いばらきアマビエちゃん
#coronavirus
#wearamask
#新型コロナ
#sarscov2
#covid
#茨城県
#ncov

Description:
Description
The graph represents a network of 7,254 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 Sunday, 17 January 2021 at 10:09 UTC.

The requested start date was Sunday, 17 January 2021 at 01:01 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 2-day, 11-hour, 59-minute period from Wednesday, 13 January 2021 at 01:56 UTC to Friday, 15 January 2021 at 13:55 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 : 7254
Unique Edges : 2082
Edges With Duplicates : 13699
Total Edges : 15781
Number of Edge Types : 5
Retweet : 6305
MentionsInRetweet : 7018
Mentions : 1112
Tweet : 926
Replies to : 420
Self-Loops : 937
Reciprocated Vertex Pair Ratio : 0.00374583795782464
Reciprocated Edge Ratio : 0.00746371803731859
Connected Components : 772
Single-Vertex Connected Components : 332
Maximum Vertices in a Connected Component : 5097
Maximum Edges in a Connected Component : 12740
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.395589
Graph Density : 0.000137512857499693
Modularity : 0.448917
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,254 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 Sunday, 17 January 2021 at 10:09 UTC.

The requested start date was Sunday, 17 January 2021 at 01:01 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 2-day, 11-hour, 59-minute period from Wednesday, 13 January 2021 at 01:56 UTC to Friday, 15 January 2021 at 13:55 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:
[1131] http://akkie.mods.jp/2019-nCoV/%E6%96%B0%E5%9E%8B%E3%82%B3%E3%83%AD%E3%83%8A%E3%83%AF%E3%82%AF%E3%83%81%E3%83%B3%E3%81%BE%E3%81%A8%E3%82%81%EF%BC%88%E5%8C%BB%E7%99%82%E5%BE%93%E4%BA%8B%E8%80%85%E5%90%91%E3%81%91%EF%BC%89
[111] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kaiken.html
[97] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[84] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[56] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[55] https://nextstrain.org/ncov/south-america
[50] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[27] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_289_COVID-19.pdf
[27] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210112.pdf
[23] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kinkyujitaisengen.html

Top URLs in Tweet in G1:
[98] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kaiken.html
[44] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210113_shiryoteikyo.pdf
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210112_kaiken.html
[4] http://www.pref.ibaraki.jp.cache.yimg.jp/1saigai/2019-ncov/index.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kinkyujitaisengen.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kinkyujitaisengen.html#sochi2
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/nenmatsu_nenshi.html

Top URLs in Tweet in G2:
[1115] http://akkie.mods.jp/2019-nCoV/%E6%96%B0%E5%9E%8B%E3%82%B3%E3%83%AD%E3%83%8A%E3%83%AF%E3%82%AF%E3%83%81%E3%83%B3%E3%81%BE%E3%81%A8%E3%82%81%EF%BC%88%E5%8C%BB%E7%99%82%E5%BE%93%E4%BA%8B%E8%80%85%E5%90%91%E3%81%91%EF%BC%89
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/8-things.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[1] https://nextstrain.org/groups/neherlab/ncov/sweden?c=clade_membership&f_country=Sweden&r=division
[1] https://twitter.com/CovidXIX/status/1348963504888414208
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9878-487d03.html
[1] https://www.kansensho.or.jp/uploads/files/topics/2019ncov/covid19_kensakekka_201012.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html

Top URLs in Tweet in G3:
[14] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[11] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210112.pdf
[10] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_289_COVID-19.pdf
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafe.html
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_288_COVID-19.pdf
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/participate-in-activities.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html

Top URLs in Tweet in G4:
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/RECOMENDACIONES_USO_SEGURO_VACUNAS_COVID19.pdf
[4] https://apps.who.int/iris/bitstream/handle/10665/338481/WHO-2019-nCoV-IPC_long_term_care-2021.1-eng.pdf
[1] https://www.jamda.com/article/S1525-8610(20)30663-0/fulltext
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2932661-1%2Ffulltext&rc=0
[1] https://tweetedtimes.com/v/1665?s=tnp
[1] https://tweetedtimes.com/v/22267?s=tnp
[1] https://twitter.com/WHO/status/1217043229427761152
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-elections-2020-1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-BNT162b2-2021.1

