NCoV, Twitter, 4/8/2020 2:30:39 PM, 224622
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NCoV_2020-04-08_01-11-05.xlsx
NCoV_2020-04-08_01-11-05.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
April 08, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2wlqFBw
@cdcgov
@sanidadgob
@murelbcn
@who
@nextstrain
@guardiacivil
@chiyamelbourne
@ecodaren
@meridajosep
@nyulangone

Top hashtags:
#covid19
#coronavirus
#新型コロナウイルス
#dyk
#estevirusloparamosunidos
#stopbulos
#知事メッセージ
#江戸川区
#sarscov2

Description:
Description
The graph represents a network of 5,808 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 Wednesday, 08 April 2020 at 08:12 UTC.

The requested start date was Wednesday, 08 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, 4-minute period from Monday, 06 April 2020 at 06:21 UTC to Tuesday, 07 April 2020 at 10:25 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 : 5808
Unique Edges : 6110
Edges With Duplicates : 928
Total Edges : 7038
Number of Edge Types : 4
MentionsInRetweet : 4428
Replies to : 428
Mentions : 957
Tweet : 1225
Self-Loops : 1225
Reciprocated Vertex Pair Ratio : 0.00478733198306021
Reciprocated Edge Ratio : 0.009529045262965
Connected Components : 1309
Single-Vertex Connected Components : 639
Maximum Vertices in a Connected Component : 1784
Maximum Edges in a Connected Component : 2537
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.084743
Graph Density : 0.000161798883365331
Modularity : 0.810641
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,808 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 Wednesday, 08 April 2020 at 08:12 UTC.

The requested start date was Wednesday, 08 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, 4-minute period from Monday, 06 April 2020 at 06:21 UTC to Tuesday, 07 April 2020 at 10:25 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 : 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:
[474] https://covid19.isciii.es:443/
[291] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[89] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/9520-covid19-16.html?fbclid=IwAR1BcE7oYMsv1UCFFapFFgtIfJlNj2xlc9JFa-fqZQjJfHe9qNy4usw-CNU
[70] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[68] https://www.pref.ibaraki.jp/1saigai/2019-ncov/message.html
[68] https://nextstrain.org/ncov
[66] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[58] https://m.soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov
[42] https://coronavirus.gov/
[41] https://www.city.edogawa.tokyo.jp/e054/kenko/iryo/kansen/coronavirus/ncov-sippei/20200406.html

Top URLs in Tweet in G1:
[34] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[23] https://soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov
[16] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[7] https://soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov?utm_source=soundcloud&utm_campaign=wtshare&utm_medium=Twitter&utm_content=https%3A//soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov
[6] https://nextstrain.org/ncov
[6] https://www.who.int/publications-detail/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
[5] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_67_COVID-19.pdf
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

Top URLs in Tweet in G2:
[22] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[19] https://coronavirus.gov/
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fprepare%2Fprevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Finfection-control%2Fcontrol-recommendations.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/symptoms-testing/testing.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/guidance-business-response.html

Top URLs in Tweet in G3:
[466] https://covid19.isciii.es:443/
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/CRONICOS20200403.pdf
[3] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/home.htm
[2] https://covid19.isciii.es/
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/AspectosEticos_en_situaciones_de_pandemia.pdf
[1] https://t.me/sanidadgob
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_decalogo_comercios.pdf

Top URLs in Tweet in G4:
[63] https://www.pref.ibaraki.jp/1saigai/2019-ncov/message.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/2004056364.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/200406kaigi2.pdf

Top URLs in Tweet in G5:
[147] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[1] http://idsc.tokyo-eiken.go.jp/assets/diseases/respiratory/ncov/disin.pdf

Top URLs in Tweet in G6:
[4] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[4] http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov-technical-guidance/stay-physically-active-during-self-quarantine
[3] https://www.who.int/publications-detail/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
[2] https://www.who.int/publications-detail/home-care-for-patients-with-suspected-novel-coronavirus-(ncov)-infection-presenting-with-mild-symptoms-and-management-of-contacts
[1] https://www.who.int/publications-detail/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak#.Xow6svJEHbs.twitter
[1] https://www.who.int/publications-detail/infection-prevention-and-control-during-health-care-when-novel-coronavirus-(ncov)-infection-is-suspected-20200125
[1] https://www.who.int/publications-detail/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak#.Xow-TZVKCRM.twitter
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/france-2019-ncov/845953-coronavirus-france-holds-critical-covid-19-patients-in-trains-to-relieve-hospitals-by-moving-them-to-less-crowded-hospitals
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[1] http://who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments

