NCoV, Twitter, 1/31/2022 11:28:11 AM, 271013


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NCoV_2022-01-31_02-19-41.xlsx
NCoV_2022-01-31_02-19-41.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 31, 2022
Short Description:
NCoV via NodeXL https://bit.ly/35HeeS9
@_2019_ncov
@cdcgov
@nextstrain
@firefoxx66
@ananda10149510
@neoneo36174646
@ibaraki_kouhou
@leonguardiangel
@701_kami
@chibaken_kouhou

Top hashtags:
#covid19
#新型コロナウイルス
#vaxfact
#vacunación
#omicron
#covid_19

Description:
Description
The graph represents a network of 8,020 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 Monday, 31 January 2022 at 10:44 UTC.

The requested start date was Monday, 31 January 2022 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, 16-hour, 20-minute period from Tuesday, 25 January 2022 at 20:03 UTC to Friday, 28 January 2022 at 12:24 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 : 8020
Unique Edges : 4721
Edges With Duplicates : 12255
Total Edges : 16976
Number of Edge Types : 5
Retweet : 4984
MentionsInRetweet : 6494
Tweet : 1073
Replies to : 1544
Mentions : 2881
Self-Loops : 1111
Reciprocated Vertex Pair Ratio : 0.01137241912333
Reciprocated Edge Ratio : 0.0224890829694323
Connected Components : 989
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 4490
Maximum Edges in a Connected Component : 12107
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.338868
Graph Density : 0.000142429809004114
Modularity : 0.526226
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,020 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 Monday, 31 January 2022 at 10:44 UTC.

The requested start date was Monday, 31 January 2022 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, 16-hour, 20-minute period from Tuesday, 25 January 2022 at 20:03 UTC to Friday, 28 January 2022 at 12:24 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:
[543] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[164] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[97] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[69] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[65] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[65] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html
[60] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html
[51] https://nextstrain.org/ncov/gisaid/global?l=clock
[48] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[35] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G1:
[13] https://twitter.com/nc_vert/status/1486439132188790786?t=7_xzAIa9VBA4w5Wa_f3SFA&s=09
[3] https://systems.jhu.edu/research/public-health/ncov/
[3] https://t.me/trottasilvano/18294
[3] https://twitter.com/RRetraite/status/1375216907444441090?t=Q_veI2SGL2L0f91ymvcZcA&s=19
[3] https://twitter.com/yukinek56432140/status/1486094619351953416?s=21
[3] https://www.courrier-picard.fr/id272232/article/2022-01-24/une-professeure-de-lettres-modernes-decede-apres-avoir-perdu-connaissance-au
[2] https://pgibertie.com/2022/01/26/le-seul-determinant-dune-faible-mortalite-est-la-possibilite-de-soins-precoces-autorisant-livermectine-inde-indonesie-japon/
[2] https://threadreaderapp.com/thread/1401967205374476293.html
[2] https://www.youtube.com/watch?v=okPl8AZ-ZqA&feature=youtu.be

[2] https://odysee.com/@Le_chat:f/D%C3%A9c%C3%A8s-acteur-FINI-UP-720:b

Top URLs in Tweet in G2:
[6] https://nextstrain.org/groups/neherlab/ncov/norway?m=div
[3] https://nextstrain.org/ncov/gisaid/global/2022-01-26?branchLabel=none&f_clade_membership=20H%20%28Beta,%20V2%29,20I%20%28Alpha,%20V1%29,21A%20%28Delta%29,21C%20%28Epsilon%29,21G%20%28Lambda%29,21H%20%28Mu%29,21I%20%28Delta%29,21J%20%28Delta%29,21K%20%28Omicron%29,21L%20%28Omicron%29,20J%20%28Gamma,%20V3%29&l=unrooted&m=div
[3] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6313&contSeq=6313&board_id=312&gubun=ALL
[3] https://sanfrancisco.cbslocal.com/2022/01/13/bay-area-expert-says-a-quarter-of-americans-with-omicron-may-be-asymptomatic/
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html
[2] https://nextstrain.org/ncov/gisaid/global?c=mutational_fitness
[2] https://nextstrain.org/ncov/gisaid/africa
[2] https://nextstrain.org/ncov/gisaid/global?dmin=2021-06-13&l=clock
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-BNT162b2-2021.1
[2] https://www.who.int/news-room/feature-stories/detail/who-can-take-the-pfizer-biontech-covid-19--vaccine-what-you-need-to-know

