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NCoV_2020-02-13_17-55-37.xlsx (experimental version)
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From:
Connected Action NodeXL-Reports
Uploaded on:
February 14, 2020
Short Description:
NCoV via NodeXL http://bit.ly/2Sr246E
@who
@cdcgov
@pririn_
@flutrackers
@mackayim
@mrfrankbaraan
@edselsalvana
@kiccy7777
@globaltimesnews
@segozavr

Top hashtags:
#coronavirus
#covid19
#ncov
#china
#2019_ncov
#2019ncov
#coronavirusoutbreak
#ncov2019

Description:
Description
The graph represents a network of 17,789 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 Friday, 14 February 2020 at 03:01 UTC.

The tweets in the network were tweeted over the 1-day, 3-hour, 12-minute period from Wednesday, 12 February 2020 at 22:43 UTC to Friday, 14 February 2020 at 01:55 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 : 17789
Unique Edges : 18787
Edges With Duplicates : 4503
Total Edges : 23290
Number of Edge Types : 5
Replies to : 2251
Mentions : 2411
Retweet : 10495
MentionsInRetweet : 2926
Tweet : 5207
Self-Loops : 5288
Reciprocated Vertex Pair Ratio : 0.0041301935642954
Reciprocated Edge Ratio : 0.00822641046104733
Connected Components : 4249
Single-Vertex Connected Components : 2426
Maximum Vertices in a Connected Component : 6894
Maximum Edges in a Connected Component : 11408
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.201455
Graph Density : 5.14773008836575E-05
Modularity : 0.747546
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,789 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 Friday, 14 February 2020 at 03:01 UTC.

The tweets in the network were tweeted over the 1-day, 3-hour, 12-minute period from Wednesday, 12 February 2020 at 22:43 UTC to Friday, 14 February 2020 at 01:55 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:
[133] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[129] https://www.cdc.gov/coronavirus/2019-ncov/about/symptoms.html
[122] https://twitter.com/CDCgov/status/1226935127177154560
[118] https://dougleschan.com
[80] http://2019ncov.chinacdc.cn/2019-nCoV/
[63] https://www.cdc.gov/coronavirus/2019-ncov/about/prevention-treatment.html
[54] https://japan.cochrane.org/ja/%E3%83%9B%E3%83%BC%E3%83%A0/%E3%80%90%E7%B7%8A%E6%80%A5%E7%89%B9%E9%9B%86%E3%80%91%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9-2019-ncov-%EF%BC%9A%E9%87%8D%E7%97%87%E7%AE%A1%E7%90%86%E3%81%AB%E5%BD%B9%E7%AB%8B%E3%81%A4%E3%82%B3%E3%82%AF%E3%83%A9%E3%83%B3%E3%82%A8%E3%83%93%E3%83%87%E3%83%B3%E3%82%B9
[54] https://ncov.dxy.cn/ncovh5/view/pneumonia
[52] http://ncov.mohw.go.kr/shBoardView.do?brdId=3&brdGubun=32&ncvContSeq=245
[51] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

Top URLs in Tweet in G1:
[59] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[15] https://ncov.dxy.cn/ncovh5/view/pneumonia
[13] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200212-sitrep-23-ncov.pdf?sfvrsn=41e9fb78_2
[9] https://www.medrxiv.org/content/10.1101/2020.02.07.20021154v1
[8] https://harvardtothebighouse.com/2020/01/31/logistical-and-technical-analysis-of-the-origins-of-the-wuhan-coronavirus-2019-ncov/
[8] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[6] https://www.businessinsider.com/china-virus-everything-we-know-deadly-2019-ncov-wuhan-spread-2020-1
[6] https://www.zerohedge.com/geopolitical/tom-cotton-demands-beijing-prove-ncov-isnt-bioweapon-another-conspiracy-theory-goes
[6] https://jameslyonsweiler.com/2020/02/12/clear-evidence-it-is-not-a-bioweapon-so-whats-all-this-about-ace2-and-ncov-2019-covid-2019/

