NCoV, Twitter, 2/24/2020 10:59:45 AM, 221862


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NCoV_2020-02-23_20-40-45.xlsx
NCoV_2020-02-23_20-40-45.xlsx
From:
Connected Action NodeXL-Reports
Uploaded on:
February 24, 2020
Short Description:
NCoV via NodeXL http://bit.ly/37V4vTB
@cdcgov
@georgebest1969
@askakorean
@who
@hula_808
@djluka1
@quicktake
@conflits_fr
@claire261748606
@flutrackers

Top hashtags:
#coronavirus
#covid19
#ncov_2019
#ncov19
#coronawirus
#koronavirus
#deprem
#irancoronavirus
#konya

Description:
Description
The graph represents a network of 16,829 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 24 February 2020 at 06:16 UTC.

The tweets in the network were tweeted over the 1-day, 15-hour, 10-minute period from Saturday, 22 February 2020 at 13:30 UTC to Monday, 24 February 2020 at 04:40 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 : 16829
Unique Edges : 17855
Edges With Duplicates : 4452
Total Edges : 22307
Number of Edge Types : 5
Retweet : 11363
Tweet : 3866
Replies to : 1772
MentionsInRetweet : 3420
Mentions : 1886
Self-Loops : 3949
Reciprocated Vertex Pair Ratio : 0.0045278918135716
Reciprocated Edge Ratio : 0.00901496484163712
Connected Components : 3043
Single-Vertex Connected Components : 1764
Maximum Vertices in a Connected Component : 9729
Maximum Edges in a Connected Component : 14684
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.301532
Graph Density : 5.87538605265908E-05
Modularity : 0.759935
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 16,829 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 24 February 2020 at 06:16 UTC.

The tweets in the network were tweeted over the 1-day, 15-hour, 10-minute period from Saturday, 22 February 2020 at 13:30 UTC to Monday, 24 February 2020 at 04:40 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 : TwitterSearch
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:
[1053] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[616] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9410-covid-dp-01.html
[428] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=&brdGubun=&dataGubun=&ncvContSeq=353059&contSeq=353059&board_id=&gubun=ALL
[243] https://www.niid.go.jp/niid/en/2019-ncov-e/9407-covid-dp-fe-01.html
[143] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[99] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9415-2019-ncov-08.html?fbclid=IwAR0SdvEju0zPcBbfTpg2L06q8TDiJByeTfNUYXuJkYsygXbbNjnZfMHTj6c
[97] https://www.moh.gov.sg/
[93] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[92] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[83] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html

Top URLs in Tweet in G1:
[68] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[60] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[52] https://arcg.is/0qq1zq
[26] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[20] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9410-covid-dp-01.html
[18] https://www.cdc.gov/coronavirus/2019-nCoV/summary.html
[16] https://www.cdc.gov/coronavirus/2019-ncov/summary.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[13] https://jagjapan.maps.arcgis.com/apps/opsdashboard/index.html#/641eba7fef234a47880e1e1dc4de85ce
[12] https://www.cdc.gov/coronavirus/2019-ncov/specific-groups/guidance-business-response.html

Top URLs in Tweet in G2:
[933] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[470] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9410-covid-dp-01.html
[80] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9415-2019-ncov-08.html?fbclid=IwAR0SdvEju0zPcBbfTpg2L06q8TDiJByeTfNUYXuJkYsygXbbNjnZfMHTj6c
[20] https://jagjapan.maps.arcgis.com/apps/opsdashboard/index.html#/641eba7fef234a47880e1e1dc4de85ce
[14] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-prevent-spread.html
[12] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[7] http://akkie.mods.jp/2019-nCoV/2019-nCoV%E9%96%A2%E9%80%A3%E8%AB%96%E6%96%87%E9%9B%86
[6] https://www.cdc.gov/coronavirus/2019-ncov/specific-groups/pregnancy-guidance-breastfeeding.html
[6] https://www.who.int/news-room/q-a-detail/q-a-coronaviruses
[6] https://www.cdc.gov/coronavirus/2019-ncov/about/index.html

