NCoV, Twitter, 6/21/2022 1:28:17 PM, 278457
New User | | | Renew NodeXL |
Get the book
Analyzing Social Media Networks with NodeXL: Insights from a Connected World - 2nd Edition
| |

FAQ | Problem?
Share

NCoV_2022-06-21_05-45-01.xlsx
NCoV_2022-06-21_05-45-01.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
June 21, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3Na8Iak
@_2019_ncov
@cdcgov
@lawrence_andros
@robertkennedyjr
@gabinjean3
@k_hirahata
@takahashiwatar2
@mpc_xetts
@disclosetv
@pierrekory

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#france
#macron
#コロナ後遺症
#covid_19
#astrazeneca
#covid

Description:
Description
The graph represents a network of 6,582 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 Tuesday, 21 June 2022 at 12:54 UTC.

The requested start date was Tuesday, 21 June 2022 at 00:01 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 6-day, 17-hour, 59-minute period from Tuesday, 14 June 2022 at 06:01 UTC to Tuesday, 21 June 2022 at 00:01 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 : 6582
Unique Edges : 5769
Edges With Duplicates : 13320
Total Edges : 19089
Number of Edge Types : 5
Tweet : 940
Replies to : 2931
Mentions : 5203
Retweet : 3807
MentionsInRetweet : 6208
Self-Loops : 997
Reciprocated Vertex Pair Ratio : 0.0452272001702671
Reciprocated Edge Ratio : 0.0865404194665038
Connected Components : 654
Single-Vertex Connected Components : 222
Maximum Vertices in a Connected Component : 4202
Maximum Edges in a Connected Component : 15662
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.273529
Graph Density : 0.000226751496012734
Modularity : 0.427859
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,582 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 Tuesday, 21 June 2022 at 12:54 UTC.

The requested start date was Tuesday, 21 June 2022 at 00:01 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 6-day, 17-hour, 59-minute period from Tuesday, 14 June 2022 at 06:01 UTC to Tuesday, 21 June 2022 at 00:01 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:
[472] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[100] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[86] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[46] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[43] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/monitoring-pregnant-people.html
[42] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[40] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[31] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[31] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[10] https://www.patrimoine-religieux.fr/rubriques/gauche/edifice-menace/11-eglises-incendiees-en-1-an
[3] https://fr.wikipedia.org/wiki/Barons_voleurs
[3] https://twitter.com/Atomedesavoir/status/1354053799749562368
[2] https://onlinelibrary.wiley.com/doi/10.1111/andr.13209
[2] https://expose-news.com/2022/06/15/vaccinated-4-in-5-covid-deaths-canada-since-feb/
[2] https://www.regulations.gov/commenton/FDA-2022-N-0904-0001
[2] https://twitter.com/menaitreau/status/1538405188339384330?s=21&t=5eOSazN3_n6KU3he9U_zxA
[2] https://www.youtube.com/watch?v=jW34coagmbE&feature=youtu.be

[2] https://odysee.com/@JeanneTraduction:a/07-Grand-Jury-VF:8
[2] https://twitter.com/QuiQuichotte1/status/1538884484623388673?t=lvj3rJuop9mjjxrtBeALKQ&s=19

Top URLs in Tweet in G2:
[4] https://expose-news.com/2022/06/13/dr-vernon-coleman-the-death-of-health-care/
[3] https://twitter.com/NaraShi13876794/status/1537417825035464704
[3] https://www.meteo-paris.com/chronique/annee/1947
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083508/
[1] https://thecovidworld-com.translate.goog/shock-as-fourth-football-player-dies-this-week-algerian-sofiane-loukar-dead-of-heart-attack/?_x_tr_sl=auto&_x_tr_tl=fr&_x_tr_hl=fr
[1] https://pmj.bmj.com/content/early/2022/01/05/postgradmedj-2021-141022
[1] https://pmj-bmj-com.translate.goog/content/early/2022/01/05/postgradmedj-2021-141022?_x_tr_sl=auto&_x_tr_tl=fr&_x_tr_hl=fr
[1] https://thecovidblog-com.translate.goog/2022/03/20/young-sudden-post-injection-deaths-continues-while-ukraine-distraction-propaganda-has-a-nazi-problem/?_x_tr_sl=auto&_x_tr_tl=fr&_x_tr_hl=fr
[1] https://stopcensura-online.translate.goog/parla-la-zia-mia-nipote-e-morta-nel-sonno-dopo-il-vaccino-pfizer-aveva-soltanto-14-anni/?_x_tr_sl=auto&_x_tr_tl=fr&_x_tr_hl=fr
[1] https://palermo.gds.it/articoli/cronaca/2022/01/31/quindicenne-muore-nel-sonno-a-palermo-disposta-autopsia-0cb46f8a-9cea-4b2c-ad70-6ea5ef140e0a/