Top URLs in Tweet in G2:
[1] https://www.positive4thailand.com/2020/02/22019-nCoV-Wuhan.html

Top URLs in Tweet in G3:
[31] http://ncov.dxy.cn/ncovh5/view/pneumonia
[22] https://nextstrain.org/ncov
[20] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/829060-us-military-initiating-pandemic-plans
[16] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/china-2019-ncov/japan-2019-ncov/822900-japan-government-confirms-2019-ncov-cases/page4#post829118
[10] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/united-states-2019-ncov/824817-us-california-2019-ncov-confirmed-cases-and-news-updates/page3#post829075
[10] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/england-2019-ncov/826325-england-2019-ncov-cases/page3#post829087
[8] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[8] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/china-2019-ncov/828375-china-2019ncov-cases-outbreak-news-and-information-week-7-february-9-february-15-2020/page8#post829061
[7] https://www.biorxiv.org/content/10.1101/2020.02.05.935387v1
[6] https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html

Top URLs in Tweet in G4:
[26] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/home.htm
[11] https://www.dsn.gob.es/es/actualidad/seguridad-nacional-ultima-hora/coronavirus-covid-19-%E2%80%93-seguridad-frente-pandemias-0
[11] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanres%2Farticle%2FPIIS2213-2600%2820%2930070-9%2Ffulltext&rc=0
[8] https://www.novinky.cz/zahranicni/svet/clanek/karantena-nestaci-lidske-koronaviry-preziji-na-vzduchu-az-devet-dni-40313415?seq_no=1&source=hp&dop_ab_variant=0&dop_source_zone_name=novinky.sznhp.box&utm_source=www.seznam.cz&utm_medium=z-boxiku&utm_campaign=null
[5] https://www.who.int/dg/speeches/detail/who-director-general-s-remarks-at-the-media-briefing-on-2019-ncov-on-11-february-2020
[5] https://www.gov.ie/en/news/e58285-the-novel-coronavirus-2019-ncov/
[5] http://hpsc.ie
[4] https://sanchakblog.wordpress.com/2020/02/08/how-much-more-proof-do-we-need-that-wuhan-outbreak-is-prevotella-integrated-ncov-abdominal-pain-nausea-diarrhea-are-associated-with-this-gut-bacteria/
[4] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41573-020-00016-0
[3] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200211-sitrep-22-ncov.pdf?sfvrsn=fb6d49b1_2

Top URLs in Tweet in G5:
[16] https://www.mapsofworld.com/answers/geography/key-facts-of-wuhan-the-epicenter-of-coronavirus-outbreak/
[10] https://rappler.com/coronavirus
[6] https://www.pih.org/coronavirus
[5] https://www.rappler.com/nation/251720-sagada-suspends-eco-tourism-activities-due-coronavirus-threat?utm_medium=Social&utm_source=Twitter#Echobox=1581579117
[5] https://www.financialexpress.com/lifestyle/health/coronavirus-outbreak-all-you-need-to-know-about-ncov/1866634/
[4] https://www.rappler.com/nation/251575-doh-report-patients-probed-novel-coronavirus-philippines-february-11-2020?utm_medium=Social&utm_source=Twitter#Echobox=1581429331
[4] https://www.gmanetwork.com/news/news/nation/725195/another-suspected-ncov-case-in-philippines-dies-succumbs-to-pneumonia-doh/story/
[4] https://www.globenewswire.com/news-release/2020/02/12/1983837/0/en/CytoDyn-Signs-Letter-of-Intent-for-the-Joint-Development-and-Licensing-of-Leronlimab-in-China-with-Longen-China-Group.html
[3] https://www.rappler.com/world/regions/us-canada/251686-us-health-authority-shipped-faulty-coronavirus-test-kits?utm_medium=Social&utm_source=Twitter#Echobox=1581556347
[3] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-prevent-spread.html