Top URLs in Tweet in G5:
[20] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[17] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[11] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kaiken.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kinkyujitaisengen.html
[6] https://systems.jhu.edu/research/public-health/ncov/
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html
[4] https://nextstrain.org/ncov/global
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10114-covid19-ab20th.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G6:
[19] https://cov-lineages.org/
[13] https://nextstrain.org/ncov
[6] https://nextstrain.org/ncov/europe
[4] https://nextstrain.org/ncov/africa
[3] https://nextstrain.org/ncov/north-america
[3] https://nextstrain.org/ncov/oceania
[3] https://nextstrain.org/ncov/south-america
[3] https://nextstrain.org/ncov/asia
[2] https://www.rki.de/covid-19
[2] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/quarantine.html

Top URLs in Tweet in G7:
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html

Top URLs in Tweet in G8:
[10] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[2] https://nextstrain.org/groups/neherlab/ncov/S.E484?c=region&f_clade_membership=20B/S.484K,20J/501Y.V3&label=clade:20B/S.484K&p=grid&r=country
[1] https://twitter.com/firefoxx66/status/1349763035796267008
[1] https://nextstrain.org/groups/neherlab/ncov/S.E484?p=grid
[1] https://nextstrain.org/groups/neherlab/ncov/S.N501?c=gt-S_501,69&p=grid&r=country
[1] https://nextstrain.org/groups/neherlab/ncov/S.E484K?c=gt-S_484
[1] https://translate.google.com/translate?sl=ja&tl=en&u=https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[1] https://nextstrain.org/groups/neherlab/ncov/S.N501
[1] https://nextstrain.org/ncov/south-america?label=clade:20B&r=division
[1] https://twitter.com/nextstrain/status/1349438489549438976

Top URLs in Tweet in G9:
[52] https://nextstrain.org/ncov/south-america
[25] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[23] https://twitter.com/firefoxx66/status/1349449704153772038
[7] https://nextstrain.org/ncov/asia?c=subclade_membership&f_country=Japan&f_region=Asia
[4] https://twitter.com/kenmomd/status/1337914125159034881
[3] https://www.pref.chiba.lg.jp/eishi/ncov-hotel.html
[3] https://www.stopcovid19.jp/#Chiba
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-air-travel.html
[2] https://nextstrain.org/ncov/asia?f_country=Japan&lang=ja
[2] http://akkie.mods.jp/2019-nCoV/%E6%96%B0%E5%9E%8B%E3%82%B3%E3%83%AD%E3%83%8A%E3%83%AF%E3%82%AF%E3%83%81%E3%83%B3%E3%81%BE%E3%81%A8%E3%82%81%EF%BC%88%E5%8C%BB%E7%99%82%E5%BE%93%E4%BA%8B%E8%80%85%E5%90%91%E3%81%91%EF%BC%89

Top URLs in Tweet in G10:
[55] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/about-epidemiology/identifying-source-outbreak.html#:~:text=Pandemic%3A%20Event%20in%20which,large%20number%20of%20people
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1136] mods.jp
[757] cdc.gov
[282] ibaraki.jp
[146] nextstrain.org
[136] gob.es
[119] go.jp
[113] twitter.com
[105] lg.jp
[52] recombinomics.co
[29] who.int

Top Domains in Tweet in G1:
[180] ibaraki.jp
[7] twitter.com
[4] yimg.jp
[4] co.jp
[2] mods.jp
[1] lg.jp

Top Domains in Tweet in G2:
[1115] mods.jp
[16] cdc.gov
[2] go.jp
[1] nextstrain.org
[1] twitter.com
[1] or.jp

