NCoV, Twitter, 5/6/2021 12:17:17 PM, 254269


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NCoV_2021-05-06_03-42-45.xlsx
NCoV_2021-05-06_03-42-45.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 06, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3tpGnmA
@cdcgov
@ibaraki_kouhou
@ur6dsoo9fmbeomy
@earl_covid19_tw
@viralvideovlogs
@saludpublicaes
@minemine314
@miya_space
@sanidadgob
@us_fda

Top hashtags:
#covid19
#新型コロナウイルス
#vacunación
#covid_19
#いばらきアマビエちゃん
#キャッシュレス決済
#mask

Description:
Description
The graph represents a network of 8,031 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, 06 May 2021 at 11:02 UTC.

The requested start date was Thursday, 06 May 2021 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 2-day, 20-hour, 3-minute period from Sunday, 02 May 2021 at 16:26 UTC to Wednesday, 05 May 2021 at 12:30 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 : 8031
Unique Edges : 3624
Edges With Duplicates : 12664
Total Edges : 16288
Number of Edge Types : 5
Replies to : 1042
Tweet : 1333
Retweet : 5207
MentionsInRetweet : 5877
Mentions : 2829
Self-Loops : 1356
Reciprocated Vertex Pair Ratio : 0.00589699908268903
Reciprocated Edge Ratio : 0.0117248566961959
Connected Components : 1271
Single-Vertex Connected Components : 483
Maximum Vertices in a Connected Component : 3576
Maximum Edges in a Connected Component : 9554
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.550966
Graph Density : 0.000119028180495474
Modularity : 0.483416
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,031 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, 06 May 2021 at 11:02 UTC.

The requested start date was Thursday, 06 May 2021 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 2-day, 20-hour, 3-minute period from Sunday, 02 May 2021 at 16:26 UTC to Wednesday, 05 May 2021 at 12:30 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:
[615] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html
[214] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210503.pdf
[193] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[169] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Moderna.html
[155] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[141] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[119] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[83] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[69] https://www.facebook.com/login/?next=https%3A%2F%2Fwww.facebook.com%2Ftoshihito.kumagai%2Fposts%2F4030087290394082
[66] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated-guidance.html

Top URLs in Tweet in G1:
[20] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/participate-in-activities.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/summer-camps.html
[4] https://go.usa.gov:443/xATat
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/How-Do-I-Get-a-COVID-19-Vaccine.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/talk-about-vaccines.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/keythingstoknow.html

Top URLs in Tweet in G2:
[577] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html
[5] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9994-490p01.html
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/bessi8.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210503_kaiken.html
[1] https://www.acog.org/clinical/clinical-guidance/practice-advisory/articles/2020/12/vaccinating-pregnant-and-lactating-patients-against-covid-19

Top URLs in Tweet in G3:
[125] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[63] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210426_kaiken.html#kenminnominasama
[10] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210503_kaiken.html
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/kaiken.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210503_1520_kaiken.pdf
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210505_henni.pdf
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210426_kaiken.html

Top URLs in Tweet in G4:
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[22] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html
[22] https://eautocheck.de
[11] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/participate-in-activities.html
[11] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated-guidance.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/210503_kaiken.html

Top URLs in Tweet in G5:
[209] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210503.pdf
[38] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210504.pdf
[30] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/COVID19_que_hago_si_conozco_alguien_con_sintomas.pdf
[24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_366_COVID-19.pdf
[19] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_367_COVID-19.pdf
[5] http://www.navarra.es/home_es/Gobierno+de+Navarra/Organigrama/Los+departamentos/Salud/Organigrama/Estructura+Organica/Instituto+Navarro+de+Salud+Publica/Publicaciones/Publicaciones+profesionales/Epidemiologia/InformesVigilanciaEpidemiologia2020.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[5] https://www.vacunacovid.gob.es
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm

Top URLs in Tweet in G6:
[115] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[69] https://www.facebook.com/login/?next=https%3A%2F%2Fwww.facebook.com%2Ftoshihito.kumagai%2Fposts%2F4030087290394082
[38] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/ittosanken210428.html#message
[8] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html
[5] https://pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti36.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2551-lab-2/10326-covid19-43.html
[2] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/28kai-siryou.pdf
[2] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[2] https://pref.chiba.lg.jp/shippei/press/2019/ncov-index.html

Top URLs in Tweet in G7:
[163] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Moderna.html

Top URLs in Tweet in G8:
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?la=en
[2] https://www.nejm.org/doi/full/10.1056/NEJMoa2105385?cookieSet=1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/mis-c.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/symptoms.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/viralvector.html#:~:text=Viral%20vector%20vaccines%20use%20a,getting%20sick%20with%20COVID%2D19