Top URLs in Tweet in G3:
[14] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/about/prevention-treatment.html
[6] https://cdc.gov/COVID19
[6] https://nextstrain.org/ncov
[4] https://www.cdc.gov/coronavirus/2019-ncov/specific-groups/guidance-business-response.html
[3] https://www.cdc.gov/nCoV
[3] https://cdc.gov/covid19
[2] https://www.cdc.gov/coronavirus/2019-ncov/about/transmission.html
[2] https://www.cdc.gov/ncov

Top URLs in Tweet in G4:
[52] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/iran-covid-19/830215-iran-reports-cases-of-new-coronavirus-covid-19-media-states-18-deaths-who-emro-43-cases-8-deaths/page3#post830912
[42] https://nextstrain.org/ncov
[31] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/iran-covid-19/830215-iran-reports-cases-of-new-coronavirus-covid-19-media-states-18-deaths-who-emro-43-cases-8-deaths/page4#post831021
[25] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/iran-covid-19/830215-iran-reports-cases-of-new-coronavirus-covid-19-media-states-18-deaths-who-emro-43-cases-8-deaths/page3#post830923
[21] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/south-korea-2019-ncov/823386-south-korea-2019-ncov-cases/page8#post831059
[18] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/italy-2019-ncov/826208-italy-covid-19-152-cases-3-deaths/page2#post830918
[17] https://www.cdc.gov/coronavirus/2019-ncov/specific-groups/guidance-business-response.html
[16] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/china-2019-ncov/japan-2019-ncov/822900-japan-government-confirms-2019-ncov-cases/page9#post831062
[16] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[15] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/italy-2019-ncov/826208-italy-covid-19-152-cases-3-deaths/page3#post831051

Top URLs in Tweet in G5:
[1] https://twitter.com/mohwpr/status/1230298253100371968
[1] https://twitter.com/AP/status/1230678424517304326
[1] https://twitter.com/KBSnews/status/1230658850396590080
[1] https://news.v.daum.net/v/20200222104226282
[1] https://twitter.com/DGMBCNews/status/1229934725701107712
[1] https://www.insight.co.kr/news/269020
[1] https://threadreaderapp.com/thread/1230544394677358592.html
[1] https://twitter.com/yonhaptweet/status/1231389643049799680

Top URLs in Tweet in G6:
[425] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=&brdGubun=&dataGubun=&ncvContSeq=353059&contSeq=353059&board_id=&gubun=ALL
[35] http://ncov.mohw.go.kr/index_main.jsp
[14] https://news.v.daum.net/v/20200223174627614
[5] https://www.cdc.go.kr/board/board.es?mid=a20501000000&bid=0015&list_no=366306&act=view
[5] https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/newpage_00032.html
[5] https://www.moh.gov.sg/covid-19
[5] http://www.moh.gov.my/index.php/pages/view/2274
[4] http://who.maps.arcgis.com/apps/opsdashboard/index.html#/c88e37cfc43b4ed3baf977d77e4a0667
[4] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=&brdGubun=&dataGubun=&ncvContSeq=353078&contSeq=353078&board_id=&gubun=ALL
[4] http://ncov.mohw.go.kr/shBoardView.do?brdId=3&brdGubun=32&ncvContSeq=520

