Coronavirus, Twitter, 12/22/2022 11:36:39 AM, 286762
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Coronavirus_2022-12-22_03-09-21.xlsx
Coronavirus_2022-12-22_03-09-21.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
December 22, 2022
Short Description:
Coronavirus via NodeXL https://bit.ly/3hFt6GZ
@drericding
@indiatoday
@riteshj11074533
@luckytran
@washingtonpost
@news18india
@shomburg
@rishi_iitr
@projectn95
@cdcgov

Top hashtags:
#coronavirus
#covid19
#covid
#china
#corona
#chinacovid
#prevención
#covidisnotover

Description:
Description
The graph represents a network of 7,875 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 22 December 2022 at 11:25 UTC.

The requested start date was Thursday, 22 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 1-hour, 41-minute period from Monday, 19 December 2022 at 10:43 UTC to Wednesday, 21 December 2022 at 12:25 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 : 7875
Unique Edges : 3499
Edges With Duplicates : 11656
Total Edges : 15155
Number of Edge Types : 5
Tweet : 2492
Mentions : 1611
Retweet : 5089
MentionsInRetweet : 5509
Replies to : 454
Self-Loops : 2603
Reciprocated Vertex Pair Ratio : 0.00677812923633077
Reciprocated Edge Ratio : 0.0134649910233393
Connected Components : 2005
Single-Vertex Connected Components : 1085
Maximum Vertices in a Connected Component : 2696
Maximum Edges in a Connected Component : 6377
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.515576
Graph Density : 0.000107792977490717
Modularity : 0.486377
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,875 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 22 December 2022 at 11:25 UTC.

The requested start date was Thursday, 22 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 1-hour, 41-minute period from Monday, 19 December 2022 at 10:43 UTC to Wednesday, 21 December 2022 at 12:25 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 : Coronavirus
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:
[85] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea
[40] https://newsdigest.jp/pages/coronavirus/
[32] https://www.youtube.com/watch?v=PYMAWdaaykQ
[29] https://www.spiegel.de/wissenschaft/medizin/coronavirus-entstehung-von-omikron-wurde-laut-charite-studie-wohl-schlicht-uebersehen-a-7a33b007-5e89-49c2-bfbc-19c4ca7af3a4
[25] https://www.pref.yamanashi.jp/koucho/coronavirus/info_coronavirus_prevention.html#toujitsu
[22] https://www3.nhk.or.jp/news/special/coronavirus/data/
[22] https://www.telegraph.co.uk/news/2020/03/24/nurses-resort-wearing-bin-liners-protection-against-coronavirus/
[20] https://economictimes.indiatimes.com/news/international/world-news/over-60-population-in-china-may-be-infected-by-covid-in-next-3-months-experts-predict/videoshow/96373304.cms?from=mdr
[17] https://www.francetvinfo.fr/sante/maladie/coronavirus/covid-19-la-haute-autorite-de-sante-recommande-d-elargir-la-vaccination-aux-enfants-a-risque-ages-de-6-mois-a-4-ans_5553315.html
[16] https://jp.reuters.com/article/health-coronavirus-china-forecast-idJPKBN2T20EM

Top URLs in Tweet in G1:
[23] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea
[20] https://economictimes.indiatimes.com/news/international/world-news/over-60-population-in-china-may-be-infected-by-covid-in-next-3-months-experts-predict/videoshow/96373304.cms?from=mdr
[13] https://www3.nhk.or.jp/news/special/coronavirus/data/
[9] https://www.worldometers.info/coronavirus/
[7] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea?utm_campaign=storyshare&utm_source=twitter.com&utm_medium=social
[7] https://fij.info/coronavirus-feature/overseas#tempo0211
[6] https://jp.reuters.com/article/health-coronavirus-china-forecast-idJPKBN2T20EM
[6] https://jp.reuters.com/article/health-coronavirus-health-idJPKBN2T408Z
[6] https://www.diariocontraste.com/2021/01/el-diagnovir-detecta-el-coronavirus-en-10-segundos/
[6] http://partydomme.com/news/