Top URLs in Tweet in G9:
[83] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[7] https://www.pref.hiroshima.lg.jp/site/2019-ncov/pcr-20210430.html#d1-2
[4] https://www.catapoke.com/viewer/?open=62b3f
[4] https://www.pref.hiroshima.lg.jp/site/2019-ncov/pcr-2021spring.html
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2551-lab-2/10326-covid19-43.html
[3] https://www.pref.hiroshima.lg.jp/site/2019-ncov/pcr-20210430.html
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/ittosanken210428.html#message
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10338-496p03.html

Top URLs in Tweet in G10:
[22] https://nextstrain.org/ncov/south-america?c=country&f_country=Chile&f_emerging_lineage=C.37&f_region=South%20America
[12] https://nextstrain.org/ncov/asia
[10] https://nextstrain.org/ncov
[7] https://nextstrain.org/ncov/europe
[6] https://nextstrain.org/ncov/south-america
[5] https://nextstrain.org/ncov/africa
[4] https://nextstrain.org/ncov/oceania
[2] https://nextstrain.org/ncov/north-america
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/variant-info.html

Top Domains
Top Domains in Tweet in Entire Graph:
[2004] cdc.gov
[671] go.jp
[466] gob.es
[338] lg.jp
[259] ibaraki.jp
[122] recombinomics.co
[85] twitter.com
[80] nextstrain.org
[70] facebook.com
[67] who.int

Top Domains in Tweet in G1:
[152] cdc.gov
[7] usa.gov
[7] twitter.com
[2] bit.ly
[2] nd.gov
[1] ow.ly
[1] gov.au
[1] epiforecasts.io
[1] mass.gov
[1] fda.gov

Top Domains in Tweet in G2:
[582] go.jp
[3] lg.jp
[3] cdc.gov
[1] ibaraki.jp
[1] acog.org

Top Domains in Tweet in G3:
[223] ibaraki.jp
[3] co.jp
[2] go.jp

Top Domains in Tweet in G4:
[335] cdc.gov
[44] eautocheck.de
[38] go.jp
[30] gob.es
[28] lg.jp
[24] twitter.com
[24] ibaraki.jp
[12] gencat.cat
[11] emergenza24.org
[10] go.kr

Top Domains in Tweet in G5:
[366] gob.es
[10] navarra.es
[4] portalfarma.com
[1] bit.ly
[1] twitter.com
[1] cdc.gov

Top Domains in Tweet in G6:
[171] lg.jp
[69] facebook.com
[12] go.jp
[3] cdc.gov

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

Top Domains in Tweet in G8:
[27] cdc.gov
[3] publichealthontario.ca
[2] jamanetwork.com
[2] nejm.org

Top Domains in Tweet in G9:
[99] lg.jp
[5] go.jp
[4] catapoke.com

Top Domains in Tweet in G10:
[69] nextstrain.org
[3] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1319] covid19
[349] 新型コロナウイルス
[247] vacunación
[130] covid_19
[121] いばらきアマビエちゃん
[89] キャッシュレス決済
[51] mask
[41] wearamask
[39] coronavirus
[23] احتیاط_سنتِ_نبویؐ



Top Hashtags in Tweet in G1:
[664] covid19
[48] mask
[33] wearamask
[6] sleeveup
[6] travel
[4] vaxfact
[4] vaccinated
[4] getvaccinated
[4] covid19vaccine
[4] strongertogether

Top Hashtags in Tweet in G3:
[329] 新型コロナウイルス
[120] いばらきアマビエちゃん
[14] 茨城県
[5] 守谷市新型コロナウイルス関連情報
[5] 守谷市
[1] 龍ケ崎
[1] 龍ケ崎市コロナ対策
[1] covid19

Top Hashtags in Tweet in G4:
[73] covid19
[28] coronavirus
[22] fwn
[22] freeworldnews
[22] today
[14] covid
[11] epidemia
[11] polmonite
[9] ncov
[5] wearamask

Top Hashtags in Tweet in G5:
[277] covid19
[241] vacunación
[14] yomevacuno
[14] andalucía
[12] vacunascongarantías
[12] tufarmacéuticoinforma
[12] vacunascovid19
[7] higienejcyl
[6] yomevacunoseguro
[5] documentosprl