Top Domains in Tweet in G3:
[120] cdc.gov
[53] gob.es
[7] twitter.com
[4] bit.ly
[4] navarra.es
[2] cms.gov
[2] rki.de
[1] mscbs.es
[1] who.int
[1] elsevierhealth.com

Top Domains in Tweet in G4:
[6] who.int
[6] gob.es
[2] tweetedtimes.com
[1] jamda.com
[1] elsevierhealth.com
[1] twitter.com

Top Domains in Tweet in G5:
[145] cdc.gov
[51] recombinomics.co
[35] ibaraki.jp
[34] go.jp
[25] twitter.com
[17] lg.jp
[13] gob.es
[8] go.kr
[8] gencat.cat
[6] mods.jp

Top Domains in Tweet in G6:
[43] nextstrain.org
[20] cov-lineages.org
[3] virological.org
[3] cdc.gov
[3] twitter.com
[2] rki.de
[2] go.jp
[1] medrxiv.org
[1] mods.jp
[1] rivm.nl

Top Domains in Tweet in G7:
[1] cdc.gov

Top Domains in Tweet in G8:
[16] nextstrain.org
[12] cdc.gov
[4] twitter.com
[1] google.com
[1] virological.org

Top Domains in Tweet in G9:
[61] nextstrain.org
[27] twitter.com
[25] go.jp
[5] cdc.gov
[3] lg.jp
[3] stopcovid19.jp
[2] mods.jp
[1] france24.com
[1] tokyo.jp

Top Domains in Tweet in G10:
[59] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[711] covid19
[516] 新型コロナウイルス
[355] いばらきアマビエちゃん
[68] coronavirus
[45] wearamask
[27] 新型コロナ
[23] sarscov2
[21] covid
[18] 茨城県
[17] ncov



Top Hashtags in Tweet in G1:
[493] 新型コロナウイルス
[349] いばらきアマビエちゃん
[11] 茨城県
[7] 守谷市新型コロナウイルス関連情報
[5] 守谷市
[2] 龍ケ崎
[2] 龍ケ崎市コロナ対策
[1] マスク
[1] うがい
[1] 手洗い

Top Hashtags in Tweet in G3:
[430] covid19
[17] wearamask
[14] coronavirus
[12] cuarentena
[9] covid
[7] vaccine
[6] slowthespread
[6] 코로나19
[4] parents
[4] pcr

Top Hashtags in Tweet in G4:
[5] coronavirus
[5] covid19
[4] wuhan
[4] china
[4] recursosdeinteréslibros
[3] ltc
[1] wuha
[1] ncov
[1] vietnam
[1] vtvdigital

Top Hashtags in Tweet in G5:
[49] covid19
[22] coronavirus
[12] outbreak
[7] ncov
[6] wearamask
[5] 新型コロナウイルス
[5] vaccine
[5] covid
[5] 茨城県
[4] blacklivesmatter

Top Hashtags in Tweet in G6:
[14] covid19
[13] opendata
[13] sarscov2
[3] coronavirus
[2] virologynimhans
[2] nextstrain
[2] cartographie
[2] opensource
[1] pathwest
[1] bcsir

Top Hashtags in Tweet in G8:
[2] b117

Top Hashtags in Tweet in G9:
[1] 新型コロナウイルス
[1] いばらきアマビエちゃん
[1] 練馬区
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[2158] ibaraki_kouhou
[1248] human
[1246] 新型コロナウイルスの感染が拡大していることから
[1246] 県独自の
[1246] 緊急事態宣言
[1237] 県独自の緊急事態宣言を発令
[1237] を発令しました
[1237] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など
[1237] 県民の皆さまのご協力をお願いします
[1127] 医療従事者向け

Top Words in Tweet in G1:
[2129] ibaraki_kouhou
[1238] 新型コロナウイルスの感染が拡大していることから
[1238] 県独自の
[1238] 緊急事態宣言
[1229] 県独自の緊急事態宣言を発令
[1229] を発令しました
[1229] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など
[1229] 県民の皆さまのご協力をお願いします
[498] 引き続き
[493] #新型コロナウイルス