Top URLs in Tweet in G8:
[87] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[34] https://www.regione.piemonte.it/web/temi/sanita/coronavirus-2019-ncov-gestione-della-situazione
[12] https://github.com/CSSEGISandData/COVID-19
[3] https://factcheck.afp.com/search?keyword=coronavirus
[3] https://it.businessinsider.com/una-ricerca-del-2015-descrive-la-creazione-di-un-virus-dal-coronavirus-di-pipistrello-un-senatore-usa-la-cina-certifichi-che-2019-ncov-non-e-una-bio-arma/
[2] http://www.salute.gov.it/nuovocoronavirus
[2] http://www.epiprev.it/coronavirus-alcuni-strumenti-saperne-di-più
[1] https://www.regione.piemonte.it/web/pinforma/notizie/coronavirus-situazione-piemonte
[1] https://larep.it/2SPUZM6
[1] https://www.comune.sanbenignocanavese.to.it/it-it/avvisi/2020/avviso-alla-cittadinanza/coronavirus-2019-ncov-la-situazione-129685-1-938833694a11b3f1b97922decf06a853

Top URLs in Tweet in G10:
[227] https://www.niid.go.jp/niid/en/2019-ncov-e/9407-covid-dp-fe-01.html
[12] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[9] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9410-covid-dp-01.html
[2] https://niid.go.jp/niid/en/2019-ncov-e/9407-covid-dp-fe-01.html
[2] https://ameblo.jp/nihonkaigi-yachiyo/entry-12576496317.html
[2] https://misstama.web.fc2.com//douga/uliguru/6-ui.mp4
[2] https://www.cdc.gov/coronavirus/2019-nCoV/summary.html
[2] https://sciencefeedback.co/claimreview/2019-novel-coronavirus-2019-ncov-does-not-contain-pshuttle-sn-sequence-no-evidence-that-virus-is-man-made/
[1] https://science.sciencemag.org/content/early/2020/02/19/science.abb2507
[1] https://twitter.com/katsuyatakasu/status/1230369581291565056

Top Domains
Top Domains in Tweet in Entire Graph:
[1125] go.jp
[1094] europa.eu
[761] cdc.gov
[588] go.kr
[455] twitter.com
[369] flutrackers.com
[230] arcgis.com
[128] youtube.com
[128] who.int
[122] gov.sg

Top Domains in Tweet in G1:
[238] cdc.gov
[132] twitter.com
[102] arcgis.com
[54] arcg.is
[50] go.jp
[35] go.kr
[30] europa.eu
[28] dxy.cn
[22] tinnongmoingay.com
[21] youtube.com

Top Domains in Tweet in G2:
[939] europa.eu
[567] go.jp
[41] cdc.gov
[34] arcgis.com
[12] who.int
[7] mods.jp
[5] sciencespeaksblog.org
[4] co.jp
[4] medit.tech
[3] go.kr

Top Domains in Tweet in G3:
[79] cdc.gov
[6] nextstrain.org
[3] youtube.com
[3] twitter.com
[3] arcgis.com
[3] who.int
[2] go.jp
[2] flutrackers.com
[2] chicago.gov
[1] github.io

Top Domains in Tweet in G4:
[333] flutrackers.com
[83] cdc.gov
[62] twitter.com
[46] nextstrain.org
[22] who.int
[10] ready.gov
[10] gov.sg
[9] github.com
[8] gov.my
[8] go.jp

Top Domains in Tweet in G5:
[5] twitter.com
[1] daum.net
[1] co.kr
[1] threadreaderapp.com

Top Domains in Tweet in G6:
[482] go.kr
[42] twitter.com
[17] daum.net
[6] gov.sg
[5] go.jp
[5] gov.my
[4] arcgis.com
[4] cdc.gov
[4] co.il
[3] co.kr

Top Domains in Tweet in G8:
[87] emergenza24.org
[35] piemonte.it
[13] github.com
[3] afp.com
[3] gov.it
[3] businessinsider.com
[2] epiprev.it
[1] larep.it
[1] to.it
[1] twitter.com

Top Domains in Tweet in G10:
[240] go.jp
[12] europa.eu
[8] twitter.com
[3] cdc.gov
[2] ameblo.jp
[2] fc2.com
[2] sciencefeedback.co
[1] sciencemag.org
[1] facebook.com
[1] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2780] coronavirus
[2152] covid19
[763] ncov_2019
[681] ncov19
[664] coronawirus
[644] koronavirus
[625] deprem
[622] irancoronavirus
[617] konya
[532] ncov