Top URLs in Tweet in G7:
[120] https://www.cdc.gov/coronavirus/2019-ncov/about/symptoms.html
[120] https://twitter.com/CDCgov/status/1226935127177154560
[35] https://www.cdc.gov/coronavirus/2019-ncov/about/prevention-treatment.html
[35] https://twitter.com/CDCgov/status/1227615594163449856
[3] https://twitter.com/japanaqi/status/1227563158346158085
[3] https://z.cbndata.com/2019-nCoV/index.html?from=timeline&isappinstalled=0
[3] https://ncov.html5.qq.com/community?channelid=1&from=groupmessage&isappinstalled=0
[2] https://www.youtube.com/watch?v=edL3_0gULZE&feature=youtu.be

[2] https://twitter.com/cirskaxfw9xtigv/status/1227908060577878016
[2] https://www.cdc.gov/coronavirus/2019-ncov/index.html

Top URLs in Tweet in G8:
[18] https://japan.cochrane.org/ja/%E3%83%9B%E3%83%BC%E3%83%A0/%E3%80%90%E7%B7%8A%E6%80%A5%E7%89%B9%E9%9B%86%E3%80%91%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9-2019-ncov-%EF%BC%9A%E9%87%8D%E7%97%87%E7%AE%A1%E7%90%86%E3%81%AB%E5%BD%B9%E7%AB%8B%E3%81%A4%E3%82%B3%E3%82%AF%E3%83%A9%E3%83%B3%E3%82%A8%E3%83%93%E3%83%87%E3%83%B3%E3%82%B9
[18] https://www.cdc.gov/coronavirus/2019-nCoV/hcp/infection-control.html
[12] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2930357-3%2Ffulltext%3Frss%3Dyes&rc=0
[11] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200212-sitrep-23-ncov.pdf?sfvrsn=41e9fb78_2
[11] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-risk-assesment-hcp.html
[7] http://minato.sip21c.org/2019-nCoV-im3r.html#IMPERI4
[7] https://systems.jhu.edu/research/public-health/ncov/
[5] http://minato.sip21c.org/2019-nCoV-im3r.html#NEWSPAPER
[3] https://tech.sina.cn/2020-02-08/detail-iimxyqvz1312652.d.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9387-481p01.html

Top URLs in Tweet in G9:
[7] https://gordonua.com/news/worldnews/v-yaponii-zaregistrirovali-pervuyu-smert-ot-koronavirusa-2019-ncov-1486845.html
[2] https://news.abs-cbn.com/overseas/02/05/20/chinese-baby-tests-positive-for-new-coronavirus-just-30-hours-after-birth
[1] https://twitter.com/Sosiskovarka/status/1225709209787887618
[1] https://www.abc.net.au/news/2020-02-11/coronavirus-china-sars-flu-in-australia-the-different-diseases/11950358
[1] http://wjw.hubei.gov.cn/fbjd/dtyw/202002/t20200213_2025581.shtml
[1] https://twitter.com/globaltimesnews/status/1227769838472318977?s=19
[1] https://www.reuters.com/article/us-health-china-japan-taxi/male-tokyo-taxi-driver-tests-positive-for-coronavirus-nhk-tv-idUSKBN2070YW
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200212-sitrep-23-ncov.pdf?sfvrsn=41e9fb78_2

Top URLs in Tweet in G10:
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[1] https://www.americanthinker.com/articles/2020/02/trump_derangement_syndrome_diagnosis_and_treatment.html

Top Domains
Top Domains in Tweet in Entire Graph:
[745] twitter.com
[438] cdc.gov
[158] youtube.com
[147] who.int
[142] arcgis.com
[119] dxy.cn
[118] dougleschan.com
[115] flutrackers.com
[89] go.kr
[81] chinacdc.cn

Top Domains in Tweet in G1:
[219] twitter.com
[64] arcgis.com
[61] cdc.gov
[41] thepaperlink.com
[37] who.int
[30] youtube.com
[26] linkedin.com
[25] nih.gov
[24] instagram.com
[24] dxy.cn

