NCoV, Twitter, 2/19/2023 10:47:52 AM, 289840


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NCoV_2023-02-19_02-28-26.xlsx
NCoV_2023-02-19_02-28-26.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 19, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3Z4frJm
@_2019_ncov
@cdcgov
@ffleurbleue
@who
@jgalt485
@elonmusk
@ministeriosalud
@laporres
@vigilantfox
@raoult_didier

Top hashtags:
#新型コロナウイルス感染症情報
#covid19
#longcovid
#covid_19
#longcovidkids
#coronavirus
#covid
#코로나19
#예방접종
#기초접종

Description:
Description
The graph represents a network of 4,924 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:32 UTC.

The tweets in the network were tweeted over the 1131-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 19 February 2023 at 01:00 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 4924
Unique Edges : 3905
Edges With Duplicates : 13737
Total Edges : 17642
Number of Edge Types : 9
Retweet : 3053
MentionsInRetweet : 4556
Mentions : 218
Replies to : 1996
MentionsInReplyTo : 6645
Quote : 61
Tweet : 745
MentionsInQuoteReply : 286
MentionsInQuote : 82
Self-Loops : 1311
Reciprocated Vertex Pair Ratio : 0.0493676050591595
Reciprocated Edge Ratio : 0.0940902021772939
Connected Components : 578
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2395
Maximum Edges in a Connected Component : 10777
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.182383
Graph Density : 0.000318305643712523
Modularity : 0.409236
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,924 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:32 UTC.

The tweets in the network were tweeted over the 1131-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 19 February 2023 at 01:00 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[478] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[132] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[111] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[71] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[63] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[60] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[59] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[55] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[43] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html

Top URLs in Tweet in G1:
[4] https://twitter.com/Quisuisje13/status/1626855384383094784/photo/1
[4] https://twitter.com/FrancSanka/status/1626853543515766784/photo/1
[4] https://twitter.com/bigdav25597197/status/1625794466354237441/video/1
[3] https://twitter.com/FanDeMarlene/status/1624681666550587392/photo/1
[3] https://twitter.com/afes_666/status/1625778916001554432/photo/1
[3] https://twitter.com/GalgosdelSol/status/1625166537064648704/photo/1
[2] https://twitter.com/FanDeMarlene/status/1624681666550587392?t=vKS3kMbpN0S3nf2CrkgAZw&s=19
[2] https://twitter.com/charlie_yarseen/status/1623952762361769986/photo/1
[2] https://twitter.com/charlie_yarseen/status/1584099765783961600/photo/1
[2] https://gab.com/Volontariste/posts/107449280738740369

Top URLs in Tweet in G2:
[23] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html
[4] https://twitter.com/CDCMMWR/status/1557811619815739393/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html

Top URLs in Tweet in G3:
[29] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[19] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[4] https://twitter.com/contagemcorona1/status/1626526806982504451/photo/1
[4] https://twitter.com/_ppmv/status/1626539817382158339/photo/1
[3] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[3] https://twitter.com/CPita3/status/1460826271563329537/photo/1
[2] https://twitter.com/firefoxx66/status/1625507532050518018/photo/1
[2] https://twitter.com/firefoxx66/status/1625507528887902209/photo/1
[2] https://twitter.com/mvankerkhove/status/1626501640063787012
[2] https://nextstrain.org/ncov/gisaid/global/6m

Top URLs in Tweet in G4:
[10] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/past-reports/04102020.html
[3] https://twitter.com/TheMatrixStorm/status/1627057122637938690/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/primary-cause.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?r=q71r3&utm_medium=ios&utm_campaign=post
[1] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[1] https://twitter.com/quintic/status/1626977397068234752/photo/1
[1] https://twitter.com/quintic/status/1624828442804908040/photo/1
[1] https://twitter.com/quintic/status/1626635892101087270/photo/1

Top URLs in Tweet in G5:
[1] https://ncov.kdca.go.kr/

Top URLs in Tweet in G6:
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Post-COVID-19-condition-CA-Clinical-case-definition-2023-1