Top URLs in Tweet in G3:
[43] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/monitoring-pregnant-people.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#recommendations
[4] https://espanol.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html
[4] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/map-and-travel-notices.html

Top URLs in Tweet in G4:
[18] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[14] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[8] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[7] http://ncov.mohw.go.kr
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[7] https://c11.kr/joao
[7] https://ncv.kdca.go.kr/ncov/
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html

Top URLs in Tweet in G5:
[28] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6695&board_id=312&contSeq=6695
[28] https://www3.nhk.or.jp/news/special/coronavirus/medical/detail/detail_235.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11017-covid19-76.html
[3] https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000121431_00111.html#h2_free4
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.ft.com/content/45f4b975-443f-44b7-92b8-5d2417491015
[1] https://www.reuters.com/world/china/shanghais-high-asymptomatic-covid-rate-could-be-due-including-mild-cases-2022-04-08/
[1] https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774707
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10952-b11529-si.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10966-covid19-71.html

Top URLs in Tweet in G6:
[461] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[100] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[21] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[15] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[10] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[4] https://www.pref.chiba.lg.jp/shippei/press/2022/ncov0601-0630.html
[3] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[2] https://www.town.kutchan.hokkaido.jp/emergency/2019-nCoV/3904/
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6695&board_id=312&contSeq=6695
[1] https://www3.nhk.or.jp/news/special/coronavirus/medical/detail/detail_235.html

Top URLs in Tweet in G7:
[7] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[1] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/covid-long-haulers-long-term-effects-of-covid19
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.forbes.com/sites/williamhaseltine/2022/03/14/covid-19-long-term-brain-injury/?sh=77d4f2eb454c
[1] https://www.med.ubc.ca/news/tackling-the-science-behind-long-covid/
[1] https://nextstrain.org/ncov/gisaid/global/6m
[1] https://labeling.pfizer.com/ShowLabeling.aspx?id=14471
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#pfizer-18-and-older

Top URLs in Tweet in G8:
[1] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/informe-epidemiologico-covid-19/

Top URLs in Tweet in G9:
[1] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Nueva_estrategia_vigilancia_y_control.pdf

Top URLs in Tweet in G10:
[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/different-vaccines/mrna.html

Top Domains
Top Domains in Tweet in Entire Graph:
[851] cdc.gov
[526] ibaraki.jp
[234] lg.jp
[158] twitter.com
[134] recombinomics.co
[84] publichealthontario.ca
[59] go.kr
[57] gob.es
[42] go.jp
[34] who.int

Top Domains in Tweet in G1:
[76] twitter.com
[13] youtube.com
[10] patrimoine-religieux.fr
[6] odysee.com
[3] expose-news.com
[3] wikipedia.org
[3] sante.fr
[2] wiley.com
[2] upr.fr
[2] regulations.gov

Top Domains in Tweet in G2:
[32] twitter.com
[7] translate.goog
[4] expose-news.com
[3] meteo-paris.com
[2] nih.gov
[2] anguillesousroche.com
[1] bmj.com
[1] gds.it
[1] medisite.fr
[1] mag24.es

Top Domains in Tweet in G3:
[146] cdc.gov
[3] ow.ly
[3] twitter.com
[2] criver.com
[1] arcgis.com
[1] wisconsin.gov
[1] bbc.com
[1] ochealthinfo.com
[1] healthychildren.org
[1] yalemedicine.org

Top Domains in Tweet in G4:
[180] cdc.gov
[134] recombinomics.co
[29] ibaraki.jp
[22] go.kr
[21] twitter.com
[16] scholarsportal.info
[13] go.jp
[9] bvsalud.org
[8] lastnews.es
[7] co.jp

Top Domains in Tweet in G5:
[28] go.kr
[28] or.jp
[8] go.jp
[1] cdc.gov
[1] ft.com
[1] reuters.com
[1] jamanetwork.com

Top Domains in Tweet in G6:
[482] ibaraki.jp
[132] lg.jp
[2] hokkaido.jp
[1] go.kr
[1] or.jp

Top Domains in Tweet in G7:
[14] cdc.gov
[9] publichealthontario.ca
[2] postimg.cc
[1] hopkinsmedicine.org
[1] forbes.com
[1] ubc.ca
[1] nextstrain.org
[1] pfizer.com
[1] nih.gov