Top Domains in Tweet in G2:
[1] positive4thailand.com

Top Domains in Tweet in G3:
[106] flutrackers.com
[68] cdc.gov
[34] dxy.cn
[29] medrxiv.org
[25] nextstrain.org
[19] twitter.com
[18] yahoo.com
[14] biorxiv.org
[9] youtube.com
[9] globalnews.ca

Top Domains in Tweet in G4:
[40] gob.es
[36] twitter.com
[34] who.int
[14] elsevierhealth.com
[8] novinky.cz
[7] wordpress.com
[5] cdc.gov
[5] gov.ph
[5] youtube.com
[5] nature.com

Top Domains in Tweet in G5:
[68] rappler.com
[16] twitter.com
[16] mapsofworld.com
[7] inquirer.net
[6] pih.org
[6] financialexpress.com
[5] cdc.gov
[4] abs-cbn.com
[4] cnn.com
[4] gmanetwork.com

Top Domains in Tweet in G7:
[166] twitter.com
[160] cdc.gov
[6] youtube.com
[4] qq.com
[3] cbndata.com
[2] govinfo.gov
[1] creaders.net
[1] arcgis.com
[1] usa.gov
[1] nature.com

Top Domains in Tweet in G8:
[32] cdc.gov
[19] cochrane.org
[13] who.int
[12] elsevierhealth.com
[12] sip21c.org
[7] jhu.edu
[5] go.jp
[3] sina.cn
[2] twitter.com
[2] nextstrain.org

Top Domains in Tweet in G9:
[7] gordonua.com
[2] twitter.com
[2] abs-cbn.com
[1] net.au
[1] gov.cn
[1] reuters.com
[1] who.int

Top Domains in Tweet in G10:
[3] cdc.gov
[1] americanthinker.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2702] coronavirus
[1781] covid19
[1258] ncov
[544] china
[519] 2019_ncov
[487] 2019ncov
[368] coronavirusoutbreak
[279] ncov2019
[242] wuhancoronavirus
[242] wuhan



Top Hashtags in Tweet in G1:
[210] coronavirus
[106] covid19
[103] ncov
[57] coronavirusoutbreak
[53] 2019ncov
[49] 2019_ncov
[33] wuhan
[32] ncov2019
[22] covid2019
[21] who

Top Hashtags in Tweet in G3:
[328] covid19
[297] coronavirus
[135] 2019ncov
[62] ncov
[52] ncov2019
[52] china
[36] 2019_ncov
[33] wuhan
[30] health
[30] coronavirusoutbreak

Top Hashtags in Tweet in G4:
[217] coronavirus
[158] covid19
[81] coronavirusoutbreak
[71] china
[69] ncov
[59] diamondprincess
[36] wuhancoronavirus
[32] mythbusters
[30] ncov2019
[29] 2019_ncov

Top Hashtags in Tweet in G5:
[179] coronavirus
[140] ncov
[45] covid19
[33] doh
[29] sarscov2
[25] coronavirusoutbreak
[18] philippines
[18] facts
[8] vietnam
[5] china

Top Hashtags in Tweet in G7:
[81] 武汉肺炎
[81] who
[80] 疫情
[46] 武汉生物实验室
[39] 新型冠状病毒
[34] 传染病
[34] 萨斯
[34] sars
[34] 生化武器
[28] 张磊

Top Hashtags in Tweet in G8:
[20] 新型コロナウイルス肺炎
[11] covid19
[3] 新型肺炎
[2] 新型コロナウィルス
[2] ncov2019
[2] 新型コロナウイルス対策
[1] covid_19
[1] ncov_2019
[1] coronavirusoutbreak
[1] 新型コロナウイルス

Top Hashtags in Tweet in G10:
[10] covid19
[10] coronavirusoutbreak
[10] china
[10] diamondprincess
[1] tap