Top URLs in Tweet in G7:
[12] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1625857497767763972/photo/1
[1] https://twitter.com/ministeriosalud/status/1625155990646837248/photo/1
[1] https://twitter.com/ministeriosalud/status/1624045018309701634/photo/1
[1] https://twitter.com/ministeriosalud/status/1623683587135483905/photo/1
[1] https://twitter.com/ministeriosalud/status/1624408080954888194/photo/1
[1] https://twitter.com/ministeriosalud/status/1625495104906760201/photo/1
[1] https://twitter.com/ministeriosalud/status/1626220018940641286/photo/1
[1] https://twitter.com/ministeriosalud/status/1624770765559107584/photo/1
[1] https://twitter.com/ministeriosalud/status/1626582238661074945/photo/1

Top URLs in Tweet in G8:
[124] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[110] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[9] https://www.catapoke.com/viewer/?open=62b3f
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.niid.go.jp/niid/ja/2019-ncov/11793-covid19-ab116th.html
[6] https://twitter.com/ikaryakuchan/status/1624906670538362881/photo/1
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/masuku-kangaekata.html
[1] https://twitter.com/chibaken_kouhou/status/1626509879719661568/photo/1
[1] https://twitter.com/hiroshima_pref/status/1626869132972163073/photo/1
[1] https://twitter.com/hiroshima_pref/status/1623944857856114688/photo/1

Top URLs in Tweet in G9:
[58] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[31] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html
[29] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[26] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[24] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[1] https://twitter.com/Conchifrit992/status/1625467356666384386

Top URLs in Tweet in G10:
[464] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[10] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/230215_stage1.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1623572304377823232/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1623941202151374848/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1624303166778138624/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1625398804773208064/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1624659651563499521/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1625764184255500289/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[967] twitter.com
[827] cdc.gov
[502] ibaraki.jp
[329] lg.jp
[154] go.jp
[140] who.int
[110] gob.es
[98] recombinomics.co
[53] go.kr
[37] tokyo.jp

Top Domains in Tweet in G1:
[162] twitter.com
[13] threadreaderapp.com
[6] t.me
[5] cdc.gov
[3] thegatewaypundit.com
[3] profession-gendarme.com
[3] youtube.com
[2] leslignesbougent.org
[2] zerohedge.com
[2] gab.com

Top Domains in Tweet in G2:
[109] cdc.gov
[63] twitter.com
[2] who.int
[1] facebook.com
[1] translate.goog
[1] trib.al
[1] cbsnews.com
[1] nih.gov
[1] chop.edu
[1] reuters.com

Top Domains in Tweet in G3:
[56] who.int
[37] twitter.com
[4] cdc.gov
[3] nextstrain.org
[3] bvsalud.org
[1] covariants.org
[1] github.com
[1] sky.com
[1] tandfonline.com
[1] ctvnews.ca

Top Domains in Tweet in G4:
[37] cdc.gov
[25] twitter.com
[5] substack.com
[4] archive.org
[1] nextstrain.org
[1] nih.gov
[1] ahajournals.org
[1] youtube.com
[1] ourworldindata.org
[1] pasteur.fr

Top Domains in Tweet in G5:
[1] go.kr

Top Domains in Tweet in G6:
[120] cdc.gov
[112] twitter.com
[98] recombinomics.co
[20] who.int
[19] lg.jp
[19] go.jp
[17] gob.es
[15] ibaraki.jp
[13] co.jp
[11] docguide.com

Top Domains in Tweet in G7:
[12] minsal.cl
[11] twitter.com

Top Domains in Tweet in G8:
[235] lg.jp
[17] twitter.com
[9] catapoke.com
[8] ibaraki.jp
[7] go.jp
[1] cdc.gov

Top Domains in Tweet in G9:
[59] twitter.com
[31] go.jp
[30] lg.jp
[26] cdc.gov
[26] nejm.org
[24] gob.es

Top Domains in Tweet in G10:
[478] ibaraki.jp
[11] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[472] 新型コロナウイルス感染症情報
[424] covid19
[331] longcovid
[317] covid_19
[37] longcovidkids
[33] coronavirus
[32] covid
[30] 코로나19
[30] 예방접종
[30] 기초접종



Top Hashtags in Tweet in G1:
[13] giletsjaunes
[7] retraites
[7] urgent
[6] france
[6] champselysees
[6] samedi11fevrier
[5] prisonnierspolitiques
[5] grégorypasqueille
[4] manif11fevrier
[3] covid_19

Top Hashtags in Tweet in G2:
[199] covid19
[4] coronavirus
[4] blackhealth
[4] beashotcaller
[3] publichealth
[3] covid
[3] transmission
[2] hcps
[2] 2019ncov
[2] gettheshot