Top URLs in Tweet in G7:
[2] https://www.gmanetwork.com/news/news/nation/732905/duterte-says-he-warned-filipinos-about-covid-19-at-the-start/story/
[2] https://www.gmanetwork.com/news/news/nation/724656/duterte-scores-public-s-hysterical-response-to-ncov-there-s-no-need-for-it/story/
[1] https://www.philstar.com/headlines/2020/02/10/1992178/duterte-assures-local-officials-govt-has-enough-funds-address-ncov-impact
[1] https://www.philstar.com/headlines/2020/02/04/1990292/duterte-ncov-die-natural-death

Top URLs in Tweet in G8:
[42] https://nextstrain.org/ncov
[3] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-04-03
[2] https://nextstrain.org/ncov?f_country=Pakistan
[2] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[1] https://nextstrain.org/narratives/ncov/sit-rep/zh/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/ar/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-03-27
[1] https://nextstrain.org/narratives/ncov/sit-rep/tr/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/fa/2020-04-03

Top URLs in Tweet in G9:
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[5] https://ayudaspuntocom.art.blog/2020/03/12/coronavirus-covid-19-a-falta-de-vacuna-pildora-formativa/
[2] https://covid19.isciii.es:443/
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[2] https://www.pscp.tv/SaludPublicaEs/1dRJZQnkZMAGB
[2] https://www.pscp.tv/SaludPublicaEs/1yNGaQqOLMVGj?t=1h21s
[1] https://covid19.isciii.es/
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_67_COVID-19.pdf
[1] https://www.pscp.tv/SaludPublicaEs/1rmGPAnbEaMJN?t=17m
[1] https://bit.ly/39pPERO

Top URLs in Tweet in G10:
[87] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/9520-covid19-16.html?fbclid=IwAR1BcE7oYMsv1UCFFapFFgtIfJlNj2xlc9JFa-fqZQjJfHe9qNy4usw-CNU
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/9520-covid19-16.html
[1] https://twitter.com/kusumieiji/status/1247315294277623808?s=21
[1] https://twitter.com/kusumieiji/status/1247315294277623808
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top Domains
Top Domains in Tweet in Entire Graph:
[645] cdc.gov
[477] isciii.es
[143] nextstrain.org
[107] twitter.com
[107] go.jp
[105] who.int
[104] soundcloud.com
[101] gov.au
[94] ibaraki.jp
[87] lci.fr

Top Domains in Tweet in G1:
[104] cdc.gov
[41] twitter.com
[32] soundcloud.com
[23] gob.es
[22] who.int
[13] nextstrain.org
[11] lci.fr
[11] gov.au
[11] ibaraki.jp
[11] vnexpress.net

Top Domains in Tweet in G2:
[99] cdc.gov
[20] coronavirus.gov
[15] bit.ly
[3] usa.gov
[2] twitter.com
[2] bddy.me
[1] gob.es
[1] floridahealthcovid19.gov
[1] github.com
[1] auburn.edu

Top Domains in Tweet in G3:
[468] isciii.es
[18] gob.es
[1] t.me

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

Top Domains in Tweet in G5:
[147] cdc.gov
[1] go.jp

Top Domains in Tweet in G6:
[19] who.int
[3] cdc.gov
[2] twitter.com
[1] flutrackers.com

Top Domains in Tweet in G7:
[4] gmanetwork.com
[2] philstar.com

Top Domains in Tweet in G8:
[58] nextstrain.org
[2] who.int
[1] isciii.es
[1] bedford.io

Top Domains in Tweet in G9:
[9] gob.es
[5] art.blog
[5] pscp.tv
[3] isciii.es
[2] bit.ly

Top Domains in Tweet in G10:
[89] go.jp
[2] twitter.com
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1276] covid19
[302] coronavirus
[135] 新型コロナウイルス
[107] dyk
[99] estevirusloparamosunidos
[85] stopbulos
[70] 知事メッセージ
[58] 江戸川区
[54] sarscov2
[52] covid_19



Top Hashtags in Tweet in G1:
[42] coronavirus
[38] covid19
[21] ncov
[19] covid_19
[18] covid
[12] soundcloud
[11] corona
[10] vnexpress
[10] t_news
[10] tintuc

Top Hashtags in Tweet in G2:
[394] covid19
[104] dyk
[44] coronavirus
[36] takebreaks
[11] hcp
[8] covidー19
[7] anxiety
[5] strongeurope
[4] covid
[3] mentalwellness