Top URLs in Tweet in G3:
[17] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/index.html

Top URLs in Tweet in G4:
[520] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[10] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[3] https://corona.go.jp/emergency/
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220128_shiryoteikyo.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220126_shiryoteikyo.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220127_shiryoteikyo.pdf
[1] https://twitter.com/ibaraki_kouhou/status/1486638045957062659
[1] https://twitter.com/ibaraki_kouhou/status/1486267936729821185

Top URLs in Tweet in G5:
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.cov19-vaccine.mhlw.go.jp/qa/0111.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10880-covid19-66.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10899-covid19-67.html
[1] https://twitter.com/baby_kamex/status/1481478250266525699
[1] https://twitter.com/kimuramoriyo/status/1485926477808140289?s=20
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G6:
[19] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[17] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html
[17] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/28-gener/
[12] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html
[9] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[6] https://nextstrain.org/ncov/gisaid/global
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html

Top URLs in Tweet in G7:
[46] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html
[22] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10941-covid19-69.html
[18] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10933-503c01.html
[4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/sesshugaiyo.html#cms31933
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10465-496d04.html
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/sesshugaiyo.html
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/yosei-noko/20201201_01_co19.html
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html

Top URLs in Tweet in G8:
[148] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[16] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti52.html
[3] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma.html
[2] https://pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[1] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/tokyocenter-chibaken.html
[1] https://www.city.matsudo.chiba.jp/matfd/oshirase/ncov.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html

Top URLs in Tweet in G9:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-benefits.html#:~:text=What%20You%20Need%20to%20Know,ages%205%20years%20and%20older
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1083401
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/racial-ethnic-disparities/disparities-hospitalization.html
[1] https://www.cdc.gov/vaccines/acip/meetings/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html

Top URLs in Tweet in G10:
[95] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[8] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220125.html#a1-1
[4] https://www.catapoke.com/viewer/?open=62b3f
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220124.html#b
[2] https://www.youtube.com/watch?v=iAVytl6I5IU

[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220125.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/covid19-support-sanhachi.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1106] cdc.gov
[591] ibaraki.jp
[360] lg.jp
[273] go.jp
[193] gob.es
[124] recombinomics.co
[118] nextstrain.org
[114] twitter.com
[71] gencat.cat
[59] who.int

Top Domains in Tweet in G1:
[49] twitter.com
[6] pgibertie.com
[3] co.uk
[3] jhu.edu
[3] youtube.com
[3] odysee.com
[3] t.me
[3] courrier-picard.fr
[2] reporterre.net
[2] thegatewaypundit.com

Top Domains in Tweet in G2:
[24] nextstrain.org
[6] cdc.gov
[6] go.jp
[5] go.kr
[4] who.int
[3] cbslocal.com
[3] gob.es
[2] medrxiv.org
[1] ucsc.edu
[1] twitter.com

Top Domains in Tweet in G3:
[124] cdc.gov
[7] twitter.com
[1] go.jp
[1] hhs.gov
[1] phe.gov
[1] idsociety.org
[1] ow.ly

Top Domains in Tweet in G4:
[537] ibaraki.jp
[3] go.jp
[2] twitter.com

Top Domains in Tweet in G5:
[20] go.jp
[4] ibaraki.jp
[2] twitter.com
[1] cdc.gov

Top Domains in Tweet in G6:
[173] cdc.gov
[69] go.jp
[40] ibaraki.jp
[33] gob.es
[31] lg.jp
[30] gencat.cat
[12] twitter.com
[9] nextstrain.org
[9] tokyo.jp
[8] go.kr

Top Domains in Tweet in G7:
[93] go.jp
[12] tokyo.jp
[5] lg.jp
[5] twitter.com
[1] cdc.gov
[1] okinawa.jp
[1] who.int