Top Hashtags in Tweet in G3:
[308] longcovid
[140] covid19
[34] longcovidkids
[16] postcovid
[7] sarscov2
[4] vaxfact
[4] covid
[3] research
[2] coronavirus
[2] china

Top Hashtags in Tweet in G4:
[2] courageousdiscourse

Top Hashtags in Tweet in G6:
[28] covid19
[9] cdc
[5] coronavirus
[5] covid
[4] 疫情防控
[4] vaccines
[4] yomevacunoseguro
[3] vaccine
[3] outbreak
[3] vacunación

Top Hashtags in Tweet in G7:
[313] covid_19
[1] covid19
[1] longcovid

Top Hashtags in Tweet in G8:
[9] 広島県
[9] 新型コロナ
[8] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G10:
[464] 新型コロナウイルス感染症情報

Top Words
Top Words in Tweet in Entire Graph:
[1185] covid
[859] 19
[757] _2019_ncov
[694] co
[628] casos
[472] qnzux8c1z3
[472] 本日の新規陽性者数
[472] 現在の入院者数
[472] 本日の死亡者
[472] #新型コロナウイルス感染症情報

Top Words in Tweet in G1:
[689] _2019_ncov
[106] ce
[103] yvespdb
[86] jgalt485
[84] c'est
[79] sergiodde
[76] crashdebug_fr
[73] sitting_bull_d
[68] ils
[63] partageinfos

Top Words in Tweet in G2:
[328] cdcgov
[231] covid
[199] #covid19
[167] 19
[159] more
[144] booster
[137] sick
[136] very
[131] updated
[91] older

Top Words in Tweet in G3:
[354] children
[308] #longcovid
[275] definition
[249] case
[224] condition
[224] adolescents
[213] clinical
[155] covid
[148] 19
[140] #covid19

Top Words in Tweet in G4:
[42] covid
[25] cdc
[22] deaths
[21] i_am_johncullen
[18] influenza
[17] 19
[17] pneumonia
[14] 2020
[13] mrna
[12] people

Top Words in Tweet in G5:
[414] 사망자는
[414] 코로나19로
[207] 11명이라고
[207] 된다고
[207] 인한
[207] 해요
[207] 지난
[207] 사망
[207] 2020년에
[207] 사람은

Top Words in Tweet in G6:
[235] covid
[136] ncov
[127] 2019
[119] 19
[101] cases
[100] deaths
[99] increase
[98] inc
[98] recombinomics
[76] 1人

Top Words in Tweet in G7:
[624] casos
[313] #covid_19
[312] fallecidos
[312] activos
[312] nuevos
[312] registrados
[312] informe
[312] diario
[310] febrero
[302] ministeriosalud

Top Words in Tweet in G8:
[156] chibaken_kouhou
[127] co
[124] になります
[124] の新型コロナウイルス感染症の情報
[124] 土日祝日を除く
[124] 詳細データについてはこちらからご覧ください
[124] 県ホームページの更新は翌日
[112] 新規感染者数
[111] 本日
[110] multiple

Top Words in Tweet in G9:
[31] 国立感染症研究所
[31] の変異株について
[31] 新型コロナウイルス
[31] 感染
[31] 伝播性の増加や抗原性の変化が懸念される
[31] cov
[31] 第25報
[31] 2023年2月10日
[31] sars
[30] earl_covid19_tw

Top Words in Tweet in G10:
[474] co
[464] qnzux8c1z3
[464] 本日の新規陽性者数
[464] #新型コロナウイルス感染症情報
[464] うち重症者
[464] 詳細
[464] 本日の死亡者
[464] 現在の入院者数
[453] ibaraki_kouhou
[414] 検査前で症状がある方

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[732] covid,19
[472] 詳細,co
[472] co,qnzux8c1z3
[461] ibaraki_kouhou,#新型コロナウイルス感染症情報
[421] qnzux8c1z3,検査前で症状がある方
[312] informe,diario
[312] casos,activos
[312] diario,#covid_19
[312] casos,nuevos
[312] fallecidos,registrados

Top Word Pairs in Tweet in G1:
[56] didiercoquard2,partageinfos
[56] partageinfos,csapeforce
[56] csapeforce,belmehelzine
[55] gerardfiloche,didiercoquard2
[54] belmehelzine,crashdebug_fr
[46] alainsebil,gerardfiloche
[41] crashdebug_fr,sitting_bull_d
[38] mmtchi,tatiann69922625
[33] didiermaisto,zemmoureric
[33] jlmelenchon,didiermaisto