Top URLs in Tweet in G2:
[32] https://www.youtube.com/watch?v=PYMAWdaaykQ
[8] https://www.indiatoday.in/coronavirus-outbreak/story/new-covid-model-predicts-over-1-million-deaths-in-china-through-2023-2310242-2022-12-17
[5] https://zeenews.india.com/bengali/photos/new-covid-19-wave-in-china-predicts-10-lakhs-death-threats-453242
[4] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3Dpx8jlGQ7DcM&q=EgS4SO-bGOqtx4YGIhAc34bQNDjUtdxeDD6LGrApMgFy
[3] https://hindi.opindia.com/reports/international/coronavirus-news-wave-in-china-create-mayhem-experts-predict-more-than-half-of-population-will-be-infected-pandemic/
[3] https://sandesh.com/d
[2] https://www.indiatoday.in/coronavirus-outbreak/story/60-percent-of-china-could-be-infected-by-covid-in-next-3-months-says-epidemiologist-2311342-2022-12-20
[2] https://www.indiatoday.in/world/story/china-covid19-outbreak-us-concerned-of-new-variants-beijing-coronavirus-wave-covid-zero-protocol-2311335-2022-12-20
[2] https://hindi.opindia.com/national/know-all-about-what-is-tablighi-jamaat-connection-umesh-kolhe-murder-maharashtra-amravati-coronavirus-islamic-extremism/
[2] https://www.indiatoday.in/coronavirus-outbreak/story/new-covid-model-predicts-over-1-million-deaths-in-china-through-2023-2310242-2022-12-17?utm_source=twshare

Top URLs in Tweet in G3:
[7] https://www.scmp.com/news/china/politics/article/3203830/coronavirus-after-chinas-pandemic-backflip-megacity-urges-people-mild-symptoms-keep-turning-work?utm_content=article&utm_medium=Social&utm_source=Twitter#Echobox=1671442571-1
[3] https://www.beyondblue.org.au/get-support/online-forums/staying-well/coping-during-the-coronavirus-outbreak?utm_source=twitter&utm_medium=organic&utm_campaign=organicsocial_bb_mar20&utm_demo=all&utm_targeting=null&utm_format=link&utm_creative=illustration&utm_objective=null&utm_id=organicsocial_bb0309
[2] https://nymag.com/intelligencer/2020/03/why-was-it-so-hard-to-raise-the-alarm-on-coronavirus.html
[2] https://nymag.com/intelligencer/amp/2020/03/why-was-it-so-hard-to-raise-the-alarm-on-coronavirus.html
[2] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea
[2] https://www.aljazeera.com/news/2022/12/20/crematoriums-in-china-struggle-as-covid-spreads
[2] https://www.ndtv.com/india-news/coronavirus-union-health-minister-mansukh-mandaviya-writes-to-rahul-gandhi-to-ensure-covid-19-rules-are-followed-in-his-bharat-jodo-yatra-3625050
[1] https://www.bostonglobe.com/2021/12/07/nation/weekly-averages-covid-19-detected-boston-wastewater-reach-highest-levels-yet/
[1] https://www.beyondblue.org.au/the-facts/looking-after-your-mental-health-during-the-coronavirus-outbreak?utm_source=linkedin&utm_medium=organic&utm_campaign=organicsocial_bb_mar20&utm_demo=all&utm_targeting=null&utm_format=link&utm_creative=illustration&utm_objective=null&utm_id=organicsocial_bb0292
[1] https://www.livescience.com/covid-what-we-know-about-new-omicron-variant-bf-7

Top URLs in Tweet in G4:
[1] http://www.laradiodelsur.com.ve/covid-19-sigue-siendo-la-primera-causa-de-muerte-en-espana/
[1] https://twitter.com/DrRaulin/status/1605519376559603713
[1] https://twitter.com/AaronDa23059372/status/1605497853178130433
[1] https://twitter.com/ALFTORO/status/1605513568635523072
[1] https://twitter.com/AaronDa23059372/status/1605499398724603904
[1] https://twitter.com/delcyrodriguezv/status/1604666002377170948
[1] https://go.shr.lc/3FDuWjz