Top Domains in Tweet in G8:
[177] lg.jp
[1] chiba.jp
[1] ibaraki.jp

Top Domains in Tweet in G9:
[9] cdc.gov
[1] publichealthontario.ca
[1] bvsalud.org

Top Domains in Tweet in G10:
[111] lg.jp
[4] catapoke.com
[2] youtube.com
[1] ibaraki.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[794] covid19
[475] 新型コロナウイルス
[108] vaxfact
[54] vacunación
[40] omicron
[35] covid_19
[33] nedenaşıolmamalıyız
[32] covid
[28] coronavirus
[24] 茨城県



Top Hashtags in Tweet in G1:
[17] covid_19
[5] canada
[3] tir
[3] pfizer
[3] covid19
[3] fifa
[3] ivermectine
[3] tirs
[3] passvaccinaldelahonte
[2] myocardite

Top Hashtags in Tweet in G2:
[2] omicron
[2] covid19

Top Hashtags in Tweet in G3:
[560] covid19
[107] vaxfact
[12] omicron
[8] parents
[8] caregivers
[5] covid
[4] omicronvariant
[2] travel
[2] cdc
[2] cancer

Top Hashtags in Tweet in G4:
[456] 新型コロナウイルス
[8] 守谷市新型コロナウイルス関連情報
[8] 茨城県
[5] 龍ケ崎
[4] 守谷市
[4] まん延防止等重点措置
[3] 龍ケ崎市コロナ対策
[1] いばらきアマビエちゃん

Top Hashtags in Tweet in G5:
[3] 新型コロナウイルス

Top Hashtags in Tweet in G6:
[35] covid19
[12] 新型コロナウイルス
[10] 茨城県
[9] yomevacunoseguro
[5] coronavirus
[4] cdc
[4] vacunación
[3] オミクロン株
[3] foxnews
[3] omicron

Top Hashtags in Tweet in G7:
[4] 練馬区
[3] コロナウイルス
[3] 陽性
[3] 自宅療養
[3] 宿泊療養
[3] 入院
[3] pcr検査後
[3] コロナ陽性
[1] ワクチン

Top Hashtags in Tweet in G8:
[16] 佐倉
[16] sakuracity
[6] 千葉県庁
[3] まん延防止等重点措置
[1] 松戸

Top Hashtags in Tweet in G10:
[4] 広島県
[4] 新型コロナ
[3] covid19
[1] 新型コロナウイルス

Top Words
Top Words in Tweet in Entire Graph:
[1135] covid
[901] omicron
[887] 19
[858] _2019_ncov
[794] #covid19
[700] ho
[685] nextstrain
[683] visual
[681] build
[681] family

Top Words in Tweet in G1:
[854] _2019_ncov
[144] ce
[87] c'est
[81] peut
[79] louan07
[78] plus
[77] ils
[75] sont
[71] tout
[70] été

Top Words in Tweet in G2:
[659] nextstrain
[658] omicron
[656] firefoxx66
[656] family
[655] build
[655] nice
[655] visual
[655] display
[655] distant
[655] everything

Top Words in Tweet in G3:
[650] cdcgov
[560] #covid19
[311] covid
[299] 19
[233] vaccine
[160] people
[151] vaccines
[148] side
[148] effects
[147] health

Top Words in Tweet in G4:
[580] ibaraki_kouhou
[502] 1名
[456] #新型コロナウイルス
[451] 感染症情報
[451] 本日の新規陽性者数
[451] 現在の入院者数
[451] うち重症者数
[314] 本日の死亡者数
[312] まん延防止等重
[249] co

Top Words in Tweet in G5:
[364] sars
[364] cov
[364] 529系統
[364] オミクロン株
[363] 2の変異株b
[363] について
[362] 第6報
[362] 01
[360] オミクロンの海外での致死率約0
[360] 季節性インフルエンザの十分の一

Top Words in Tweet in G6:
[141] covid
[131] 19
[47] more
[37] sars
[37] 2022
[37] ncov
[35] cdc
[35] #covid19
[35] cov
[34] vaccine