Top Hashtags in Tweet in G3:
[478] covid19
[13] estevirusloparamosunidos
[3] coronavirus
[3] buenosdías
[2] mijas
[1] yomequedoencasa
[1] covid_19
[1] quédateencasa
[1] solidarity

Top Hashtags in Tweet in G4:
[112] 新型コロナウイルス
[70] 知事メッセージ
[29] 県からのお知らせ
[6] 守谷市新型コロナウイルス関連情報
[6] 茨城県
[6] 守谷市
[6] 休校

Top Hashtags in Tweet in G6:
[45] covid19
[30] coronavirus
[11] masks
[5] r4today
[5] wato
[5] solidarity
[4] indiafightscorona
[3] wuhan
[3] hcw
[2] china

Top Hashtags in Tweet in G7:
[1] dasmarinas
[1] cavite

Top Hashtags in Tweet in G8:
[54] covid19
[48] sarscov2
[15] opendata
[11] hcov19
[9] 新冠病毒
[4] کووید۱۹
[4] سارس‌کو۲
[2] solidaritytrial

Top Hashtags in Tweet in G9:
[85] estevirusloparamosunidos
[84] stopbulos
[8] covid19
[6] coronavirus
[1] cylesbalonmano
[1] quedateencasa
[1] undíamasundiamenos
[1] quédateencasa

Top Words
Top Words in Tweet in Entire Graph:
[1246] Words in Sentiment List#1: Positive
[1584] Words in Sentiment List#2: Negative
[9] Words in Sentiment List#3: Angry/Violent
[94326] Non-categorized Words
[97156] Total Words
[1276] #covid19
[942] ncov
[640] cdcgov
[600] cdc
[593] información

Top Words in Tweet in G1:
[433] ncov
[114] 2019
[108] sa
[91] 19
[80] covid
[76] coronavirus
[67] ng
[63] ko
[44] ang
[43] cdc

Top Words in Tweet in G2:
[606] cdcgov
[394] #covid19
[295] face
[289] cloth
[279] covering
[237] cdc
[209] spread
[190] wearing
[172] public
[140] protect

Top Words in Tweet in G3:
[565] sanidadgob
[562] situación
[478] #covid19
[473] información
[468] datos
[468] actualizados
[468] ccaa
[468] actual
[193] personas
[98] crónicas

Top Words in Tweet in G4:
[144] 県ホームページでご確認ください
[112] #新型コロナウイルス
[108] ibaraki_kouhou
[99] 感染症に係る
[99] 動画2本
[99] を公開しました
[70] #知事メッセージ
[70] 新型コロナウイルス感染症に関し
[70] 本県の感染状況等
[70] と

Top Words in Tweet in G5:
[147] cdcによる布マスクの作り方
[147] tシャツ使ってミシンで縫う方式も紹介されているけど
[147] 一番簡単なのは縫製なし
[147] コーヒーフィルターを挟んでる
[146] kyukimasa
[5] 新型コロナウイルス感染症に関する清掃
[5] 消毒について
[5] どうやって消毒するか
[5] 前トモズで見かけたやつが一番分かりやすかったんだけど
[5] 元の書類を見つけたから貼っとくね

Top Words in Tweet in G6:
[119] human
[72] conducted
[72] evidence
[62] transmission
[61] chinese
[59] preliminary
[59] investigations
[59] authorities
[59] found
[59] clear

Top Words in Tweet in G7:
[100] gmanews
[98] sa
[98] ng
[96] facts
[96] please
[96] don
[96] take
[96] down
[96] kanyang
[96] talumpati

Top Words in Tweet in G8:
[88] nextstrain
[59] thanks
[54] #covid19
[50] gisaid
[48] #sarscov2
[42] genomes
[29] viruses
[28] sequences
[24] sadi_org
[24] argentina

Top Words in Tweet in G9:
[87] información
[85] #estevirusloparamosunidos
[84] paramos
[84] compartes
[84] falsa
[84] #stopbulos
[84] consulta
[84] fuentes
[84] oficiales
[83] guardiacivil

Top Words in Tweet in G10:
[87] kusumieiji
[87] 国立感染研の抗体検査の精度評価はご覧になりましたかね
[87] これで既感染を判断するのは非常に危険ですよ
[87] 交叉が強く疑われるデータです
[86] earl_med_tw