Top URLs in Tweet in G5:
[3] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea
[1] https://elpais.com/sociedad/2022-12-19/china-admite-las-dos-primeras-muertes-por-covid-en-medio-de-su-peor-ola-de-contagios.html?utm_source=Twitter&ssm=TW_CM#Echobox=1671472430

Top URLs in Tweet in G6:
[2] https://www.aajtak.in/coronavirus/story/china-covid-again-rising-beijing-many-dead-mega-wave-coming-ntc-1598151-2022-12-20
[2] https://www.aajtak.in/coronavirus/story/covid-in-india-china-threat-health-ministry-preventive-measure-ntc-1599362-2022-12-21
[2] https://www.jamawat.com/news/covid-health-minister-mansukh-mandavia-coronavirus-cases-central-health-ministry-china-review-meeting
[1] https://www.news18.com/news/india/live-updates-covid-19-news-coronavirus-review-meet-1130-am-mansukh-mandaviya-china-livenews-6661537.html
[1] https://twitter.com/SidDholakia/status/1605531829313843206
[1] https://twitter.com/DhwaniRohini/status/1605522158754603008
[1] https://www.vtvgujarati.com/news-details/random-sampling-of-international-passengers-for-covid19-has-started-at-airports-in-the
[1] https://www.vtvgujarati.com/news-details/another-variant-of-corona-appeared-in-gujarat
[1] https://tv.media.jio.com/extras/index.html?channelId=162&referrer=utm_source%3D

Top URLs in Tweet in G7:
[1] https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/

Top URLs in Tweet in G8:
[4] https://www.rte.ie/news/coronavirus/2022/1220/1342882-china-covid/
[3] https://www.news-medical.net/news/20221219/Study-demonstrates-robust-antibody-response-elicited-by-trivalent-protein-subunit-vaccine-against-SARS-CoV-2.aspx
[2] https://english.alarabiya.net/coronavirus/2022/12/20/China-races-to-install-hospital-beds-as-COVID-19-surge-sparks-global-concern
[2] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea?utm_source=dlvr.it&utm_medium=twitter
[2] https://www.news-medical.net/news/20221219/Study-suggests-sleep-disturbance-is-associated-with-dyspnoea-anxiety-and-muscle-weakness-following-COVID-19-hospitalization.aspx
[2] http://ws-jp.co.jp/2020/11/10/australia-10-pharmaceutical-corporations/
[2] http://ws-jp.co.jp/2021/02/19/recent-articles-about-japan-8/
[2] http://ws-jp.co.jp/2021/01/14/recent-articles-about-japan-4/
[2] https://twitter.com/PLafala/status/1524598316050247682?t=9F5lzWL1YVMINTkuqeFl9w&s=09
[1] https://nyti.ms/3YBKJI3

Top URLs in Tweet in G9:
[28] https://www.spiegel.de/wissenschaft/medizin/coronavirus-entstehung-von-omikron-wurde-laut-charite-studie-wohl-schlicht-uebersehen-a-7a33b007-5e89-49c2-bfbc-19c4ca7af3a4
[3] https://legemiddelverket.no/Documents/English/Covid-19/20220401%20Reported%20suspected%20adverse%20reactions%20coronavirus%20vaccines.pdf
[2] https://legemiddelverket.no/Documents/English/Covid-19/20220107%20Reported%20suspected%20adverse%20reactions%20coronavirus%20vaccines%20-%20updated%2020220113.pdf
[1] https://coronavirus.jhu.edu/data/new-cases
[1] https://rp-online.de/panorama/coronavirus/krankenhausgesellschaft-fordert-ende-der-isolationspflicht-fuer-klinikbeschaeftigte_aid-81557131
[1] https://www.businesstoday.in/coronavirus/story/covid-19-hazard-156-bn-masks-pollute-oceans-in-2020-claims-study-283044-2020-12-30
[1] https://www.shutterstock.com/de/image-photo/coronavirus-covid-19-treatment-background-patient-1684525210
[1] https://www.focus.de/gesundheit/coronavirus/die-vergessenen-corona-toten_id_180461209.html
[1] https://www.covidmedicalnetwork.com/coronavirus-facts/statistics/bells-palsy.aspx
[1] https://www.pei.de/DE/newsroom/dossier/coronavirus/arzneimittelsicherheit.html