Top Words in Tweet in G7:
[110] cov
[84] sars
[84] 529系統
[83] オミクロン株
[77] earl_covid19_tw
[72] 感染による新型コロナウイルス感染症の積極的疫学調査
[72] sukunabikona7
[66] 国立感染症研究所
[64] 第3報
[64] 新型コロナウイルス無症状病原体保有者におけるウイルス排出期間

Top Words in Tweet in G8:
[141] の新型コロナウイルス感染症の情報
[141] 新規感染者数
[141] 詳細データについてはこちらからご覧ください
[141] 県ホームページの更新は翌日になります
[137] chibaken_kouhou
[108] モリシア津田沼
[101] おはようございます
[101] 昨日定例記者会見にて県営の集団接種会場の設置を発表しました
[101] 予約は2月7日正午から
[101] 接種は15日から開始します

Top Words in Tweet in G9:
[4] kayvonpaul
[4] mdrisette
[4] sallyjiggles
[3] cern_lxxl
[3] bentdepraved
[3] zypisfy
[3] badgervindaloo
[3] zapher134
[3] tk_the_kitsune
[3] ravenlove69

Top Words in Tweet in G10:
[209] hiroshima_pref
[95] 本日
[95] の広島県内の感染状況
[95] 本日の感染者はコチラ
[95] information
[95] multiple
[95] languages
[95] covid
[95] 19
[67] co

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[788] covid,19
[678] nice,visual
[678] visual,display
[678] display,distant
[678] family,everything
[676] filtered,nextstrain
[676] nextstrain,build
[676] build,gives
[676] gives,nice
[676] distant,omicron

Top Word Pairs in Tweet in G1:
[56] vaccination,masse
[54] système,immunitaire
[53] paolo,puccetti
[53] puccetti,vaccination
[53] masse,n'a
[53] n'a,été
[53] été,pertinente
[53] pertinente,insister
[53] insister,doses
[53] doses,peut

Top Word Pairs in Tweet in G2:
[655] nice,visual
[655] visual,display
[655] display,distant
[655] family,everything
[653] filtered,nextstrain
[653] nextstrain,build
[653] build,gives
[653] gives,nice
[653] distant,omicron
[653] omicron,family

Top Word Pairs in Tweet in G3:
[299] covid,19
[218] #covid19,vaccine
[148] side,effects
[141] people,#covid19
[141] #covid19,lasting
[141] problems,fatigue
[141] fatigue,loss
[141] loss,smell
[141] smell,taste
[141] taste,shortness

Top Word Pairs in Tweet in G4:
[451] #新型コロナウイルス,感染症情報
[447] ibaraki_kouhou,#新型コロナウイルス
[314] 本日の死亡者数,1名
[247] うち重症者数,2名
[247] 詳細は,co
[218] 日,まで
[188] 感染症情報,1月26日
[188] 1月26日,本日の新規陽性者数
[188] 本日の新規陽性者数,861名
[188] 861名,現在の入院者数

Top Word Pairs in Tweet in G5:
[364] sars,cov
[364] 529系統,オミクロン株
[363] cov,2の変異株b
[363] 2の変異株b,529系統
[363] オミクロン株,について
[362] について,第6報
[360] 第6報,オミクロンの海外での致死率約0
[360] オミクロンの海外での致死率約0,01
[360] 01,季節性インフルエンザの十分の一
[360] 季節性インフルエンザの十分の一,日本は包括的なデータとっていないからわからいちゃわからないけれど

Top Word Pairs in Tweet in G6:
[111] covid,19
[35] sars,cov
[24] english,website
[24] website,updated
[24] updated,visit
[23] 529系統,オミクロン株
[20] 19,vaccine
[16] learn,more
[16] contra,covid
[14] cov,2の変異株b

Top Word Pairs in Tweet in G7:
[84] sars,cov
[83] 529系統,オミクロン株
[82] cov,529系統
[72] オミクロン株,感染による新型コロナウイルス感染症の積極的疫学調査
[64] 感染による新型コロナウイルス感染症の積極的疫学調査,第3報
[63] 第3報,新型コロナウイルス無症状病原体保有者におけるウイルス排出期間
[63] 新型コロナウイルス無症状病原体保有者におけるウイルス排出期間,令和4年1月27日
[63] 令和4年1月27日,国立感染症研究所
[60] earl_covid19_tw,sars
[43] 一方,ウイルス分離可能な