Top Hashtags in Tweet in G6:
[11] 千葉県庁
[1] 高齢者向けワクチンの配分

Top Hashtags in Tweet in G9:
[5] 広島県
[4] 新型コロナ
[4] 再拡大防止
[1] コロナ
[1] 新型コロナウイルス
[1] いばらきアマビエちゃん

Top Hashtags in Tweet in G10:
[10] opendata
[10] covid19
[10] sarscov2
[2] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[1319] #covid19
[1099] covid
[1073] cdc
[931] 19
[724] ibaraki_kouhou
[624] cdcgov
[607] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法
[598] 国立感染症研究所
[587] earl_covid19_tw
[584] 4月30日

Top Words in Tweet in G1:
[664] #covid19
[595] cdcgov
[222] vaccines
[207] getting
[148] vaccination
[146] everyone
[146] vaccinated
[139] within
[136] lives
[136] miles

Top Words in Tweet in G2:
[577] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法
[574] 国立感染症研究所
[572] earl_covid19_tw
[569] 4月30日
[6] hrkz1985
[5] 新型コロナウイルス感染症における積極的疫学調査の結果について
[5] 第2回
[5] 2020年10月5日時点
[5] 暫定
[5] 12月1日公表

Top Words in Tweet in G3:
[722] ibaraki_kouhou
[397] 水
[349] 期間
[349] 木
[344] 新型コロナウイルス感染拡大市町村を追加します
[344] 感染状況等により対象の追加
[344] 期間の延長を行う場合があります
[342] 追加
[342] 5市町
[342] 結城市

Top Words in Tweet in G4:
[195] covid
[189] 19
[102] ncov
[88] vaccine
[84] cdc
[83] more
[73] #covid19
[71] vaccinated
[55] people
[50] 2019

Top Words in Tweet in G5:
[299] actualización
[289] sanidadgob
[286] informe
[277] #covid19
[271] españa
[265] actividad
[241] #vacunación
[241] cuadro
[241] mando
[182] saludpublicaes

Top Words in Tweet in G6:
[148] chibaken_kouhou
[114] の新型コロナウイルス感染症の情報
[114] 新規感染者数
[114] 詳細データについてはこちらからご覧ください
[114] 県ホームページの更新は翌日になります
[108] co
[69] kumagai_chiba
[69] なお
[69] 配分については第4クールは希望数に比例して配分
[69] 第5クールからは希望数に加え各市町村の高齢者人口に比例して配分しています

Top Words in Tweet in G7:
[163] แนบ
[163] ref
[163] จาก
[163] cdc
[162] ascalon_dnity

Top Words in Tweet in G8:
[25] mcfunny
[24] ncov
[23] jaikanta22
[22] kayvonpaul
[22] blaineillimatta
[22] carlsmythe
[22] irishman7771
[22] barryjohnreid21
[22] markmcdougall13
[22] boastira

Top Words in Tweet in G9:
[152] hiroshima_pref
[83] 本日
[83] の広島県内の感染状況
[83] 本日の感染者はコチラ
[83] information
[83] multiple
[83] languages
[83] covid
[83] 19
[79] co

Top Words in Tweet in G10:
[54] gisaid
[45] variantes
[45] chile
[44] evolución
[44] circulantes
[44] fecha
[44] datos
[44] ispch
[44] genomascgc
[44] aumento

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[754] covid,19
[584] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法,4月30日
[584] 4月30日,国立感染症研究所
[583] earl_covid19_tw,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法
[345] 水,感染状況等により対象の追加
[345] 感染状況等により対象の追加,期間の延長を行う場合があります
[343] ibaraki_kouhou,新型コロナウイルス感染拡大市町村を追加します
[343] 新型コロナウイルス感染拡大市町村を追加します,追加
[343] 追加,5市町
[343] 5市町,結城市

Top Word Pairs in Tweet in G1:
[146] #covid19,vaccines
[138] #covid19,vaccination
[136] everyone,lives
[136] lives,within
[136] within,miles
[136] miles,#covid19
[136] vaccination,site
[136] site,easier
[135] cdcgov,everyone
[115] covid,19

Top Word Pairs in Tweet in G2:
[569] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法,4月30日
[569] 4月30日,国立感染症研究所
[568] earl_covid19_tw,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法
[6] hrkz1985,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法
[5] 新型コロナウイルス感染症における積極的疫学調査の結果について,第2回
[5] 第2回,2020年10月5日時点
[5] 2020年10月5日時点,暫定
[5] 暫定,12月1日公表
[5] 12月1日公表,国立感染症研究所
[5] 国立感染症研究所,発症時の症状として味覚障害5