Top Word Pairs in Tweet in G2:
[162] covid,19
[133] very,sick
[129] sick,#covid19
[129] more,very
[103] updated,covid
[100] 19,booster
[99] #covid19,updated
[69] weakened,immune
[67] older,adults
[67] adults,more

Top Word Pairs in Tweet in G3:
[248] case,definition
[224] children,adolescents
[211] clinical,case
[152] #longcovid,children
[145] covid,19
[113] 19,condition
[111] #covid19,condition
[111] releases,clinical
[111] condition,#longcovid
[111] definition,#covid19

Top Word Pairs in Tweet in G4:
[9] april,2020
[9] johnincarlisle,youtube
[9] covid,19
[8] fatalfibers,badhatter353
[8] real_seeking,mattyboysmit1
[8] evejackson2011,cachepast
[8] takethatct,hansel21_
[8] pkdocker9,albowers1
[8] mattyboysmit1,amber84280581
[8] laymansscience,pkdocker9

Top Word Pairs in Tweet in G5:
[207] 달,사이
[207] 사람은,11명이라고
[207] 33,758명이고
[207] 오늘,코로나19로
[207] 인한,사망
[207] 계시나요,오늘
[207] 758명이고,2020년에
[207] 코로나19로,사망한
[207] 11명이라고,해요
[207] 사망한,사람은

Top Word Pairs in Tweet in G6:
[122] 2019,ncov
[109] covid,19
[98] cases,increase
[98] recombinomics,inc
[98] ncov,recombinomics
[97] covid,cases
[21] sars,cov
[15] learn,more
[14] deaths,12
[13] english,website

Top Word Pairs in Tweet in G7:
[312] casos,activos
[312] fallecidos,registrados
[312] diario,#covid_19
[312] informe,diario
[312] casos,nuevos
[301] ministeriosalud,informe
[220] registrados,64
[92] registrados,63
[86] activos,fallecidos
[69] activos,13

Top Word Pairs in Tweet in G8:
[124] 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
[124] 県ホームページの更新は翌日,土日祝日を除く
[124] 土日祝日を除く,になります
[112] の新型コロナウイルス感染症の情報,新規感染者数
[110] 本日の感染者はコチラ,co
[110] covid,19
[110] multiple,languages
[110] languages,covid
[110] information,multiple
[110] の広島県内の感染状況,本日の感染者はコチラ

Top Word Pairs in Tweet in G9:
[31] 新型コロナウイルス,sars
[31] 感染,伝播性の増加や抗原性の変化が懸念される
[31] sars,cov
[31] cov,の変異株について
[31] 2023年2月10日,国立感染症研究所
[31] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[31] の変異株について,第25報
[31] 第25報,2023年2月10日
[30] earl_covid19_tw,感染
[29] 小児の入院と重症者はでるわけで,小児はかかっても大丈夫じゃね

Top Word Pairs in Tweet in G10:
[464] 詳細,co
[464] co,qnzux8c1z3
[453] ibaraki_kouhou,#新型コロナウイルス感染症情報
[414] qnzux8c1z3,検査前で症状がある方
[257] 検査前で症状がある方,検査で陽性
[205] 本日の死亡者,2名
[205] 2名,詳細
[156] 0名,詳細
[156] 本日の死亡者,0名
[147] 検査前で症状がある方,検査で陽性と

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jgalt485
@yvespdb
@verity_france
@douglas14331893
@philkarasick
@i_am_johncullen
@outis_sandgrain
@carambaraaa
@daniela44490417

Top Replied-To in G1:
@_2019_ncov
@jgalt485
@yvespdb
@verity_france
@outis_sandgrain
@carambaraaa
@55bellechasse
@lesommierrgis
@daniela44490417
@marloubordo

Top Replied-To in G2:
@cdcgov
@kevinnbass
@bobs_johnsonhtx
@flsurgeongen
@lazaruslong13
@pedsgeekmd
@janainadobrasil
@johncarneyde
@edmundkudzayi
@doc_gero

Top Replied-To in G3:
@who
@peteuk7
@covidcastaways
@longcovidnews
@morrowind27
@dakota_150

Top Replied-To in G4:
@i_am_johncullen
@ptcjoneses
@vigilantfox
@ewoodhouse7
@dalet35692736
@shaneakaprop
@swaledalemutton
@kittykat99
@rt7683
@jason_willz1