Top Hashtags in Tweet in G1:
[142] coronavirus
[130] covid19
[65] 新型コロナウイルス
[59] ncov
[30] 新型冠状病毒
[28] 新型肺炎影響
[28] 百度
[25] 2019_ncov
[21] covid_19
[21] coronavirusoutbreak

Top Hashtags in Tweet in G2:
[16] covid19
[9] 新型コロナウイルス
[7] ncov
[2] 村中璃子
[2] 虎8
[1] coronavirus
[1] 2019ncov
[1] distribution
[1] 日本パンデミック2020

Top Hashtags in Tweet in G3:
[535] covid19
[105] coronavirus
[19] 2019ncov
[8] covidー19
[6] covid2019
[5] cdc
[5] china
[5] wuhan
[5] coronavirusoutbreak
[4] ncov_2019

Top Hashtags in Tweet in G4:
[616] coronavirus
[491] covid19
[137] covid_19
[121] sarscov2
[118] 2019_ncov
[98] coronavirusoutbreak
[83] ncov
[81] 2019ncov
[70] ncov2019
[44] cdclies

Top Hashtags in Tweet in G5:
[5] coronavirus
[4] covid19
[3] covid
[3] ncov
[3] coronavirusoutbreak
[2] covid2019
[1] coronavirinae
[1] 대한민국
[1] 서울

Top Hashtags in Tweet in G6:
[425] 2월_23일_9시_기준
[144] 코로나19_중앙사고수습본부
[47] 2월_22일_9시_기준
[19] 코로나바이러스감염증
[14] covid19
[6] 신종코로나바이러스
[3] coronavirus
[2] 코로나19_확대중앙사고수습본부
[2] 감염병_예방수칙
[2] 손씻기

Top Hashtags in Tweet in G7:
[607] koronavirus
[607] konya
[607] deprem
[607] coronawirus
[607] ncov19
[607] ncov_2019
[607] irancoronavirus

Top Hashtags in Tweet in G8:
[652] coronavirus
[238] covid19
[231] epidemia
[230] polmonite
[197] coronarvirusitalia
[184] worldwide
[184] mondo
[165] italia
[81] piemonte
[54] covid19italia

Top Hashtags in Tweet in G10:
[111] diamondprincess
[2] 竹島は日本の領土
[2] アメブロ
[2] diamondpricess
[1] 二階俊博
[1] 大坪寛子
[1] 和泉洋人
[1] セカンドフロア
[1] 秋山司
[1] 黒川弘務

Top Words
Top Words in Tweet in Entire Graph:
[4119] Words in Sentiment List#1: Positive
[14132] Words in Sentiment List#2: Negative
[299] Words in Sentiment List#3: Angry/Violent
[439835] Non-categorized Words
[458086] Total Words
[6861] ncov
[4564] 2019
[4238] #coronavirus
[3369] #covid19
[3159] coronavirus

Top Words in Tweet in G1:
[1303] ncov
[701] 2019
[477] coronavirus
[415] 19
[388] covid
[253] sa
[148] cases
[146] #coronavirus
[135] ng
[131] disease

Top Words in Tweet in G2:
[932] ecdcより
[932] 中国はかなり下げてきた
[932] このまま踏ん張れるか
[932] いま正念場は日本と韓国
[484] co
[467] あとは感染研の発表で有症状かつオンセット不明の方が92名
[467] 二次感染
[467] の根拠とされた2月13日以降発症者で詳細不明者が5人います
[467] こういうところを検証確認するのが大事です
[467] gogxv978kt

Top Words in Tweet in G3:
[1089] really
[664] #covid19
[638] cdcgov
[617] coronavirus
[592] #coronavirus
[574] virus
[552] realdonaldtrump
[548] #cdc
[547] fact
[547] infected