Top Word Pairs in Tweet in G3:
[344] 水,感染状況等により対象の追加
[344] 感染状況等により対象の追加,期間の延長を行う場合があります
[342] ibaraki_kouhou,新型コロナウイルス感染拡大市町村を追加します
[342] 新型コロナウイルス感染拡大市町村を追加します,追加
[342] 追加,5市町
[342] 5市町,結城市
[342] 結城市,龍ケ崎市
[342] 龍ケ崎市,つくば市
[342] つくば市,八千代町
[342] 八千代町,利根町

Top Word Pairs in Tweet in G4:
[163] covid,19
[46] fully,vaccinated
[41] learn,more
[41] 2019,ncov
[33] 19,vaccine
[27] 19,vaccines
[22] hashtag,2020
[22] 2020,#fwn
[22] #fwn,#freeworldnews
[22] #freeworldnews,#today

Top Word Pairs in Tweet in G5:
[265] informe,actividad
[264] sanidadgob,actualización
[255] actualización,informe
[241] actividad,#vacunación
[241] #vacunación,españa
[241] españa,cuadro
[241] cuadro,mando
[71] datos,#covid19
[59] frente,#covid19
[52] reducir,riesgo

Top Word Pairs in Tweet in G6:
[114] の新型コロナウイルス感染症の情報,新規感染者数
[114] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります
[69] なお,配分については第4クールは希望数に比例して配分
[69] 配分については第4クールは希望数に比例して配分,第5クールからは希望数に加え各市町村の高齢者人口に比例して配分しています
[69] 第5クールからは希望数に加え各市町村の高齢者人口に比例して配分しています,添付画像が見づらい方はこちらをhttps
[69] 添付画像が見づらい方はこちらをhttps,co
[69] co,rbwqykq6va
[69] rbwqykq6va,市町村別の配分数はこちら
[68] kumagai_chiba,なお
[41] 妊婦の接種について,米国では現時点で約10万人の妊婦がコロナワクチンを接種してv

Top Word Pairs in Tweet in G7:
[163] แนบ,ref
[163] ref,จาก
[163] จาก,cdc
[162] ascalon_dnity,แนบ

Top Word Pairs in Tweet in G8:
[22] burgerlab12,numbers_truth
[22] angelifrankie,ds13_manon
[22] ds13_manon,bryanvilleneuve
[22] bryanvilleneuve,carolhakios
[22] carolhakios,jamie83107302
[22] cjbowden1,kathmarval
[22] kathmarval,_drcjm_
[22] _drcjm_,lilelectronblue
[21] kstateturk,chris_f_carson
[21] numbers_truth,nycweatherrepor

Top Word Pairs in Tweet in G9:
[83] 本日,の広島県内の感染状況
[83] の広島県内の感染状況,本日の感染者はコチラ
[83] information,multiple
[83] multiple,languages
[83] languages,covid
[83] covid,19
[79] hiroshima_pref,本日
[74] 本日の感染者はコチラ,co
[73] 感染拡大を防止するためには,人と人との接触を広く全般に遮断する
[73] 人と人との接触を広く全般に遮断する,陽性者との個別の接触を遮断するの2つの方法しかありません

Top Word Pairs in Tweet in G10:
[44] evolución,variantes
[44] variantes,circulantes
[44] circulantes,fecha
[44] fecha,chile
[44] chile,datos
[44] datos,gisaid
[44] gisaid,ispch
[44] ispch,genomascgc
[44] genomascgc,aumento
[43] lalopangue,evolución

Top Replied-To
Top Replied-To in Entire Graph:
@gopchairwoman
@salud_na
@crockabananas
@ncov_madeinch
@babaali_tx
@donfisco
@blue_ncov
@z_mutoh
@jrjhealey
@realupsman1

Top Replied-To in G1:
@cdcgov
@mehreennaqsh
@jreinermd
@vincevtp3
@massgovernor
@saludamerica
@fdajesfry
@m33r39
@venessb
@nanelvisfan

Top Replied-To in G2:
@may_roma
@kobako

Top Replied-To in G3:
@s_dotto_dexijei
@yottyan_itf

Top Replied-To in G4:
@byuoritter

Top Replied-To in G5:
@salud_na

Top Replied-To in G6:
@chibaken_kouhou
@mariarmichaela
@triangle24

Top Replied-To in G8:
@crockabananas
@jrjhealey
@livetogro
@iron_mechanic
@haircutspock
@juliahb1
@allearthlife
@kathiroussel
@benthamdale
@ander_mander