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[476] #covid19,ccaa
[476] situación,actual
[475] datos,actualizados
[475] actualizados,#covid19
[475] ccaa,situación
[474] actual,información
[469] sanidadgob,datos
[375] cloth,face
[368] covid,19
[304] face,covering

Top Word Pairs in Tweet in G1:
[97] 2019,ncov
[73] covid,19
[29] sa,ncov
[27] ng,ncov
[18] cloth,face
[16] spike,protein
[15] coronavirus,covid
[15] face,coverings
[14] viral,counterpoint
[14] counterpoint,coronavirus

Top Word Pairs in Tweet in G2:
[282] cloth,face
[274] face,covering
[186] wearing,cloth
[180] spread,#covid19
[111] cdc,recommendation
[108] help,protect
[104] #dyk,cdc
[104] recommendation,wearing
[104] covering,help
[104] protect,vulnerable

Top Word Pairs in Tweet in G3:
[468] datos,actualizados
[468] actualizados,#covid19
[468] #covid19,ccaa
[468] ccaa,situación
[468] situación,actual
[467] actual,información
[462] sanidadgob,datos
[97] personas,mayores
[96] guía,actuación
[94] crónicas,personas

Top Word Pairs in Tweet in G4:
[108] ibaraki_kouhou,#新型コロナウイルス
[99] #新型コロナウイルス,感染症に係る
[99] 動画2本,を公開しました
[99] を公開しました,県ホームページでご確認ください
[70] 感染症に係る,#知事メッセージ
[70] #知事メッセージ,新型コロナウイルス感染症に関し
[70] 新型コロナウイルス感染症に関し,本県の感染状況等
[70] 本県の感染状況等,と
[70] と,感染拡大防止に向けたお願い
[70] 感染拡大防止に向けたお願い,についての

Top Word Pairs in Tweet in G5:
[147] cdcによる布マスクの作り方,tシャツ使ってミシンで縫う方式も紹介されているけど
[147] tシャツ使ってミシンで縫う方式も紹介されているけど,一番簡単なのは縫製なし
[147] 一番簡単なのは縫製なし,コーヒーフィルターを挟んでる
[146] kyukimasa,cdcによる布マスクの作り方
[5] 新型コロナウイルス感染症に関する清掃,消毒について
[5] 消毒について,どうやって消毒するか
[5] どうやって消毒するか,前トモズで見かけたやつが一番分かりやすかったんだけど
[5] 前トモズで見かけたやつが一番分かりやすかったんだけど,元の書類を見つけたから貼っとくね
[5] 元の書類を見つけたから貼っとくね,東京都感染情報センターのでした
[5] 東京都感染情報センターのでした,co

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

Top Word Pairs in Tweet in G7:
[96] facts,please
[96] please,don
[96] don,take
[96] take,down
[96] down,gmanews
[96] gmanews,sa
[96] sa,kanyang
[96] kanyang,talumpati
[96] talumpati,kagabi
[96] kagabi,sinabi

Top Word Pairs in Tweet in G8:
[50] nextstrain,thanks
[38] #covid19,#sarscov2
[24] thanks,sadi_org
[24] sadi_org,gisaid
[24] gisaid,genomes
[24] genomes,argentina
[24] argentina,none
[24] none,viruses
[23] viruses,clu
[18] we've,added

Top Word Pairs in Tweet in G9:
[84] #estevirusloparamosunidos,paramos
[84] paramos,compartes
[84] compartes,información
[84] información,falsa
[84] falsa,#stopbulos
[84] #stopbulos,consulta
[84] consulta,fuentes
[84] fuentes,oficiales
[83] guardiacivil,#estevirusloparamosunidos
[9] 04,2020

Top Word Pairs in Tweet in G10:
[87] kusumieiji,国立感染研の抗体検査の精度評価はご覧になりましたかね
[87] 国立感染研の抗体検査の精度評価はご覧になりましたかね,これで既感染を判断するのは非常に危険ですよ
[87] これで既感染を判断するのは非常に危険ですよ,交叉が強く疑われるデータです
[86] earl_med_tw,kusumieiji

Top Replied-To
Top Replied-To in Entire Graph:
@10downingstreet
@who
@dohgovph
@cdcgov
@dtal1928
@juliaioffe
@johannemontay
@gopleader
@cnnphilippines
@varlamov

Top Replied-To in G2:
@cdcgov
@drmattmccarthy
@carlosm49102932
@mlalanda
@farooq_pm
@denisse02582950
@midlifemidwife