Top Word Pairs in Tweet in G8:
[141] の新型コロナウイルス感染症の情報,新規感染者数
[141] 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
[101] おはようございます,昨日定例記者会見にて県営の集団接種会場の設置を発表しました
[101] 昨日定例記者会見にて県営の集団接種会場の設置を発表しました,予約は2月7日正午から
[101] 予約は2月7日正午から,接種は15日から開始します
[101] 接種は15日から開始します,接種会場は野村不動産グループのご協力を頂き
[101] 接種会場は野村不動産グループのご協力を頂き,jr津田沼駅に近接する複合商業施設の
[101] jr津田沼駅に近接する複合商業施設の,モリシア津田沼
[100] kumagai_chiba,おはようございます
[100] モリシア津田沼,となりま

Top Word Pairs in Tweet in G9:
[3] bentdepraved,zypisfy
[3] zypisfy,badgervindaloo
[3] badgervindaloo,zapher134
[3] zapher134,tk_the_kitsune
[3] tk_the_kitsune,ravenlove69
[3] ravenlove69,a_damned_smith
[3] a_damned_smith,letmeasq
[3] letmeasq,wondersnorbit
[2] wondersnorbit,praisehisname50
[2] praisehisname50,wolfpak561

Top Word Pairs in Tweet in G10:
[95] の広島県内の感染状況,本日の感染者はコチラ
[95] information,multiple
[95] multiple,languages
[95] languages,covid
[95] covid,19
[91] hiroshima_pref,本日
[62] 本日の感染者はコチラ,co
[60] 新型コロナ,知事メッセージ
[58] hiroshima_pref,新型コロナ
[43] 外出を半分に,特に20時以降は削減

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@crepin_sylvain
@louan07
@arval27510
@robertopara08
@j2lm4u
@ilovesterlin
@ukxf4blpkn7w1em
@lillycachou
@christe1delvoye

Top Replied-To in G1:
@_2019_ncov
@crepin_sylvain
@louan07
@robertopara08
@arval27510
@j2lm4u
@maxlame48897704
@christe1delvoye
@lillycachou
@jeansaisrie

Top Replied-To in G2:
@josetteschoenma
@loaf_daily
@elizavetaka
@nanmorand
@mullingmueller
@mr_raidermd
@naocchin1
@kmatteo

Top Replied-To in G3:
@cdcgov
@daily_express
@echn1998
@newskag
@sandrine_sbh
@guzmankacie
@noahsalmeri23
@expodubai2020uy
@cdcdirector
@abqdean

Top Replied-To in G4:
@z_mutoh

Top Replied-To in G5:
@kantei
@be_dreamn
@kasukabecity_pr
@sekkai
@torutoridamari
@cocoa_leadoff
@ninaspq
@annjyu01

Top Replied-To in G6:
@botoronga

Top Replied-To in G7:
@sukunabikona7
@earl_covid19_tw

Top Replied-To in G9:
@bentdepraved
@sallyjiggles
@i_dont_care_al1
@robertfritzenk2
@factsarebiased
@premierimproves
@patrici46824123
@parker3979

Top Mentioned
Top Mentioned in Entire Graph:
@nextstrain
@firefoxx66
@cdcgov
@ibaraki_kouhou
@kimuramoriyo
@_2019_ncov
@hiroshima_pref
@chibaken_kouhou
@golden_pup
@publichealthon

Top Mentioned in G1:
@_2019_ncov
@louan07
@medic4allhuman
@jeanpierreg9
@papanours60
@crepin_sylvain
@ventre_bleu30
@papi69465720
@natly12533573
@lrestistant73

Top Mentioned in G2:
@nextstrain
@firefoxx66
@joel_mossong
@ballouxfrancois
@josetteschoenma
@richardneher
@melmarkoski
@cdcgov
@shanghai_ii
@hjelle_brian

