NCoV, Twitter, 1/9/2023 6:36:11 PM, 287544


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NCoV_2023-01-09_02-30-01.xlsx
NCoV_2023-01-09_02-30-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 09, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3Ixsf6b
@p_mcculloughmd
@cdcgov
@_2019_ncov
@scottgottliebmd
@collignonpeter
@kelleykga
@tm_quencher
@jesslovesmjk
@hiroshima_pref
@spaceyourface2

Top hashtags:
#新型コロナウイルス感染症情報
#covid19
#covid_19
#covid
#cdc
#xbb
#千葉県
#vacunación

Description:
Description
The graph represents a network of 5,527 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1090-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Monday, 09 January 2023 at 00:59 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 : 5527
Unique Edges : 3297
Edges With Duplicates : 11859
Total Edges : 15156
Number of Edge Types : 9
Replies to : 1715
MentionsInReplyTo : 4172
Retweet : 3381
MentionsInRetweet : 4384
Tweet : 579
Mentions : 148
MentionsInQuoteReply : 701
Quote : 58
MentionsInQuote : 18
Self-Loops : 922
Reciprocated Vertex Pair Ratio : 0.0397635679742074
Reciprocated Edge Ratio : 0.0764857881136951
Connected Components : 516
Single-Vertex Connected Components : 176
Maximum Vertices in a Connected Component : 3823
Maximum Edges in a Connected Component : 11291
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.237773
Graph Density : 0.000253419841830658
Modularity : 0.477485
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,527 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1090-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Monday, 09 January 2023 at 00:59 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:
[275] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[114] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[88] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[65] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[62] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[56] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[37] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[30] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[29] https://t.me/yizhihua001
[28] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html

Top URLs in Tweet in G1:
[5] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?utm_campaign=post&utm_medium=web
[2] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resourc%20e/en/covidwho-1360706
[2] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression
[1] https://twitter.com/i/web/status/1610992564928405504
[1] https://twitter.com/i/web/status/1610992107019468803
[1] https://www.afternic.com/forsale/check.org?utm_source=TDFS&utm_medium=sn_affiliate_click&utm_campaign=TDFS_Affiliate_namefind_direct8&traffic_type=CL3&traffic_id=Namefind
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?r=1hkv73&utm_campaign=post&utm_medium=web
[1] https://www.sciencedirect.com/science/article/pii/S0735109720358885
[1] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-5104

Top URLs in Tweet in G2:
[4] https://twitter.com/Fart47404663/status/1611820077921492993?t=Pay2zc3Yv38ea2LwQKx06Q&s=19
[4] https://twitter.com/Lophora1/status/1609959322229919744/photo/1
[4] https://twitter.com/THEVENONPierri1/status/1611873595210305536/photo/1
[3] https://twitter.com/PlumeBleue12/status/1612068140825071616/photo/1
[2] https://twitter.com/_2019_nCoV/status/1611651826591453184/photo/1
[2] https://twitter.com/PanDanTag/status/1592691959189340161
[2] https://twitter.com/UnJoaillier/status/1611827463759495168/photo/1
[2] https://twitter.com/JeanStp43108112/status/1611428741124878336/photo/1
[2] https://twitter.com/v_joron/status/1611324021588611074?t=duCDe2HAnqjXFfSGaL2T3Q&s=08
[2] https://twitter.com/MaxGratiss/status/1612190256337502209/photo/1

Top URLs in Tweet in G3:
[26] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[3] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?sc_lang=en
[2] https://twitter.com/DellaLuna/status/1610596476954247170
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://covid.cdc.gov/covid-data-tracker/#county-view?list_select_state=all_states&list_select_county=all_counties&data-type=Risk&null=Risk
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html
[2] https://twitter.com/CDCgov/status/1608875618497867776

Top URLs in Tweet in G4:
[7] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?utm_source=substack&utm_medium=email
[4] https://twitter.com/444XXXXXXX444/status/1611532715861446658/photo/1
[3] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[1] https://twitter.com/Plevdog/status/1611931332892069888/photo/1
[1] https://twitter.com/rodochri90/status/1611158706661765121?t=72kQaw7kvQBxdfQ7F9KAQQ&s=19
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/index.html
[1] https://twitter.com/Jikkyleaks/status/1610888191342710787/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html

Top URLs in Tweet in G5:
[10] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://c11.kr/196gt
[8] https://ncv.kdca.go.kr/ncov
[6] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[6] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?utm_campaign=post&utm_medium=web
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin

Top URLs in Tweet in G6:
[268] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] 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/index.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1611990161180745728/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610894040995860485/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611258842922496000/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1611622753576292352/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610168959868731392/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1610541876880498689/photo/1
[1] https://twitter.com/IBK44/status/1611268108504952832/photo/1