Top Domains in Tweet in G8:
[2] minsal.cl

Top Domains in Tweet in G9:
[1] gob.es

Top Domains in Tweet in G10:
[2] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[698] covid19
[461] 新型コロナウイルス感染症情報
[253] france
[249] macron
[173] コロナ後遺症
[125] covid_19
[35] astrazeneca
[25] covid
[23] coronavirus
[18] 広島県



Top Hashtags in Tweet in G1:
[22] france
[19] macron
[11] covid_19
[10] lrem
[6] donbass
[6] covidー19
[6] pfizer
[4] mckinsey
[4] woke
[4] fda

Top Hashtags in Tweet in G2:
[227] france
[226] macron
[2] ursula
[2] pfizer
[2] effetssecondaires
[2] vaccin
[2] vlad_putin
[2] putler
[1] effetsecondaires
[1] injectionexpérimentale

Top Hashtags in Tweet in G3:
[560] covid19
[14] covid
[5] psa
[5] ciscolive
[5] vaxfact
[3] cdc
[3] didyouknow
[2] vaccinated
[2] faqs
[2] children

Top Hashtags in Tweet in G4:
[33] covid19
[9] sarscov2
[8] ifhtranslates
[7] korea
[7] 공공데이터
[7] medicaldata
[7] 의료데이터
[7] 의정부시청
[7] 안전안내문자
[7] 재난문자

Top Hashtags in Tweet in G5:
[170] コロナ後遺症
[1] covid19

Top Hashtags in Tweet in G6:
[461] 新型コロナウイルス感染症情報
[12] ノババックス
[12] コロナワクチン
[10] 佐倉
[10] 千葉県庁
[9] sakuracity
[1] コロナ後遺症
[1] 広島県
[1] 新型コロナ

Top Hashtags in Tweet in G7:
[1] memo

Top Hashtags in Tweet in G8:
[112] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[2772] _2019_ncov
[1371] covid
[1109] 19
[698] #covid19
[647] ce
[631] cdcgov
[621] co
[593] vaccinated
[546] tout
[546] vaccine

Top Words in Tweet in G1:
[2067] _2019_ncov
[406] c'est
[347] ce
[295] plus
[258] mais
[224] tout
[211] ça
[211] pandantag
[203] ils
[200] sont

Top Words in Tweet in G2:
[519] _2019_ncov
[457] possible
[314] yvespdb
[307] tout
[267] ce
[259] astap66
[238] guerre
[229] crimes
[227] #france
[227] complice

Top Words in Tweet in G3:
[625] cdcgov
[560] #covid19
[545] vaccinated
[445] covid
[425] 19
[344] help
[339] getting
[303] vaccine
[295] older
[275] against

Top Words in Tweet in G4:
[324] covid
[189] 19
[174] ncov
[156] 2019
[141] cases
[135] increase
[134] recombinomics
[134] inc
[130] deaths
[52] cdc

Top Words in Tweet in G5:
[170] cdcの
[170] #コロナ後遺症
[170] のページ
[170] need
[170] know
[170] に
[170] 場合によっては
[170] covid後遺症を持つ人がウイルスに対して陽性反応を示さず
[170] 自分が感染していることに気づかないこともあります
[170] と書かれています

Top Words in Tweet in G6:
[464] co
[461] #新型コロナウイルス感染症情報
[461] 本日の新規陽性者数
[461] 現在の入院者数
[461] うち重症者数
[461] 詳細は
[457] 1名
[450] ibaraki_kouhou
[390] 新型コロナウイルス感染症に関する情報はこちら
[382] ht

Top Words in Tweet in G7:
[8] disclosetv
[6] andrewlazarus4
[6] kevinault
[6] provaxtexan
[6] kstateturk
[6] mcfunny
[6] 2019
[6] ncov
[6] 21
[5] mpc_xetts

Top Words in Tweet in G8:
[224] casos
[116] ministeriosalud
[112] informe
[112] diario
[112] #covid_19
[112] 20
[112] junio
[112] 149
[112] nuevos
[112] 48

Top Words in Tweet in G9:
[106] viernes
[106] actualizaron
[106] estrategia
[106] vigilancia
[106] control
[106] frente
[106] covid
[106] 19
[106] sorpresa
[105] enfrmrasaturada

Top Words in Tweet in G10:
[2] angryfleas
[2] emma34770971

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[955] covid,19
[465] 詳細は,co
[455] うち重症者数,1名
[450] ibaraki_kouhou,#新型コロナウイルス感染症情報
[398] 1名,詳細は
[382] 新型コロナウイルス感染症に関する情報はこちら,ht
[299] #covid19,vaccine
[293] astap66,_2019_ncov
[290] yvespdb,astap66
[286] vaccinated,against