Top Words
Top Words in Tweet in Entire Graph:
[5189] Words in Sentiment List#1: Positive
[11739] Words in Sentiment List#2: Negative
[126] Words in Sentiment List#3: Angry/Violent
[505983] Non-categorized Words
[522912] Total Words
[12501] ncov
[8218] 2019
[3963] น
[3551] #coronavirus
[3437] coronavirus

Top Words in Tweet in G1:
[2324] ncov
[1001] 2019
[522] sa
[500] coronavirus
[234] valentines
[227] ng
[220] novel
[212] #coronavirus
[203] 19
[200] ako

Top Words in Tweet in G2:
[3130] น
[2086] อ
[2086] ช
[2084] ใช
[2084] หร
[1046] จ
[1044] เก
[1042] ประกาศช
[1042] อไวร
[1042] สโคโรน

Top Words in Tweet in G3:
[738] #covid19
[592] 2019
[405] #coronavirus
[403] coronavirus
[384] ncov
[360] more
[309] spread
[281] cases
[271] respiratory
[268] disease

Top Words in Tweet in G4:
[460] ncov
[457] 2019
[266] #coronavirus
[241] #covid19
[173] cases
[154] coronavirus
[146] 19
[128] 000
[122] more
[119] covid

Top Words in Tweet in G5:
[577] virus
[495] infected
[489] ncov
[489] name
[481] fb
[349] #ncov
[307] health
[303] first
[288] obohan
[270] sa

Top Words in Tweet in G6:
[1095] ย
[1095] ป
[751] น
[737] เป
[730] นะคะ
[730] ผ
[730] case
[379] อ
[379] ช
[372] นว

Top Words in Tweet in G7:
[120] 如果你最近从中国返回
[120] 请知晓2019新型冠状病毒的症状
[120] 其中包括轻度至重度的呼吸道疾病
[120] 症状为
[120] 发烧
[120] 咳嗽
[120] 呼吸困难
[120] 参见
[110] 2019
[109] ncov

Top Words in Tweet in G8:
[176] 2019
[168] ncov
[96] 新型コロナウイルス
[95] covid
[95] 19
[95] の重症管理に役立つコクランエビデンスを集めた特集号の日本語訳が完了しました
[95] それぞれのコクランレビューのリンクは訳のあるものについては日本語表記されるリンクにしています
[95] #covid_19
[95] #ncov_2019
[95] #coronavirusoutbreak

Top Words in Tweet in G9:
[1042] 02
[299] по
[296] ncov
[279] 2019
[234] вирусом
[161] в
[158] 60
[158] 11
[126] заразившихся
[119] провинции

Top Words in Tweet in G10:
[211] gary
[211] gindler
[211] talks
[211] recent
[211] outbreak
[211] tds
[211] effects
[211] humanity
[211] syndrome
[211] caused

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[6414] 2019,ncov
[2437] covid,19
[2100] ใช,ช
[1347] coronavirus,2019
[1075] อ,2019
[1055] สอ,ฮ
[1055] ฮ,น
[1051] จ,งต
[1050] ประกาศช,อไวร
[1050] อไวร,สโคโรน

Top Word Pairs in Tweet in G1:
[803] 2019,ncov
[234] coronavirus,2019
[196] novel,coronavirus
[190] sa,ncov
[155] covid,19
[88] dahil,sa
[84] 2019,novel
[78] cash,valentines
[59] ng,ncov
[58] ncov,cash

Top Word Pairs in Tweet in G2:
[2084] ใช,ช
[1042] ประกาศช,อไวร
[1042] อไวร,สโคโรน
[1042] สโคโรน,าอย
[1042] าอย,างเป
[1042] างเป,นทางการค
[1042] นทางการค,อ
[1042] อ,covid
[1042] covid,19
[1042] 19,เด

Top Word Pairs in Tweet in G3:
[290] 2019,ncov
[236] respiratory,illnesses
[232] more,#covid19
[232] learn,more
[231] help,prevent
[230] prevent,spread
[229] spread,respiratory
[227] take,simple
[227] simple,daily
[227] daily,precautions