Top Words in Tweet in G2:
[1113] 医療従事者向け
[1111] 新型コロナウイルスワクチンのまとめ
[1111] 時間が無い人は
[1111] 要点だけで読めばよいです
[1111] 書いているのは
[1111] 感染症の世界で信頼できる医師です
[1110] invesdoctor
[16] cdc
[15] covid
[11] minesoh

Top Words in Tweet in G3:
[538] cdcgov
[430] #covid19
[217] getting
[191] help
[191] home
[184] keep
[182] air
[173] visitor
[170] repairperson
[170] combine

Top Words in Tweet in G4:
[1236] human
[624] investigations
[624] conducted
[623] chinese
[622] preliminary
[619] found
[619] clear
[619] evidence
[618] authorities
[618] transmission

Top Words in Tweet in G5:
[184] covid
[126] 19
[123] ncov
[100] 2019
[72] deaths
[68] cases
[54] increase
[52] inc
[51] recombinomics
[49] #covid19

Top Words in Tweet in G6:
[76] nextstrain
[59] gisaid
[47] nswhpathology
[43] westsydhealth
[43] sydney_uni
[37] univtunismanar
[36] wahealth
[35] mohpegypt
[34] clade
[33] 501y

Top Words in Tweet in G7:
[150] información
[150] consulten
[150] página
[150] nuestros
[150] centros
[150] control
[150] prevención
[150] enfermedades
[149] usambmex

Top Words in Tweet in G8:
[128] firefoxx66
[117] brazil
[102] 501y
[99] variant
[93] 20j
[89] manaus
[86] nextstrain
[86] clade
[84] predicted
[84] yesterday

Top Words in Tweet in G9:
[59] kenmomd
[55] 501y
[52] ブラジル
[52] マナウスで急増していることが確認された新たな変異の系統がnextstrain
[52] cladeで20j
[52] v3と命名され可視化される
[31] x__ok
[17] e484k
[15] 大変
[15] 日本でのブラジルからの帰国者から検出された新コロナ

Top Words in Tweet in G10:
[59] infection
[59] antibodies
[59] part
[59] body's
[59] immune
[59] response
[59] exposure
[59] virus
[59] itself
[59] such

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1246] 新型コロナウイルスの感染が拡大していることから,県独自の
[1246] 県独自の,緊急事態宣言
[1237] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから
[1237] 緊急事態宣言,を発令しました
[1237] を発令しました,県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など
[1237] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など,県民の皆さまのご協力をお願いします
[1234] ibaraki_kouhou,県独自の緊急事態宣言を発令
[1121] 医療従事者向け,新型コロナウイルスワクチンのまとめ
[1121] 新型コロナウイルスワクチンのまとめ,時間が無い人は
[1121] 時間が無い人は,要点だけで読めばよいです

Top Word Pairs in Tweet in G1:
[1238] 新型コロナウイルスの感染が拡大していることから,県独自の
[1238] 県独自の,緊急事態宣言
[1229] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから
[1229] 緊急事態宣言,を発令しました
[1229] を発令しました,県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など
[1229] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など,県民の皆さまのご協力をお願いします
[1226] ibaraki_kouhou,県独自の緊急事態宣言を発令
[487] #新型コロナウイルス,感染症情報
[487] うち重症者数,9人
[487] 9人,引き続き

Top Word Pairs in Tweet in G2:
[1111] 医療従事者向け,新型コロナウイルスワクチンのまとめ
[1111] 新型コロナウイルスワクチンのまとめ,時間が無い人は
[1111] 時間が無い人は,要点だけで読めばよいです
[1111] 要点だけで読めばよいです,書いているのは
[1111] 書いているのは,感染症の世界で信頼できる医師です
[1110] invesdoctor,医療従事者向け
[12] cdc,covid
[6] minesoh,cdc
[6] covid,19ワクチンについて知っておいてほしい8つのこと
[6] 19ワクチンについて知っておいてほしい8つのこと,本当によくまとまっている