Top URLs in Tweet in G10:
[1] https://public.tableau.com/app/profile/phs.covid.19/viz/COVID-19DailyDashboard_15960160643010/Dailyupdate
[1] https://www.therecord.com/news/waterloo-region/2022/12/20/immune-systems-seriously-weakened-by-covid.html
[1] https://www.indiatoday.in/coronavirus-outbreak/story/60-percent-of-china-could-be-infected-by-covid-in-next-3-months-says-epidemiologist-2311342-2022-12-20?utm_source=twshare
[1] https://www.npr.org/sections/goatsandsoda/2022/12/15/1143002538/china-appears-to-be-facing-what-could-be-the-world-s-largest-coronavirus-outbrea
[1] https://www.idowa.de/inhalt.ausbreitung-covid-19-coronavirus-in-bayern-news-infos-hinweise.e7d51931-1456-4f0f-b9bb-467ad4341115.html

Top Domains
Top Domains in Tweet in Entire Graph:
[144] reuters.com
[135] blogspot.com
[135] twitter.com
[123] youtube.com
[105] npr.org
[57] co.uk
[47] francetvinfo.fr
[44] or.jp
[40] newsdigest.jp
[35] indiatoday.in

Top Domains in Tweet in G1:
[59] twitter.com
[33] reuters.com
[31] npr.org
[25] youtube.com
[23] or.jp
[23] indiatimes.com
[17] co.uk
[14] worldometers.info
[13] amazon.com
[12] nhs.uk

Top Domains in Tweet in G2:
[36] youtube.com
[20] indiatoday.in
[9] twitter.com
[8] sandesh.com
[7] india.com
[7] newstrack.com
[5] opindia.com
[4] news18.com
[4] moneycontrol.com
[4] google.com

Top Domains in Tweet in G3:
[7] scmp.com
[4] nymag.com
[4] org.au
[4] twitter.com
[4] com.au
[3] npr.org
[2] aljazeera.com
[2] ndtv.com
[1] bostonglobe.com
[1] livescience.com

Top Domains in Tweet in G4:
[5] twitter.com
[1] com.ve
[1] shr.lc

Top Domains in Tweet in G5:
[3] npr.org
[1] elpais.com

Top Domains in Tweet in G6:
[4] aajtak.in
[2] jamawat.com
[2] twitter.com
[2] vtvgujarati.com
[1] news18.com
[1] jio.com

Top Domains in Tweet in G7:
[1] statista.com

Top Domains in Tweet in G8:
[9] twitter.com
[8] co.jp
[7] news-medical.net
[6] rte.ie
[3] cdc.gov
[3] alarabiya.net
[2] worldometers.info
[2] npr.org
[1] nyti.ms
[1] usf.edu

Top Domains in Tweet in G9:
[28] spiegel.de
[6] legemiddelverket.no
[1] jhu.edu
[1] rp-online.de
[1] businesstoday.in
[1] shutterstock.com
[1] focus.de
[1] covidmedicalnetwork.com
[1] pei.de
[1] worldometers.info

Top Domains in Tweet in G10:
[1] tableau.com
[1] therecord.com
[1] indiatoday.in
[1] npr.org
[1] idowa.de

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2374] coronavirus
[1014] covid19
[546] covid
[494] china
[239] corona
[219] chinacovid
[203] prevención
[182] covidisnotover
[159] covid_19
[128] tipsdeprevencion