Top Words in Tweet in G4:
[969] #coronavirus
[959] #covid19
[330] #covid_19
[324] cases
[263] #sarscov2
[246] cdc
[234] 2019
[218] shiloh
[212] coronavirus
[209] ncov

Top Words in Tweet in G5:
[1888] cult
[1197] ncov
[1035] patients
[992] shincheonji
[879] psychiatric
[876] hospital
[853] first
[766] korea's
[762] members
[718] ward

Top Words in Tweet in G6:
[1027] co
[618] 자세히
[618] 보기
[519] 국민행동수칙
[516] 19
[514] 코로나19
[510] 코로나바이러스감염증
[478] 국내
[474] 발생
[472] 현황입니다

Top Words in Tweet in G7:
[607] 2020
[607] yıllını
[607] geçmeye
[607] çalışıyorum
[607] #koronavirus
[607] #konya
[607] #deprem
[607] #coronawirus
[607] #ncov19
[607] #ncov_2019

Top Words in Tweet in G8:
[696] #coronavirus
[616] aggiornamenti
[590] informazioni
[549] #covid19
[508] 02
[503] ed
[400] #coronarvirusitalia
[325] casi
[319] 23
[313] 00

Top Words in Tweet in G9:
[750] 2019
[750] scénario
[750] virus
[750] plus
[375] experts
[375] centre
[375] johns
[375] hopkins
[375] ont
[375] simulés

Top Words in Tweet in G10:
[312] #diamondprincess
[290] dr
[223] february
[212] covid
[137] quarantine
[135] 19
[133] transmission
[132] implementation
[130] substantial
[130] occurring

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3430] 2019,ncov
[1885] covid,19
[991] shincheonji,cult
[959] ecdcより,中国はかなり下げてきた
[959] 中国はかなり下げてきた,このまま踏ん張れるか
[959] このまま踏ん張れるか,いま正念場は日本と韓国
[880] psychiatric,patients
[728] spread,virus
[726] cult,members
[723] korea's,first

Top Word Pairs in Tweet in G1:
[506] 2019,ncov
[375] covid,19
[168] coronavirus,covid
[105] coronavirus,disease
[104] disease,2019
[103] 2019,covid
[97] 19,2019
[95] coronavirus,2019
[91] case,2019
[90] 19,japan

Top Word Pairs in Tweet in G2:
[932] ecdcより,中国はかなり下げてきた
[932] 中国はかなり下げてきた,このまま踏ん張れるか
[932] このまま踏ん張れるか,いま正念場は日本と韓国
[467] あとは感染研の発表で有症状かつオンセット不明の方が92名,二次感染
[467] 二次感染,の根拠とされた2月13日以降発症者で詳細不明者が5人います
[467] の根拠とされた2月13日以降発症者で詳細不明者が5人います,こういうところを検証確認するのが大事です
[467] こういうところを検証確認するのが大事です,co
[467] co,gogxv978kt
[78] 正しいメッセージ,ただ
[78] ただ,なぜこれが感染研から出ているのかが意味不明

Top Word Pairs in Tweet in G3:
[545] cdcgov,coronavirus
[544] attached,fact
[544] fact,sheet
[544] sheet,cdcgov
[544] coronavirus,two
[544] two,thoughts
[544] thoughts,really
[544] really,statistically
[544] statistically,stupid
[544] stupid,discriminate

Top Word Pairs in Tweet in G4:
[173] #coronavirus,#covid19
[163] 2019,ncov
[159] covid,19
[151] #covid19,#coronavirus
[151] united,states
[126] public,health
[114] #covid19,#sarscov2
[98] #covid19,cases
[88] diamond,princess
[88] iran,media