Top Word Pairs in Tweet in G4:
[400] 2019,ncov
[124] 000,cases
[118] covid,19
[86] coronavirus,2019
[85] novel,coronavirus
[65] cases,reported
[62] incubation,period
[60] learn,more
[60] 14,day
[60] #covid19,#coronavirusoutbreak

Top Word Pairs in Tweet in G5:
[288] ncov,obohan
[237] public,health
[235] announcement,virus
[235] prevention,huwag
[235] sa,fb
[234] health,announcement
[234] virus,quickly
[234] quickly,infecting
[234] infecting,general
[234] general,population

Top Word Pairs in Tweet in G6:
[730] เป,น
[730] ผ,ป
[365] sunaibkk,ย
[365] ย,งไม
[365] งไม,ม
[365] ม,ย
[365] ย,นย
[365] นย,นว
[365] นว,าเป
[365] าเป,นผ

Top Word Pairs in Tweet in G7:
[120] 如果你最近从中国返回,请知晓2019新型冠状病毒的症状
[120] 请知晓2019新型冠状病毒的症状,其中包括轻度至重度的呼吸道疾病
[120] 其中包括轻度至重度的呼吸道疾病,症状为
[120] 症状为,发烧
[120] 发烧,咳嗽
[120] 咳嗽,呼吸困难
[120] 呼吸困难,参见
[104] 2019,ncov
[81] ncov,#武汉肺炎
[81] #武汉肺炎,#who

Top Word Pairs in Tweet in G8:
[162] 2019,ncov
[96] 新型コロナウイルス,2019
[95] ncov,covid
[95] covid,19
[95] 19,の重症管理に役立つコクランエビデンスを集めた特集号の日本語訳が完了しました
[95] の重症管理に役立つコクランエビデンスを集めた特集号の日本語訳が完了しました,それぞれのコクランレビューのリンクは訳のあるものについては日本語表記されるリンクにしています
[95] それぞれのコクランレビューのリンクは訳のあるものについては日本語表記されるリンクにしています,#covid_19
[95] #covid_19,#ncov_2019
[95] #ncov_2019,#coronavirusoutbreak
[24] 新型コロナウイルス感染症を診る可能性のあるすべての医療者へ,ぜひ一読を

Top Word Pairs in Tweet in G9:
[274] 2019,ncov
[234] вирусом,2019
[125] заразившихся,вирусом
[79] количество,заразившихся
[79] ncov,превысило
[79] превысило,60
[79] 60,300
[79] 300,человек
[79] человек,369
[79] 369,умерло

Top Word Pairs in Tweet in G10:
[211] gary,gindler
[211] gindler,talks
[211] talks,recent
[211] recent,outbreak
[211] outbreak,tds
[211] tds,effects
[211] effects,humanity
[211] humanity,syndrome
[211] syndrome,caused
[211] caused,neuropathologic

Top Replied-To
Top Replied-To in Entire Graph:
@sunaibkk
@orfonline
@invesdoctor
@sonkoubun
@jenniferatntd
@who
@mackayim
@ambliuxiaoming
@ncov_822
@physicianswkly

Top Replied-To in G1:
@nobptl

Top Replied-To in G3:
@mackayim
@physicianswkly
@laurie_garrett
@sentomcotton
@furqannfs
@notdumphuk
@cdcgov
@hewlett_angela
@heiditrotters
@warsonthebrink

Top Replied-To in G4:
@who
@drtedros
@dohgov
@moh_mongolia
@slate
@0wb8pi2cn8f2tg3
@appledaily_hk
@whowpro
@laurie_garrett
@bmg_bund

Top Replied-To in G5:
@philippinestar
@reuters
@gmanews
@spectatorindex
@inquirerdotnet
@public_juan
@abscbnnews
@nytimes
@cnn
@kevinleversee