Top Hashtags in Tweet in G1:
[672] coronavirus
[206] covid19
[146] covid
[99] chinacovid
[93] china
[75] corona
[60] covidisnotover
[37] audioleak
[33] เรือหลวงสุโขทัย
[31] messi𓃵

Top Hashtags in Tweet in G2:
[380] coronavirus
[158] china
[92] covid19
[72] covid
[68] corona
[57] covidisnotover
[42] chinacovid
[37] breakingnews
[34] india
[21] bharatjodoyatra

Top Hashtags in Tweet in G3:
[10] coronavirus
[4] china
[3] covid19
[3] covid19sa
[2] savitri
[2] sriaurobindo
[2] covid19wa
[2] covid19aus
[1] covidisnotover
[1] colorrevolution

Top Hashtags in Tweet in G4:
[198] prevención
[22] elpetro
[21] produccióndemipatria
[20] petroapp
[17] 21dic
[15] coronavirus
[12] covid19
[12] 20dic
[12] app
[10] criptomoneda

Top Hashtags in Tweet in G6:
[133] coronavirus
[92] covid19
[85] china
[80] bigbreaking
[15] gujarat
[11] covid
[7] corona
[7] omicron
[3] chinacovid
[2] dangal

Top Hashtags in Tweet in G8:
[23] covid19
[20] coronavirus
[12] covid
[9] china
[5] sarscov2
[5] vaccine
[4] vaccination
[4] us
[3] antibody
[3] antibodies

Top Hashtags in Tweet in G9:
[2] corona
[2] china
[1] robbins
[1] courageousdiscourse
[1] pei
[1] lauterbach

Top Hashtags in Tweet in G10:
[6] coronavirus
[5] covid19
[4] sarscov2
[2] japan

Top Words
Top Words in Tweet in Entire Graph:
[4828] क
[3443] र
[2780] न
[2374] #coronavirus
[2264] म
[1950] स
[1837] coronavirus
[1780] ल
[1654] ह
[1509] त

Top Words in Tweet in G1:
[732] क
[672] #coronavirus
[485] र
[438] न
[391] coronavirus
[356] म
[313] स
[271] ल
[265] covid
[259] ह

Top Words in Tweet in G2:
[1862] क
[1173] र
[1147] न
[886] म
[745] स
[579] ल
[545] त
[538] ह
[448] ब
[393] य

Top Words in Tweet in G3:
[610] time
[609] doubling
[451] drericding
[323] china
[305] possibly
[305] days
[304] anymore
[304] experts
[304] hours
[304] sink

Top Words in Tweet in G4:
[201] vacuna
[198] inmunización
[198] lugar
[198] trabajo
[198] centro
[198] domicilio
[198] acude
[198] ponte
[198] cercano
[198] #prevención

Top Words in Tweet in G5:
[129] days
[126] next
[126] over
[126] infected
[125] stand
[125] luckytran
[125] planet's
[125] matter
[125] 10
[125] 90

Top Words in Tweet in G6:
[270] क
[238] र
[210] म
[191] ર
[157] ન
[153] ક
[133] #coronavirus
[132] bf
[131] સ
[122] न

Top Words in Tweet in G7:
[131] ronnyjacksontx
[130] origins
[129] lord
[129] savior
[129] lied
[128] believe
[127] radical
[125] fauci
[125] left
[124] coronavi

Top Words in Tweet in G8:
[38] covid
[25] china
[24] coronavirus
[23] #covid19
[22] 19
[20] #coronavirus
[18] deaths
[14] crematoriums
[13] virus
[12] rtenews

Top Words in Tweet in G9:
[89] die
[61] shomburg
[58] sofort
[57] krankenhausgesellschaft
[57] gesunde
[57] lassen
[57] pflegekräfte
[57] arbeiten
[57] testpositive
[57] ausland