Top Replied-To in G7:
@victorj33766425
@ministeriosalud

Top Replied-To in G8:
@ikaryakuchan

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@who
@cdcgov
@ministeriosalud
@_2019_ncov
@ghvillain1
@chibaken_kouhou
@hiroshima_pref
@yvespdb
@sergiodde

Top Mentioned in G1:
@_2019_ncov
@yvespdb
@sergiodde
@crashdebug_fr
@sitting_bull_d
@partageinfos
@jgalt485
@didiercoquard2
@csapeforce
@gerardfiloche

Top Mentioned in G2:
@cdcgov
@vaccinologie
@dianaberrent
@us_fda
@flsurgeongen
@cdcdirector
@alexander_tin
@reuters
@nbcnews
@foxnews

Top Mentioned in G3:
@who
@mvankerkhove
@carol_perelman
@longcovidkids
@cdcgov
@laurie_garrett
@rolandoug
@nextstrain
@asociacionpem
@longcovidch

Top Mentioned in G4:
@i_am_johncullen
@youtube
@mcfunny
@thisisnothappen
@ryanbeed
@johannaszabo1
@badhatter353
@p_mcculloughmd
@drelidavid
@rw_christian

Top Mentioned in G5:
@ghvillain1

Top Mentioned in G6:
@aureliobelandom
@zyrofoxtrot
@bosanskakaf

Top Mentioned in G7:
@ministeriosalud
@mevacuno
@ximenaguilera
@ccuadradon
@chefabiola
@gobiernodechile
@who

Top Mentioned in G8:
@chibaken_kouhou
@hiroshima_pref
@demauyo_tadaimo
@ibaraki_kouhou
@ikaryakuchan

Top Mentioned in G9:
@earl_covid19_tw
@neguse_de_gogo
@calcijp
@conchifrit992
@hiroshima_pref

Top Mentioned in G10:
@ibaraki_kouhou
@tsukubais

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@teamyoutube
@jurylady5
@matiere
@superalitita
@rodolfoxoliz
@eggry
@littlebytesnews
@lizditz

Top Tweeters in G1:
@threadreaderapp
@bfmtv
@yvespdb
@unrollhelper
@delalande72
@william85837998
@kitty_maggy
@gerardfiloche
@nhabouzite
@saveflix2

Top Tweeters in G2:
@reuters
@business
@micjojd
@cmargaronis
@tyberzannxxxx
@itswanda
@njdoc
@longfellowjean
@btsarmy_legit
@foxnews

Top Tweeters in G3:
@lilygabet
@silvrib
@1feralkat
@mig30m6
@joejaggi
@geoffypjohnston
@alittlebitroyal
@saffiya_khan1
@craigmatsuda
@jchilton666

Top Tweeters in G4:
@lizditz
@doritmi
@monstercoyliar
@mark_melbin
@takethatct
@mcfunny
@benzosarebad
@angryfleas
@frankdelia7
@soncharm

Top Tweeters in G5:
@eggry
@marshmallgom
@anne_xo1
@wkdtmdgml21
@q_bannh
@heeya3507
@kimbiqu
@panta_rhei825
@rmfhaltzkf
@09x11x09

Top Tweeters in G6:
@matiere
@personalfitnes3
@mary_swilling
@didaclopez
@lllpuplll
@louiedadawg
@setonoutikai
@utu_panic
@aureliobelandom
@ricehaha

Top Tweeters in G7:
@rodolfoxoliz
@ro_moyano_26
@trigorosa
@janecarvajal
@dragontauro
@mattyll
@branemark1
@rsalvop
@varancib
@laporres

Top Tweeters in G8:
@teaparty0000
@4823_tanaka
@atsushi48shm410
@iriyamazu_b
@turututukotokot
@sro7ztbvxqhbuo0
@choki0623
@miwa_1107
@ustlike
@mega_neo_less

Top Tweeters in G9:
@m0ni0
@kinasato_cap001
@mikan_alien
@otakutokkai
@tms063
@nmikanw
@super_haka
@azukiglg
@808cyatumi
@suuzanantonko

Top Tweeters in G10:
@shintochigi1
@takakura1982
@moriai8
@mutoh_z
@tsuka_kazunee
@sgr_kn
@dummyxtweet
@beer_prius
@contaxndigital
@yamano__88


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