Top Replied-To in G6:
@sunaibkk

Top Replied-To in G7:
@cirskaxfw9xtigv
@chuaijiji
@tuiqiandang
@songfei2017

Top Replied-To in G8:
@tetyahara

Top Mentioned
Top Mentioned in Entire Graph:
@who
@cdcgov
@imrankhanpti
@douglesdigital
@wionews
@youtube
@kaztsuda
@puis_unam
@timesofindia
@drharshvardhan

Top Mentioned in G1:
@olijfoliekreta
@lernetraden
@pragma_int
@docplexus
@coronavirus24x7

Top Mentioned in G3:
@imrankhanpti
@cdcgov
@wionews
@who
@furqannfs
@biorxiv
@ronankelly13
@seckermani
@guardian
@jhusystems

Top Mentioned in G4:
@who
@cdcgov
@chrismartenson
@who_europe
@ecdc_eu
@whosearo
@drtedros
@qtrresearch
@georgegammon
@whophilippines

Top Mentioned in G5:
@cnn
@pinoymommy
@gmanews
@who
@abscbnnews
@usatoday
@raffytima
@w7voa
@liampclancy1
@fdpascual

Top Mentioned in G7:
@mjtvhopin

Top Mentioned in G8:
@tohoku_univ_med
@bgi_genomics
@cdcgov
@leehsienloong

Top Mentioned in G9:
@epidemiclord
@mackayim

Top Mentioned in G10:
@cdcgov
@who

Top Tweeters
Top Tweeters in Entire Graph:
@eldiario
@kakusan_rt
@tomthunkitsmind
@sectest9
@hjlv2378
@detikcom
@danielpilotte
@ecodaren
@pairsonnalitesu
@macha_oji

Top Tweeters in G1:
@pairsonnalitesu
@matiere
@girl4music
@toicitiesnews
@didienazhar
@infoitsalute
@gnue
@stanleysuen
@thienminhvuong
@feedjunknl

Top Tweeters in G2:
@stnpz
@chouxcreamm_
@vvillaintidote
@ukukuk_21
@pave805
@pupaenaja_jrs2
@hartbyhug
@_ndoubleu
@apywhan
@duckpabo

Top Tweeters in G3:
@sherrilee7
@k1a1zzz
@bearingtruth
@flipthescript8
@guardian_elite
@guardian
@markplackett1
@baronianconsult
@silvrib
@njdoc

Top Tweeters in G4:
@john1966olsen
@kokusizu2
@ungubunugu1274
@miss_placed_
@tighnacoille
@sinaronline
@gaetasusan
@bluesea1964
@slate
@maryosb36485285

Top Tweeters in G5:
@inquirerdotnet
@abscbnnews
@gmanews
@rapplerdotcom
@umelley
@newscenterphl1
@philippinestar
@sipag28
@pinoymommy
@maamsyj

Top Tweeters in G6:
@mookmm_
@piayee
@9janx_
@aimyourtarget
@millioneyes1
@bornorbot
@pcxcallisto
@kaonmid
@bolero_rire
@atitta

Top Tweeters in G7:
@viriyabot
@qwertyuiioasdg
@liucdp2006nyc
@yurikoolee
@mingxiazhang2
@frank29650703
@dianelong22
@lovepurple7678
@vincent_wong666
@lss007

Top Tweeters in G8:
@syuu1228
@miyachan_888
@hanayuu
@moin5re
@madfall1213
@dr_yandel
@touya1080
@7n2jju
@nmikanw
@havre5st

Top Tweeters in G9:
@maria09121953
@victoriasologub
@ludmila1348
@vpolichsh
@slvfortwit
@korzhser
@smetanatborschu
@natalieb1952
@osykhetskiy
@kis_svetlana

Top Tweeters in G10:
@yojudenz
@jver1
@susaniverach
@tammywalt61
@wwwillstand
@superyayadize
@ladydshops
@alley167
@jcoralpark
@mboksr_maga


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