Top URLs in Tweet in G7:
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/11736-covid19-ab112th.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[2] https://twitter.com/COVID_19_Info_/status/1610769862640676870/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://twitter.com/TM_Quencher/status/1611483148734595072/photo/1
[1] https://twitter.com/KelleyKga/status/1611429892255789058
[1] https://twitter.com/morilyn1123/status/1610829942606155777
[1] https://twitter.com/koichi_kawakami/status/1469639951000403973?s=20&t=LJOLrrBpOz5tHPHxG_cwIg

Top URLs in Tweet in G8:
[2] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?r=9fn9l&utm_medium=ios&utm_campaign=post
[2] https://jessicar.substack.com/p/does-sars-ncov-2-spike-protein-expression?utm_medium=web
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/vaccines/covid-19/info-by-product/pfizer/reactogenicity.html
[1] https://www.cdc.gov/vaccines/covid-19/info-by-product/moderna/reactogenicity.html
[1] https://twitter.com/BreezerGalway/status/1554853726279671810
[1] https://www.acog.org/womens-health/faqs/coronavirus-covid-19-pregnancy-and-breastfeeding
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/pregnancy-breastfeeding.html#:~:text=Current%20evidence%20suggests%20that%20breast,become%20pregnant%20in%20the%20future
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/serology.html

Top URLs in Tweet in G9:
[111] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[4] https://www.catapoke.com/viewer/?open=62b3f
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/korona-kamo.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[1] https://twitter.com/hiroshima_pref/status/1612003675861295105/photo/1
[1] https://twitter.com/hiroshima_pref/status/1610897636462104579/photo/1
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message
[1] https://twitter.com/hiroshima_pref/status/1611286826458791939/video/1
[1] https://twitter.com/hiroshima_pref/status/1611286461436813312/photo/1
[1] https://twitter.com/hiroshima_pref/status/1611633863901564928/photo/1

Top URLs in Tweet in G10:
[6] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1612087373432750081/photo/1
[1] https://twitter.com/ministeriosalud/status/1611001751934570496/photo/1
[1] https://twitter.com/ministeriosalud/status/1611361963849793537/photo/1
[1] https://twitter.com/ministeriosalud/status/1611730101049098241/photo/1
[1] https://twitter.com/ministeriosalud/status/1609909735595155456/photo/1
[1] https://twitter.com/ministeriosalud/status/1610665260481929217/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[726] twitter.com
[666] cdc.gov
[293] ibaraki.jp
[234] lg.jp
[84] go.jp
[79] substack.com
[57] recombinomics.co
[40] gob.es
[37] who.int
[34] go.kr

Top Domains in Tweet in G1:
[8] substack.com
[4] twitter.com
[3] bvsalud.org
[1] afternic.com
[1] cdc.gov
[1] sciencedirect.com
[1] org.pl

Top Domains in Tweet in G2:
[159] twitter.com
[7] youtube.com
[3] pgibertie.com
[3] substack.com
[3] threadreaderapp.com
[2] naturalnews.com
[2] lemonde.fr
[2] lexpress.fr
[2] odysee.com
[2] j.ai

Top Domains in Tweet in G3:
[66] cdc.gov
[32] twitter.com
[3] publichealthontario.ca
[1] who.int
[1] youtube.com
[1] rtlnieuws.nl
[1] vaccines.gov

Top Domains in Tweet in G4:
[14] substack.com
[13] twitter.com
[7] cdc.gov
[5] gov.uk
[2] nih.gov
[1] gettr.com
[1] fda.gov
[1] nextstrain.org
[1] gov.au
[1] tagesschau.de

Top Domains in Tweet in G5:
[94] cdc.gov
[92] twitter.com
[57] recombinomics.co
[30] substack.com
[13] go.jp
[12] go.kr
[11] ibaraki.jp
[11] lg.jp
[9] co.jp
[8] c11.kr

Top Domains in Tweet in G6:
[276] ibaraki.jp
[7] twitter.com

Top Domains in Tweet in G7:
[9] go.jp
[6] twitter.com
[3] cdc.gov
[1] theguardian.com

Top Domains in Tweet in G8:
[12] cdc.gov
[5] substack.com
[2] twitter.com
[1] acog.org
[1] fda.gov

Top Domains in Tweet in G9:
[115] lg.jp
[6] twitter.com
[4] catapoke.com
[2] ibaraki.jp