Top Word Pairs in Tweet in G3:
[171] help,keep
[171] keep,getting
[170] repairperson,visitor
[170] visitor,home
[170] home,combine
[170] combine,fresh
[170] fresh,air
[170] air,measures
[170] measures,help
[169] cdcgov,repairperson

Top Word Pairs in Tweet in G4:
[624] investigations,conducted
[623] conducted,chinese
[622] preliminary,investigations
[619] found,clear
[619] clear,evidence
[618] chinese,authorities
[618] authorities,found
[618] evidence,human
[618] human,human
[618] human,transmission

Top Word Pairs in Tweet in G5:
[116] covid,19
[92] 2019,ncov
[51] cases,increase
[51] recombinomics,inc
[50] covid,cases
[50] ncov,recombinomics
[25] sars,cov
[15] 2021,01
[14] total,deaths
[13] #coronavirus,#covid19

Top Word Pairs in Tweet in G6:
[43] nswhpathology,westsydhealth
[43] westsydhealth,sydney_uni
[33] gisaid,mohpegypt
[33] mohpegypt,univtunismanar
[32] nextstrain,clade
[32] wahealth,esrnewzealand
[32] esrnewzealand,mathstorey
[32] mathstorey,joepdl
[32] nextstrain,gisaid
[31] univtunismanar,nswhpathology

Top Word Pairs in Tweet in G7:
[150] información,consulten
[150] consulten,página
[150] página,nuestros
[150] nuestros,centros
[150] centros,control
[150] control,prevención
[150] prevención,enfermedades
[149] usambmex,información

Top Word Pairs in Tweet in G8:
[93] 20j,501y
[88] manaus,brazil
[86] nextstrain,clade
[84] predicted,yesterday
[84] yesterday,variant
[84] variant,identified
[84] identified,manaus
[84] brazil,given
[84] given,nextstrain
[84] clade,name

Top Word Pairs in Tweet in G9:
[52] ブラジル,マナウスで急増していることが確認された新たな変異の系統がnextstrain
[52] マナウスで急増していることが確認された新たな変異の系統がnextstrain,cladeで20j
[52] cladeで20j,501y
[52] 501y,v3と命名され可視化される
[51] kenmomd,ブラジル
[15] 大変,日本でのブラジルからの帰国者から検出された新コロナ
[15] 日本でのブラジルからの帰国者から検出された新コロナ,e484k
[15] e484k,が
[15] が,ワクチンが効かない変異種である可能性があり世界の研究者らを震撼させているという
[15] ワクチンが効かない変異種である可能性があり世界の研究者らを震撼させているという,co

Top Word Pairs in Tweet in G10:
[59] antibodies,part
[59] part,body's
[59] body's,immune
[59] immune,response
[59] response,exposure
[59] exposure,virus
[59] virus,itself
[59] itself,such
[56] such,testing
[55] testing,used

Top Replied-To
Top Replied-To in Entire Graph:
@gisaid
@taoquei1
@z_mutoh
@fox35orlando
@cnbc
@byuoritter
@miamiherald
@chrisgiles_
@peachypuk
@govgianforte

Top Replied-To in G1:
@z_mutoh
@sayuri19770821

Top Replied-To in G2:
@you3_jp

Top Replied-To in G3:
@salud_na
@inthebubblepod
@aireuropa
@cdcgov
@susanamet

Top Replied-To in G4:
@mysticsrishti

Top Replied-To in G5:
@byuoritter

Top Replied-To in G6:
@gisaid
@geunsmeyer
@mjbeyeler

Top Replied-To in G8:
@_b_meyer
@docmoschos
@mharisman

Top Replied-To in G10:
@cnbc
@fox35orlando
@chrisgiles_
@miamiherald
@nypost
@nbc6
@wsj
@biancajagger
@mvankerkhove
@thehill

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@invesdoctor
@who
@cdcgov
@usambmex
@firefoxx66
@k_ooigawa
@saludpublicaes
@nextstrain
@sanidadgob