Top Word Pairs in Tweet in G1:
[123] pandantag,_2019_ncov
[97] mougeon2,pandantag
[74] b26_romain,mougeon2
[70] ah,ah
[61] italie,quelqu'un
[61] quelqu'un,précisions
[61] précisions,_2019_ncov
[60] pandantag,italie
[51] _2019_ncov,c'est
[40] luigidiparigi,_2019_ncov

Top Word Pairs in Tweet in G2:
[258] astap66,_2019_ncov
[256] yvespdb,astap66
[228] tout,possible
[227] crimes,guerre
[226] _2019_ncov,#france
[226] #france,complice
[226] complice,crimes
[226] guerre,ce
[226] ce,possible
[226] possible,#macron

Top Word Pairs in Tweet in G3:
[425] covid,19
[293] #covid19,vaccine
[275] vaccinated,against
[270] older,vaccinated
[268] getting,vaccinated
[265] months,older
[264] cdcgov,#covid19
[264] against,covid
[263] vaccine,update
[263] update,everyone

Top Word Pairs in Tweet in G4:
[162] covid,19
[151] 2019,ncov
[134] cases,increase
[134] ncov,recombinomics
[134] recombinomics,inc
[130] covid,cases
[22] 19,vaccine
[22] 2022,06
[16] learn,more
[16] 19,vaccines

Top Word Pairs in Tweet in G5:
[170] cdcの,#コロナ後遺症
[170] #コロナ後遺症,のページ
[170] のページ,need
[170] need,know
[170] know,に
[170] に,場合によっては
[170] 場合によっては,covid後遺症を持つ人がウイルスに対して陽性反応を示さず
[170] covid後遺症を持つ人がウイルスに対して陽性反応を示さず,自分が感染していることに気づかないこともあります
[170] 自分が感染していることに気づかないこともあります,と書かれています
[169] k_hirahata,cdcの

Top Word Pairs in Tweet in G6:
[461] 詳細は,co
[451] うち重症者数,1名
[450] ibaraki_kouhou,#新型コロナウイルス感染症情報
[394] 1名,詳細は
[382] 新型コロナウイルス感染症に関する情報はこちら,ht
[257] co,qnzux8c1z3
[250] qnzux8c1z3,新型コロナウイルス感染症に関する情報はこちら
[204] co,qnzux8t4b3
[140] qnzux8t4b3,新型コロナウイルス感染症に関する情報はこちら
[126] 現在の入院者数,43名

Top Word Pairs in Tweet in G7:
[6] 2019,ncov
[5] dozzle101,disclosetv
[4] stephen1e4,tseex
[4] tseex,optimistic081
[4] optimistic081,gbnews
[3] andrewlazarus4,premierimproves
[3] jimeeliberty,provaxtexan
[3] kstateturk,wendyorent
[3] wendyorent,doom37455413
[3] doom37455413,djchicus

Top Word Pairs in Tweet in G8:
[112] informe,diario
[112] diario,#covid_19
[112] #covid_19,20
[112] 20,junio
[112] junio,149
[112] 149,casos
[112] casos,nuevos
[112] nuevos,48
[112] 48,730
[112] 730,casos

Top Word Pairs in Tweet in G9:
[106] viernes,actualizaron
[106] actualizaron,estrategia
[106] estrategia,vigilancia
[106] vigilancia,control
[106] control,frente
[106] frente,covid
[106] covid,19
[106] 19,sorpresa
[105] enfrmrasaturada,viernes

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@hankizet
@yvespdb
@b26_romain
@pandantag
@twitietgrominet
@nabila_chouia
@louan07
@unknowsolitary
@quefaitleloup

Top Replied-To in G1:
@_2019_ncov
@hankizet
@b26_romain
@pandantag
@unknowsolitary
@lrestistant73
@aragorn_64
@arnaudfranchini
@philippe2408
@roxanedmiremont

Top Replied-To in G2:
@_2019_ncov
@yvespdb
@louan07
@den_pero
@musashisaku
@bellinarg4
@allanicfabian
@cerise_philippe
@airforc91388645
@55bellechasse

Top Replied-To in G3:
@cdcgov
@cdcdirector
@heart10looks3
@highwaytothedz
@hhsgov
@kozokozo54
@lujan588
@annatime94

Top Replied-To in G5:
@yasuaresu
@riyuarutarou

Top Replied-To in G7:
@dozzle101
@stephen1e4
@michellespj
@isabelltemple
@askwhymoreoften
@outlikea_lamb
@andyoiseau
@hintofspooky
@elvissinosic
@swmom1