Top Domains in Tweet in G10:
[6] minsal.cl
[6] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[270] 新型コロナウイルス感染症情報
[189] covid19
[183] covid_19
[32] covid
[31] cdc
[24] xbb
[13] 千葉県
[13] vacunación
[12] sarscov2
[12] covidisairborne



Top Hashtags in Tweet in G1:
[2] courageousdiscourse
[1] demagog2022

Top Hashtags in Tweet in G2:
[8] covid_19
[3] pfizer
[2] edf
[2] moderna
[2] ia
[2] spike
[2] stoptheshotsnow
[2] stoptheshots
[2] globonews
[1] fractureenergétique

Top Hashtags in Tweet in G3:
[114] covid19
[23] cdc
[23] xbb
[23] covid
[2] xbb15
[2] oversterfte
[1] mandatemasks
[1] bringbackmasks
[1] masktransit
[1] travel

Top Hashtags in Tweet in G4:
[3] spikeopathy
[1] humpgate
[1] tgagate
[1] mrna
[1] pfizer
[1] lockdown
[1] covid
[1] masks
[1] stoptheshots
[1] vaccinedeath

Top Hashtags in Tweet in G5:
[8] covid19
[5] neverfallmedia
[4] 안전안내
[4] mmiw
[4] icwa
[4] winnipeg
[4] blacksnake
[4] mmiwg
[4] winnipeglandfill
[4] 의정부시청

Top Hashtags in Tweet in G6:
[267] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G7:
[1] 空港検疫をpcrに戻して下さい

Top Hashtags in Tweet in G9:
[4] 広島県
[4] 新型コロナ
[2] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G10:
[175] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[1290] protein
[1254] ce
[1163] p_mcculloughmd
[1161] genetic
[1160] foreign
[1159] permanent
[1156] synthetic
[1155] code
[1155] caps
[1155] nucleoside

Top Words in Tweet in G1:
[1124] p_mcculloughmd
[1121] protein
[1119] genetic
[1119] 5'
[1119] 3'
[1119] nucleoside
[1119] foreign
[1119] caps
[1119] permanent
[1119] code

Top Words in Tweet in G2:
[783] _2019_ncov
[98] ce
[95] plus
[91] c'est
[68] ça
[58] sont
[55] aux
[50] crashdebug_fr
[47] par
[46] sitting_bull_d

Top Words in Tweet in G3:
[451] masks
[374] cdcgov
[318] covid
[312] 19
[237] community
[223] recommended
[223] levels
[222] catch
[221] great
[221] webpage

Top Words in Tweet in G4:
[191] jesslovesmjk
[124] rose
[124] parsifaler
[124] jessica
[124] those
[122] deep
[122] recent
[122] dive
[122] astounding
[122] findings

Top Words in Tweet in G5:
[171] covid
[112] ncov
[96] 19
[89] 2019
[64] cases
[58] increase
[57] recombinomics
[57] deaths
[57] inc
[36] sars

Top Words in Tweet in G6:
[273] 本日の新規陽性者数
[273] co
[273] 現在の入院者数
[267] 検査前で症状がある方
[267] #新型コロナウイルス感染症情報
[267] うち重症者
[267] 詳細
[267] 本日の死亡者
[265] qnzux8c1z3
[261] ibaraki_kouhou

Top Words in Tweet in G7:
[119] 12
[118] をxbb
[118] 31迄の週で18
[118] 5の感染力
[118] 6迄の週で28
[118] 2023
[118] 予測区間
[118] 伝播性
[118] 昨年末の段階で米国内の変異株の41
[118] 5が占めていたとのcdcの推計は2022

Top Words in Tweet in G8:
[5] takethatct
[5] protein
[5] breezergalway
[5] ncov
[4] aspalaasnasntyr
[4] barryjohnreid21
[4] maureenstroud
[4] cdc
[4] mcfunny
[4] sars

Top Words in Tweet in G9:
[159] hiroshima_pref
[117] co
[111] languages
[111] の広島県内の感染状況
[111] 本日
[111] covid
[111] information
[111] 19
[111] multiple
[111] 本日の感染者はコチラ

Top Words in Tweet in G10:
[350] casos
[175] enero
[175] fallecidos
[175] activos
[175] nuevos
[175] registrados
[175] #covid_19
[175] informe
[175] diario
[175] 63

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1155] genetic,code
[1155] 5',caps
[1155] permanent,installation
[1155] nucleoside,3'
[1155] foreign,genetic
[1155] synthetic,nucleoside
[1155] protein,ubiquitous
[1155] 3',5'
[1155] caps,permanent
[1155] installation,protein