Top Mentioned in G3:
@cdcgov
@cdcemergency
@jljcolorado
@hhsgov
@cdctravel
@snhdinfo
@charityh4tw
@alexander_tin
@jaldanabula
@usedgov

Top Mentioned in G4:
@ibaraki_kouhou
@ibk44
@tsukubais
@kitaibarakicity
@moriya_citypro
@ryugasaki_city
@maxspeed1000km
@hoshidakoji

Top Mentioned in G5:
@kimuramoriyo
@kantei
@smiura3000
@kishida230
@z8zlqj8yjefwai8
@2ophmazhbjjhvho
@ibaraki_kouhou
@sekkai
@torutoridamari
@kasukabecity_pr

Top Mentioned in G6:
@drml350phd
@cather435
@utatroo
@takedasorairo

Top Mentioned in G7:
@earl_covid19_tw
@sukunabikona7
@nerima_tokyo
@mph_for_doctors
@jaidsenmoni
@tosh_taniguc
@carpe_diem0820
@stove_san
@aiko360
@motoisuzuki

Top Mentioned in G8:
@chibaken_kouhou
@kumagai_chiba
@bousai_sakura
@chiba_bousai
@kisarazu_city
@ayano_kunimitsu
@matsudo_city

Top Mentioned in G9:
@kayvonpaul
@mdrisette
@cern_lxxl
@zypisfy
@badgervindaloo
@zapher134
@tk_the_kitsune
@ravenlove69
@a_damned_smith
@letmeasq

Top Mentioned in G10:
@hiroshima_pref
@aoihana1213
@cdcgov
@ibaraki_kouhou
@chibaken_kouhou

Top Tweeters
Top Tweeters in Entire Graph:
@tesco
@danielpilotte1
@myfavoritescene
@kittenish823
@tradermarcocost
@teamyoutube
@matiere
@_redfrog
@washiro
@citrus_kyoto

Top Tweeters in G1:
@danielpilotte1
@4tchat
@le_figaro
@bfmtv
@skynews
@le_parisien
@yvespdb
@ouestfrance
@carrionnat
@delalande72

Top Tweeters in G2:
@derekjohnbryant
@cordwainerscat
@anthropic
@denisesq
@docarnica
@mig30m6
@malqahtani2011
@jwahjwah
@197winstonsmith
@monasmitte

Top Tweeters in G3:
@john1966olsen
@daily_express
@rosenchild
@scott1984fp
@sueleugers
@rebellegrrl
@tyberzannxxxx
@njdoc
@bad_woof
@freeandclear1

Top Tweeters in G4:
@westinghouse565
@shintochigi1
@amzkhb
@kuins
@mutoh_z
@y_okada_6_8
@noel_hasui
@tsuka_kazunee
@nonomaru116
@yasu_osugi

Top Tweeters in G5:
@takastable
@taji_na
@mogura_ossan
@hiyo_hairyheart
@shada026
@ysteev
@nemuribito
@bowkei
@takiwasa
@nihonnouen

Top Tweeters in G6:
@matiere
@justiceoutcry
@gooochin
@personalfitnes3
@jjhuqpwjakk7cpr
@hounds02
@wavetossed
@didaclopez
@taturon
@haolethai

Top Tweeters in G7:
@myfavoritescene
@madfall1213
@sakumariko
@nerimabot2
@paku
@yuki22luna
@c50cub96
@makoto1987
@raihatori
@andy_sv650s

Top Tweeters in G8:
@tomotch
@ttachibana0720
@ma108p
@aqmr
@youichi1215
@cfihr22
@reiko124556hige
@m_chesha
@kohnagao
@mihamataro

Top Tweeters in G9:
@adevotedyogi
@doritmi
@takethatdarwin
@zapher134
@zypisfy
@monstercoyliar
@kath2cats
@wjack76995
@jsaholmes
@mcfunny

Top Tweeters in G10:
@wadakashiho
@kozakuraz9
@4823_tanaka
@miwanoharu
@turututukotokot
@sakiku_bpts
@berry_berry8059
@akashi1nuzuka
@sakurikusaku
@ts_11yh


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