Top Replied-To in G10:
@ctramseur
@medwoman1
@dhan1123

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@cdcgov
@ibaraki_kouhou
@yvespdb
@astap66
@pandantag
@k_hirahata
@ministeriosalud
@mougeon2
@enfrmrasaturada

Top Mentioned in G1:
@_2019_ncov
@pandantag
@mougeon2
@osce
@b26_romain
@bfmtv
@luigidiparigi
@astap66
@yvespdb
@ilieskl

Top Mentioned in G2:
@_2019_ncov
@yvespdb
@astap66
@medic4allhuman
@musashisaku
@louan07
@borowskimike
@den_pero
@philippemurer

Top Mentioned in G3:
@cdcgov
@tomfitton
@cdcemergency
@cdcdirector
@hhsgov
@durhamhealthnc
@petergjones
@snhdinfo
@vdhgov
@mattbc

Top Mentioned in G4:
@tihtri
@tito10464327

Top Mentioned in G5:
@k_hirahata
@styh131582
@ano_sci
@cdcgov
@luchaporlalib
@yfuruse

Top Mentioned in G6:
@ibaraki_kouhou
@chibaken_kouhou
@tsukubais
@konmei30
@bousai_sakura
@hiroshima_pref
@hscchiba
@funwari_fuwari
@k_hirahata
@styh131582

Top Mentioned in G7:
@disclosetv
@andrewlazarus4
@kevinault
@provaxtexan
@kstateturk
@mcfunny
@gbnews
@mpc_xetts
@tseex
@optimistic081

Top Mentioned in G8:
@ministeriosalud
@fuchslocher1978

Top Mentioned in G9:
@enfrmrasaturada

Top Mentioned in G10:
@angryfleas
@emma34770971
@houndthelibs
@kerryoleary4
@notasoreloser
@paul4dogs
@paullombardi2
@kimberl47031679
@sundog723
@femmevoilet

Top Tweeters
Top Tweeters in Entire Graph:
@cas_2050001283
@dichristine
@jurylady5
@macha_oji
@matiere
@cooperativa
@united
@akane_kawahata
@inabster
@sunny_days365

Top Tweeters in G1:
@reuters
@cmartyluso1
@rosyjour
@bfmtv
@edira2
@le_parisien
@lopezdominique2
@barberis888
@talullabellefle
@levyloiseau

Top Tweeters in G2:
@altai_armande
@lunace2pama
@actusnonstop
@danubaud
@yvespdb
@marc_claret75
@william85837998
@mdrechsler
@babs_cat33
@mansan_man

Top Tweeters in G3:
@dichristine
@jurylady5
@john1966olsen
@wadakashiho
@vonrosenchild
@katcapps
@adekleine
@miss_placed_
@suekhi
@tyberzannxxxx

Top Tweeters in G4:
@cas_2050001283
@matiere
@gooochin
@personalfitnes3
@mbvukutaphiri
@didaclopez
@g_orl
@shige_2haime
@akeyarqriser
@eagerbeavertech

Top Tweeters in G5:
@macha_oji
@akane_kawahata
@sunny_days365
@sosorasora3
@sippomagari
@kinasato_cap001
@packraty
@otakutokkai
@uchida_kawasaki
@soramiffy

Top Tweeters in G6:
@tsuka_kazunee
@noel_hasui
@shirayukihime_p
@k6310msm
@sgr_kn
@kaorin_ntw
@dummyxtweet
@kazubachev
@beer_prius
@shinngen50

Top Tweeters in G7:
@sandoly
@tmzedg
@doritmi
@_mamadeb
@just4thecause
@kath2cats
@mcfunny
@chimera414
@malo_j
@awithonelison

Top Tweeters in G8:
@infozeus
@virario3
@felipeagalaz95
@mgarcia318
@chidalgo
@lelelx
@vivimatus
@pablolabarcac
@andreasakurada
@alejandrobrav0

Top Tweeters in G9:
@15barco
@chusgc
@raudigerhund
@silvita0811
@tobeasunflower
@carlasassy24
@mar_tukii16
@antuansabinero
@vanesa_rms
@andybetagames

Top Tweeters in G10:
@vickie627
@jencages
@rhsibley
@medwoman1
@marvin_hill123
@sandraclunie
@asjah8
@poguemoran
@emma34770971
@angryfleas


Tags:
Connected Action Your Link to Social Network Insights
About NodeXL Get NodeXL Pro Get NodeXL Basic (Free!) Renew NodeXL Pro Upload Your NodeXL Graphs Contact Us

We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.

Accept Reject