Top Replied-To in G9:
@oue_n8

Top Replied-To in G10:
@c_lindner
@censelio

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@cdcgov
@earl_covid19_tw
@sanidadgob
@saludpublicaes
@ascalon_dnity
@hiroshima_pref
@chibaken_kouhou
@ministeriosalud
@tiny_wings_

Top Mentioned in G1:
@cdcgov
@cdcemergency
@scdhec
@fema
@cdc
@hhsgov
@pbcdem
@medlineplus
@dod_dha
@us_fda

Top Mentioned in G2:
@earl_covid19_tw
@hrkz1985
@hirotapp
@may_roma
@ayako700
@investigatencov
@masayuki_ko24

Top Mentioned in G3:
@ibaraki_kouhou
@k_ooigawa
@tsukubais
@blurmyu
@yachiyo_town
@tokai_vill
@moriya_citypro
@earl_covid19_tw
@torifuji1563
@igarashitatsuo

Top Mentioned in G4:
@ksteinmetz1975
@guty2370
@changepom
@yamanobe0829

Top Mentioned in G5:
@sanidadgob
@saludpublicaes
@educaciongob
@dgobandalucia
@dgobiernocv
@farmaceuticos_
@coronadatose
@prevencionjcyl
@desdelamoncloa
@pnfc_cgcof

Top Mentioned in G6:
@chibaken_kouhou
@kumagai_chiba
@sakimdctropmed
@imamura_kansen
@earl_covid19_tw
@hermit_crab_19
@triangle24
@ichihara_city

Top Mentioned in G7:
@ascalon_dnity

Top Mentioned in G8:
@mcfunny
@kayvonpaul
@carlsmythe
@irishman7771
@barryjohnreid21
@markmcdougall13
@boastira
@nyob7714
@ghoppe
@chrisjohnsonmd

Top Mentioned in G9:
@hiroshima_pref
@akaiohi
@aoihana1213
@spearsden
@chibaken_kouhou
@ibaraki_kouhou
@imamura_kansen
@earl_covid19_tw

Top Mentioned in G10:
@gisaid
@ispch
@genomascgc
@lalopangue
@nextstrain
@nbody6
@censelio
@hopsaintlouis
@ministeriosalud
@biolabcenter

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@hjlv2378
@mini_kurokoge66
@ecodaren
@guldeen
@matiere
@kat4obama
@esterlinalanzi
@rjber15
@teshawnedmonds

Top Tweeters in G1:
@kat4obama
@rjber15
@teshawnedmonds
@animesh1977
@chuddles11
@rosenchild
@eykis
@viralvideovlogs
@wadakashiho
@loyalfan1

Top Tweeters in G2:
@sunny_days365
@monocat33
@ukyomaboroshi
@may_roma
@10coisunyanta
@kanekoiroha
@packraty
@nancy_moon_1789
@aeroace
@slipperyrider

Top Tweeters in G3:
@westinghouse565
@shintochigi1
@himagine_no9
@takakura1982
@kumokumotori
@ext_edward
@noel_hasui
@kammyryvius
@yoshikageeeee
@shirayukihime_p

Top Tweeters in G4:
@toicitiesnews
@ken_crichlow
@laura78703
@didaclopez
@golos_ukraine
@haolethai
@itaintrordor
@aureliobelandom
@senryoaiit
@hug10lee

Top Tweeters in G5:
@mariaperezpere
@curritorojo
@nusagatero
@meme_montero
@kaluapiscis
@937908mcm
@demiurgotuiter
@enedina37049621
@nachoanon
@chusina5

Top Tweeters in G6:
@mini_kurokoge66
@matiere
@sakumariko
@sobtomk
@tamatama2
@mt_aikatsu
@808cyatumi
@sedzir
@ribrib010
@heu_ge

Top Tweeters in G7:
@daizylazyyy
@nathuhiqx
@toogoodatbye
@i_warminghoney
@mirumiru_yhcm
@ts_youngjae333
@jellypeachh
@naoomrak
@daisieelady
@asiras_etav

Top Tweeters in G8:
@lizditz
@heidiec5
@rf_jenkins
@les_deplorable
@ds13_manon
@luigi_warren
@_mamadeb
@beckyjohnson222
@sreynolds196777
@rtenews

Top Tweeters in G9:
@fusasippona
@mtcedar1972
@ocean_kids
@tyandori
@upa89385
@pet4puppy
@guzeisha
@turututukotokot
@tk81136745
@tanimoshinden

Top Tweeters in G10:
@mattyll
@infozeus
@dmvecinal
@censelio
@juanseapi
@rod_naranjo
@1982_vito46
@pablotopo
@veritocvr
@gabisilandia