Top Mentioned in G1:
@ibaraki_kouhou
@k_ooigawa
@igarashitatsuo
@ryugasaki_city
@hitachiotacity
@mihovillage
@mutoh_z
@z_mutoh
@moriya_citypro
@blurmyu

Top Mentioned in G2:
@invesdoctor
@minesoh
@ibaraki_kouhou
@vaccinewatch
@tc_rheum
@you3_jp

Top Mentioned in G3:
@cdcgov
@saludpublicaes
@cdcespanol
@sanidadgob
@jljcolorado
@abraarkaran
@us_fda
@medlineplus
@cdc
@usembassyseoul

Top Mentioned in G4:
@who
@olatzprz
@aseanstrategic
@ryersonnia
@matiafundazioa
@nathanstall
@jack

Top Mentioned in G5:
@dadpv
@umi_yama_machi
@tsubtext

Top Mentioned in G6:
@nextstrain
@nswhpathology
@gisaid
@westsydhealth
@sydney_uni
@univtunismanar
@wahealth
@mohpegypt
@esrnewzealand
@mathstorey

Top Mentioned in G7:
@usambmex

Top Mentioned in G8:
@firefoxx66
@parolin_ricardo
@_b_meyer
@nextstrain
@rachelmwest
@cunidahayu

Top Mentioned in G9:
@kenmomd
@x__ok
@dondeli
@nextstrain
@invesdoctor
@firefoxx66
@yurihiranuma
@ibaraki_kouhou
@cdcgov

Top Mentioned in G10:
@nypost
@biancajagger
@brianslspringer
@revmikemenkes
@who
@thetlbproject
@nickstripe_ons
@takenincontext
@oppenheimera
@defede

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@myfavoritescene
@3_i_n
@macha_oji
@lennaleprena
@hashimoto914
@manchan_sub_acc
@robre62
@matiere
@nobby15

Top Tweeters in G1:
@hashimoto914
@westinghouse565
@hiruandon89
@iqmathieu
@cookdrake
@sportsandanime
@ultraraker
@extra_takuyo
@himagine_no9
@yutaka_fon

Top Tweeters in G2:
@manchan_sub_acc
@m0ni0
@akane_kawahata
@ishida5235
@1215masumasa
@noriesun
@ryukyuasagao
@zyutarou_komcom
@seabat707
@808cyatumi

Top Tweeters in G3:
@realblack212
@firefire100
@frecklesxx20
@loyalfan1
@wadakashiho
@markplackett1
@debsomewhere
@viralvideovlogs
@ovie52009
@ohhthatszee

Top Tweeters in G4:
@meruemgi
@monty_chadha
@kthxq_
@navroopsingh_
@iam_ogd
@jaejaehyunhyun
@gigkagigka
@realtaeng39
@kltddksnc
@jrainbowm

Top Tweeters in G5:
@matiere
@lado_mx
@dev_discourse
@nekotausagi
@golos_ukraine
@oobaakiru
@qksd_l
@aureliobelandom
@crwriter1
@qzv00507

Top Tweeters in G6:
@iflck
@mig30m6
@mazzettam
@chico_barbon
@iridescentashes
@vivadbsk
@showme_logic
@kacmoodyalgeb
@mackayim
@kerorrin

Top Tweeters in G7:
@yordimx
@ursusnero
@norma22flores
@rosmamac
@myleneymylene
@coahuilaytexas
@galucancun
@erafoxzl
@maximumneto
@carlosperezr9

Top Tweeters in G8:
@silvrib
@supervisora
@juanseapi
@hannahumming
@fredwalton216
@danielleduches
@m7m5ea
@pippilotta_here
@emulenews
@hdberretz

Top Tweeters in G9:
@macha_oji
@chiemma44
@sazamaru
@nmikanw
@uchida_kawasaki
@keiki22
@cfihr22
@syuhuhaha
@mk8823
@vic55sab200

Top Tweeters in G10:
@thehill
@guardian
@cnbc
@nypost
@cnn
@wsj
@bbcworld
@epuujee
@miamiherald
@fox35orlando


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.