Top Word Pairs in Tweet in G5:
[984] shincheonji,cult
[872] psychiatric,patients
[719] cult,members
[718] korea's,first
[711] turns,shincheonji
[711] members,volunteered
[711] volunteered,hospital
[711] hospital,spread
[711] spread,virus
[711] virus,psychiatric

Top Word Pairs in Tweet in G6:
[618] 자세히,보기
[554] 보기,co
[510] 코로나바이러스감염증,19
[472] 19,국내
[472] 국내,발생
[472] 발생,현황입니다
[472] 발생현황,자세히
[472] 코로나19,국민행동수칙
[472] 국민행동수칙,co
[472] co,xkhqg0nfg0

Top Word Pairs in Tweet in G7:
[607] 2020,yıllını
[607] yıllını,geçmeye
[607] geçmeye,çalışıyorum
[607] çalışıyorum,#koronavirus
[607] #koronavirus,#konya
[607] #konya,#deprem
[607] #deprem,#coronawirus
[607] #coronawirus,#ncov19
[607] #ncov19,#ncov_2019
[607] #ncov_2019,#irancoronavirus

Top Word Pairs in Tweet in G8:
[481] informazioni,ed
[481] ed,aggiornamenti
[396] #coronavirus,#coronarvirusitalia
[353] #coronarvirusitalia,#covid19
[347] #covid19,informazioni
[281] 23,02
[252] #epidemia,#polmonite
[252] #polmonite,#coronavirus
[184] #worldwide,#mondo
[184] #mondo,aggiornamento

Top Word Pairs in Tweet in G9:
[375] 2019,experts
[375] experts,centre
[375] centre,johns
[375] johns,hopkins
[375] hopkins,ont
[375] ont,simulés
[375] simulés,scénario
[375] scénario,virus
[375] virus,apparaissait
[375] apparaissait,avait

Top Word Pairs in Tweet in G10:
[206] #diamondprincess,february
[134] covid,19
[132] implementation,quarantine
[130] substantial,transmission
[130] occurring,prior
[130] prior,implementation
[129] transmission,covid
[129] 19,occurring
[118] quarantine,#diamondprincess
[114] clear,evidence

Top Replied-To
Top Replied-To in Entire Graph:
@2019_ncov_ko
@mackayim
@chocolat_psyder
@michaelmina_lab
@bbcmarikooi
@satomasahisa
@ncov_frens
@cou1r1jzlabidl2
@drericding
@ohiratec_mega

Top Replied-To in G1:

Top Replied-To in G2:
@hiroyoshimura
@keyaki1117
@hyakutanaoki
@asadoriq
@kharaguchi
@kadotaryusho
@influenzer3
@hrkz1985
@keiki22

Top Replied-To in G3:
@realdonaldtrump
@cdcgov
@enigmaticbrandi
@angrierwhstaff
@alexberenson
@berkeleyjr
@mackayim
@d0mina_diana
@themodernmerce1
@covidrisk

Top Replied-To in G4:
@mackayim
@michaelmina_lab
@drericding
@scottgottliebmd
@v2019n
@who
@cdcgov
@t_inglesby
@florian_krammer
@wolfecache

Top Replied-To in G5:
@modooborahae
@genloveeeeee
@epipeny
@got7jjpbias
@askakorean

Top Replied-To in G6:
@2019_ncov_ko
@abc11ab
@bnodesk
@nasumele12
@chugun_real
@robroy_cn
@wordingwalking
@asha0810
@seongpeter
@leahelloo

Top Replied-To in G8:
@corra_davide
@lucaccini_carla

Top Replied-To in G10:
@bbcmarikooi
@satomasahisa
@cou1r1jzlabidl2
@tomo20309138
@ncov_822
@6bb59f554a01449
@umi51771815
@cyokuri
@k7lsspyi5d85fxi
@wanpare00

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@realdonaldtrump
@sanidadgob
@who
@drnancym_cdc
@ministerosalute
@ygofficialblink
@cdc
@7newswatertown
@gertvanderhoek