Top Replied-To in G6:
@who
@dtal1928
@johannemontay
@dr2nisreenalwan
@carinatking
@skynews
@l_mothersole
@patelvistalks
@ritapanahi

Top Replied-To in G7:
@hyperchromer
@senrie101
@gmanews
@littlerascal_12

Top Replied-To in G8:
@martinvars
@three_two_bravo
@jfv1015
@malicemagic

Top Replied-To in G9:
@sergi_prats85

Top Replied-To in G10:
@kusumieiji
@yanagita180sx

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@sanidadgob
@kyukimasa
@who
@ibaraki_kouhou
@surgeon_
@gmanews
@hecklerforever8
@nextstrain
@earl_med_tw

Top Mentioned in G1:
@conventuslaw

Top Mentioned in G2:
@cdcgov
@surgeon_
@realdonaldtrump
@hhsgov
@statedept
@deptofdefense
@mlalanda
@usacehq
@usnationalguard
@fema

Top Mentioned in G3:
@sanidadgob
@dgobiernocv
@julymed08
@escuelasaludara
@060gobes
@emesa30
@envejecercsic
@msdespana
@allisonmcolbert
@who

Top Mentioned in G4:
@ibaraki_kouhou
@k_ooigawa
@hitachiotacity
@moriya_citypro
@superhitachi
@keychan13683388

Top Mentioned in G5:
@kyukimasa
@tolcolors

Top Mentioned in G6:
@who
@chinadaily
@alicesim
@kakape
@patelvistalks
@allisonmcolbert
@ellenthoen
@nataliexdean
@covidnewsbymib
@mvankerkhove

Top Mentioned in G7:
@gmanews
@hecklerforever8
@philstarnews
@abscbnnews
@chellangel123
@hyperchromer

Top Mentioned in G8:
@nextstrain
@gisaid
@sadi_org
@fengjun_zhang
@nyulangone
@unilj
@3xueying
@phe_uk
@institutpasteur
@tommy_nezy

Top Mentioned in G9:
@guardiacivil
@saludpublicaes
@sanidadgob
@bdnalbert
@juanjoband24

Top Mentioned in G10:
@earl_med_tw
@kusumieiji
@kyukimasa

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@simanekomama
@jurylady5
@ecodaren
@marcodacostafx
@littlebytesnews
@syuu1228
@insdatainter
@milenio
@anony403

Top Tweeters in G1:
@littlebytesnews
@mummygirl
@noel_hasui
@saudi_pharma_07
@osakakyoto_0825
@ronosyuka
@vitimestoday
@narusehironori
@daisuke0923pax
@jugbo

Top Tweeters in G2:
@insdatainter
@k1a1zzz
@inabsentia9
@donotgiveuphope
@hirogallery
@mikedesai
@kcs39194
@protestmusica
@rockethulsey
@538355

Top Tweeters in G3:
@marcodacostafx
@mariaperezpere
@marisaparrilla
@spanishdan1
@meme_montero
@chusina5
@nachoanon
@lopez9346
@jacamp98
@maketolari

Top Tweeters in G4:
@akabeko_kanaha
@ma108p
@ryuuku330
@over56_34
@shikaichiban
@ryu_s0930
@yonomoriakari
@kenke3939
@_msk45
@kashimarines54

Top Tweeters in G5:
@newla
@kanekoiroha
@murrhauser
@asanem800
@vourja
@iwashiryo1
@takiguti_kaeru
@mahuyu
@suisei214
@inasa_tatsumi

Top Tweeters in G6:
@joannecangal
@princessbibirf_
@analyticaglobal
@lsstr10
@skynews
@sandoly
@vrwctexan
@4tchat
@euwatchers
@smartbrain

Top Tweeters in G7:
@abscbnnews
@gmanews
@maamsyj
@dhinz88
@philstarnews
@everythingjac
@pickles_17
@amyslayer
@lovelychandriaf
@jazmasigan_2

Top Tweeters in G8:
@ab_owl
@themistocles_w
@csinaco
@wandafay
@phylogenomics
@rowlandm
@tnakinkpod
@malicemagic
@michellezenner
@biswapriyamisra

Top Tweeters in G9:
@kikemlaga
@hidalgodepucela
@ultimavuelta1
@talantepositivo
@miguelservera
@sabelabravo
@bdnalbert
@es01742275
@joancalabuig
@lolapichardo10

Top Tweeters in G10:
@akane_kawahata
@gooochin
@noriesun
@12648430
@machicarmen
@beepcap
@migmhp1209
@kumappus
@ikotto
@ikadanna


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