Top Word Pairs in Tweet in G1:
[1119] caps,permanent
[1119] installation,protein
[1119] 5',caps
[1119] code,synthetic
[1119] nucleoside,3'
[1119] protein,ubiquitous
[1119] permanent,installation
[1119] foreign,genetic
[1119] synthetic,nucleoside
[1119] genetic,code

Top Word Pairs in Tweet in G2:
[23] _2019_ncov,verity_france
[20] jlmelenchon,didiermaisto
[20] merkaba72,crashdebug_fr
[18] robertkennedyjr,cristianterhes
[18] tuckercarlson,robertkennedyjr
[17] didiermaisto,zemmoureric
[17] crashdebug_fr,gaelianprincess
[17] zemmoureric,j_bardella
[16] sitting_bull_d,bourgeoiseliane
[16] crashdebug_fr,sitting_bull_d

Top Word Pairs in Tweet in G3:
[303] covid,19
[223] community,levels
[222] masks,recommended
[222] 19,community
[221] catch,cdcgov
[221] cdcgov,masks
[221] masks,webpage
[221] great,catch
[221] webpage,covid
[221] levels,masks

Top Word Pairs in Tweet in G4:
[124] jessica,rose
[122] astounding,jessica
[122] those,interested
[122] rose,fabulous
[122] recent,findings
[122] deep,dive
[122] jesslovesmjk,astounding
[122] interested,jesslovesmjk
[122] dive,recent
[122] fabulous,deep

Top Word Pairs in Tweet in G5:
[89] covid,19
[86] 2019,ncov
[57] cases,increase
[57] recombinomics,inc
[57] ncov,recombinomics
[56] covid,cases
[17] spike,protein
[16] intracellular,chemokine
[16] stress,upregulation
[16] chemokine,mrna

Top Word Pairs in Tweet in G6:
[267] 詳細,co
[265] qnzux8c1z3,検査前で症状がある方
[265] co,qnzux8c1z3
[261] ibaraki_kouhou,#新型コロナウイルス感染症情報
[191] 検査前で症状がある方,検査で陽
[140] 31名,本日の死亡者
[140] 6名,詳細
[140] 本日の死亡者,6名
[140] うち重症者,31名
[90] 本日の新規陽性者数,242名

Top Word Pairs in Tweet in G7:
[118] 12,31迄の週で18
[118] 31迄の週で18,予測区間
[118] は過大評価されていた可能性が高いです,昨年末の段階で米国内の変異株の41
[118] 予測区間,33
[118] 33,2023
[118] 伝播性,は過大評価されていた可能性が高いです
[118] をxbb,5が占めていたとのcdcの推計は2022
[118] xbb,5の感染力
[118] 2023,6迄の週で28
[118] 5が占めていたとのcdcの推計は2022,12

Top Word Pairs in Tweet in G8:
[4] sars,ncov
[4] ncov,spike
[3] 3',5'
[3] p_mcculloughmd,foreign
[3] permanent,installation
[3] foreign,genetic
[3] installation,protein
[3] protein,ubiquitous
[3] 5',caps
[3] nucleoside,3'

Top Word Pairs in Tweet in G9:
[111] 本日,の広島県内の感染状況
[111] multiple,languages
[111] 本日の感染者はコチラ,co
[111] information,multiple
[111] co,aynlae1ivh
[111] の広島県内の感染状況,本日の感染者はコチラ
[111] languages,covid
[111] aynlae1ivh,information
[111] covid,19
[107] hiroshima_pref,本日

Top Word Pairs in Tweet in G10:
[175] diario,#covid_19
[175] registrados,63
[175] #covid_19,enero
[175] informe,diario
[175] casos,activos
[175] fallecidos,registrados
[175] casos,nuevos
[169] ministeriosalud,informe
[74] nuevos,12
[53] 63,300

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@hollywood1114
@ptvph
@roper_lab
@cyrillegermain
@dodgetrucks218
@mattdowning17
@immortellexiii
@nathaliejacoby1
@under_x_current

Top Replied-To in G1:
@gringogranadino
@jason144freedom
@magnusdeackeepr
@stephen_coco
@demagogpl
@dyrkrzysztofiak

Top Replied-To in G2:
@_2019_ncov
@cyrillegermain
@immortellexiii
@le__general_0ff
@kyle_copain
@partageinfos
@alainsebil
@caudehenrion
@wdeguerpel
@sarah41659531

Top Replied-To in G3:
@baishen
@susanebere
@wangcandice
@tourismsights
@dellaluna
@anjalienjeti
@myrabatchelder
@katarinahit
@ussignur_
@lorrainemaylevy

Top Replied-To in G4:
@444xxxxxxx444
@mattryde
@afluffyredneck
@plevdog
@puckloptr
@bradyjjohnston
@teamsforlife
@timothynuell
@laymansscience
@showthefacts