Top Mentioned in G1:

Top Mentioned in G2:
@medit_tech
@cdcgov

Top Mentioned in G3:
@cdcgov
@realdonaldtrump
@drnancym_cdc
@statedept
@johnshopkins
@casibari77
@freeelijia
@billthomasbass
@rrprojectlove
@carameltimbit

Top Mentioned in G4:
@who
@cdcgov
@cdc
@gertvanderhoek
@realdonaldtrump
@nytimes
@uva_bi
@cnnhealth
@uva_nssac
@cdcdirector

Top Mentioned in G5:
@modooborahae
@cdcgov
@askakorean
@heartjinyoungs
@got7official

Top Mentioned in G6:
@koreacdc
@bnodesk
@2019_ncov_ko
@bbclbicker
@duh_natural
@reddragon1949
@belindabonnici1
@mohwpr
@sintia22kr
@jasonpjg

Top Mentioned in G8:
@ministerosalute
@piemonteinforma
@zaiapresidente
@_carabinieri_
@regionepiemonte
@pcagnan
@regioneveneto
@istsupsan
@publichealthu
@poliziadistato

Top Mentioned in G10:
@nikkei
@ncov_822
@mass06382974
@takemikeizo
@muc2jntopumsctg
@officematsunaga
@nihonjintamasii
@princesscruises
@bbcworldbiz
@abeshinzo

Top Tweeters
Top Tweeters in Entire Graph:
@asahibeer_jp
@tomthunkitsmind
@infoitinterno
@simanekomama
@cryptotraderpro
@sectest9
@hjlv2378
@womanfeeds
@jurylady5
@amr_shin

Top Tweeters in G1:
@infoitinterno
@cryptotraderpro
@infoitestero
@drbicentenario
@fuba_recorder
@relaxoowang
@michaelorndoff
@h605pxgk
@sasahdds
@pandasukidesu

Top Tweeters in G2:
@ecodaren
@myfavoritescene
@kittenish823
@macha_oji
@mini_kurokoge66
@serioustom1
@washiro
@moin5re
@kksugaya
@himurotakasi

Top Tweeters in G3:
@jurylady5
@vrai777
@wqqn
@phillip92321
@brontyman
@flipthescript8
@twright55
@gpwriter
@betterw05759703
@shadowdogdesign

Top Tweeters in G4:
@marcodacostafx
@soniaerasmus
@homegypsy
@wildwalkerwoman
@ungubunugu1274
@bearingtruth
@marthalynneowe1
@business
@lizditz
@boerneaj

Top Tweeters in G5:
@moonbootica
@threadreaderapp
@watermelondriia
@sustalrene
@ceuhoney
@lolly_mudpie
@potatoispretty
@missfara
@ttaekoyaki
@neyrashazeyra

Top Tweeters in G6:
@hjlv2378
@pawooly
@man0403
@s17221
@lwt55dgcha1
@coreacom
@lesmy2017
@jks_dosol
@jisumom7472
@geniuses09

Top Tweeters in G7:
@arzuang23
@iskaraman
@myktweet1923
@akdavart
@uluncer_begum
@brahm49767649
@balonbaloncuk
@23emreyildiz
@serhnabakay
@yalnkayagulten

Top Tweeters in G8:
@robre62
@angelavillani9
@marino29b
@demian_yexil
@dileguossi
@imoresi
@emet_news_press
@muschelschloss
@ossmeteobargone
@rosannamarani

Top Tweeters in G9:
@magicsdrew
@_mazeuw
@sims_templar
@getenshu
@wadfashelby
@tvzz_fwi
@vinkencule
@legibleevan
@ornibabee
@blackdekpe

Top Tweeters in G10:
@asahibeer_jp
@may_roma
@shinjihi
@kaxtupasan
@reuters
@yshbard
@novemoeiro
@couki2622
@lishih_h
@kz0024


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