Top Replied-To in G5:

Top Replied-To in G7:
@koichi_kawakami
@gdgd20202020

Top Replied-To in G8:
@nagualquetzal
@galton_f
@varauteochcykla
@ryanbeed
@scatbat392
@heynursekat
@kevinault
@takethatct
@breezergalway

Top Replied-To in G9:
@kusoatsuishinu

Top Mentioned
Top Mentioned in Entire Graph:
@p_mcculloughmd
@cdcgov
@ibaraki_kouhou
@mandatemasksus
@_2019_ncov
@jesslovesmjk
@ministeriosalud
@hiroshima_pref
@parsifaler
@tm_quencher

Top Mentioned in G1:
@p_mcculloughmd
@deaceonline
@mandatemasksus
@cdcgov

Top Mentioned in G2:
@_2019_ncov
@crashdebug_fr
@sitting_bull_d
@alainsebil
@le__general_0ff
@bourgeoiseliane
@idrissaberkane
@brunolemaire
@liviu_balea
@statchriscotton

Top Mentioned in G3:
@cdcgov
@mandatemasksus
@maolesen
@scottgottliebmd
@alexander_tin
@kallmemeg
@lazaruslong13
@rajlabn
@tmprowell
@vdhgov

Top Mentioned in G4:
@jesslovesmjk
@parsifaler
@p_mcculloughmd
@chrismartenson
@kevin_mckernan
@stkirsch
@texaslindsay_
@iambrookjackson
@fatemperor
@daoyu15

Top Mentioned in G5:
@jerrytess
@shangrila333
@clubfmphilly
@sinsiglasya
@mattya5419

Top Mentioned in G6:
@ibaraki_kouhou
@ibk44
@tsukubais

Top Mentioned in G7:
@tm_quencher
@koichi_kawakami
@covid_19_info_
@wakae
@gdgd20202020

Top Mentioned in G8:
@breezergalway
@doritmi
@maureenstroud
@barryjohnreid21
@aspalaasnasntyr
@takethatct
@mcfunny
@leelasik
@p_mcculloughmd
@mrscorer

Top Mentioned in G9:
@hiroshima_pref
@ibaraki_kouhou
@tm_quencher

Top Mentioned in G10:
@ministeriosalud

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@simanekomama
@wkwkrnht
@ecodaren
@matiere
@machi_usagi
@sippomagari
@united
@lizditz
@ginniasa

Top Tweeters in G1:
@magicdmw
@patriot_girl_tx
@drdaveanddee
@sustain05
@stachanna
@ele9061
@norejj
@irritatedwoman
@soniabetz1
@vinoteco2

Top Tweeters in G2:
@threadreaderapp
@sonialavera
@bfmtv
@yvespdb
@sarah41659531
@unrollhelper
@lemondefr
@rtlfrance
@nanemad
@actuspays

Top Tweeters in G3:
@united
@globalissuesweb
@tyberzannxxxx
@didifrench
@debp197
@godessofchaos71
@tendin2
@monasmitte
@jonesls
@joejaggi

Top Tweeters in G4:
@ericmoo91919605
@weejockmaley
@cadiedorange172
@tagesschau
@sam10k
@sharonkness1
@markred17
@bucmon21
@whywouldyou_uk
@segeltexter

Top Tweeters in G5:
@personalfitnes3
@didaclopez
@sinelo1968
@gladeolie
@godzillaslays65
@andreastoolbox
@missanneperry
@oomikoukou
@clubfmphilly
@mattya5419

Top Tweeters in G6:
@shintochigi1
@mutoh_z
@tsuka_kazunee
@sgr_kn
@dummyxtweet
@beer_prius
@tsaka1
@contaxndigital
@yamano__88
@rkouskysi

Top Tweeters in G7:
@machi_usagi
@taka910910
@pantyosu
@ocu_p1
@kasshini_gnade
@qbk_jitensya
@roshinuko
@marukocorop2
@tdmamu
@waterlilyk16

Top Tweeters in G8:
@wthrcom
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@scarletpatriot
@angryfleas
@wendyorent
@pawley_robert

Top Tweeters in G9:
@ecodaren
@turututukotokot
@tailtame
@shimanami_exp
@madabou
@lily_shiluna
@ban082
@tukki_nw
@mananb39451
@inpio

Top Tweeters in G10:
@ginniasa
@fabiparraguezm
@cristinamachuca
@dragontauro
@gonzaloxrojas
@mgarcia318
@negravillana
@pablolabarcac
@carolinapinoc
@jedomm


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