Top Words in Tweet in G10:
[86] doubling
[86] time
[85] china
[83] hours
[80] goodbye
[80] pharmaceuticals
[80] supply
[80] economy
[80] chains
[80] global

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1018] क,र
[915] र,न
[813] न,क
[722] doubling,time
[579] च,न
[434] covid,19
[421] न,म
[417] त,र
[378] स,क
[358] र,क

Top Word Pairs in Tweet in G1:
[167] क,र
[154] र,न
[125] covid,19
[113] न,क
[87] च,न
[78] न,म
[63] स,क
[63] #coronavirus,#covid19
[55] #covid,#coronavirus
[54] म,क

Top Word Pairs in Tweet in G2:
[388] क,र
[375] न,क
[364] र,न
[303] च,न
[211] न,म
[159] क,ब
[144] स,क
[141] त,र
[128] म,क
[114] र,स

Top Word Pairs in Tweet in G3:
[608] doubling,time
[304] possibly,hours
[304] hours,experts
[304] experts,sink
[304] time,china
[304] anymore,doubling
[304] china,days
[304] days,anymore
[304] time,possibly
[303] drericding,doubling

Top Word Pairs in Tweet in G4:
[198] cercano,domicilio
[198] acude,centro
[198] trabajo,ponte
[198] ponte,vacuna
[198] inmunización,cercano
[198] domicilio,lugar
[198] lugar,trabajo
[198] #prevención,acude
[198] centro,inmunización
[180] vtvcanal8,#prevención

Top Word Pairs in Tweet in G5:
[126] infected,over
[125] population,become
[125] next,90
[125] over,course
[125] 90,days
[125] become,infected
[125] course,next
[125] 10,planet's
[125] matter,stand
[125] planet's,population

Top Word Pairs in Tweet in G6:
[101] क,र
[100] र,न
[93] न,क
[91] म,ल
[90] ए,ट
[90] व,र
[90] र,ए
[85] म,क
[85] #covid19,#coronavirus
[84] भ,रत

Top Word Pairs in Tweet in G7:
[129] lord,savior
[128] believe,lied
[128] lied,origins
[127] savior,radical
[125] left,believe
[125] radical,left
[125] fauci,lord
[124] origins,coronavi
[124] ronnyjacksontx,fauci
[5] origins,coronavirus

Top Word Pairs in Tweet in G8:
[20] covid,19
[10] ended,dec
[10] days,ended
[10] 14,days
[7] bodies,country
[7] country,battles
[7] straining,deal
[7] crematoriums,china
[7] battles,wave
[7] china,straining

Top Word Pairs in Tweet in G9:
[57] pflegekräfte,arbeiten
[57] lassen,ausland
[57] ausland,sofort
[57] gesunde,testpositive
[57] fordert,gesunde
[57] krankenhausgesellschaft,fordert
[57] arbeiten,lassen
[57] testpositive,pflegekräfte
[57] die,krankenhausgesellschaft
[56] sofort,wirk

Top Word Pairs in Tweet in G10:
[86] doubling,time
[80] pharmaceuticals,supply
[80] hours,goodbye
[80] supply,chains
[80] china,doubling
[80] time,hours
[80] global,economy
[80] chains,global
[80] goodbye,pharmaceuticals
[79] maolesen,china

Top Replied-To
Top Replied-To in Entire Graph:
@ronnyjacksontx
@indiatoday
@jojo474111
@abpnews
@cafreeland
@thehill
@drericding
@maurorossi75
@lizduffy22
@repjamescomer

Top Replied-To in G1:
@hilifeloski

Top Replied-To in G2:
@indiatoday
@abpnews
@indiatvnews
@economictimes
@indiatvhindi
@pmoindia
@anandshankerbjp
@shreyans045
@sardesairajdeep
@ravindrak2000

Top Replied-To in G3:
@drericding
@jenniferzeng97

Top Replied-To in G5:
@luckytran

Top Replied-To in G6:
@dhwanirohini
@mansarajasthani

Top Replied-To in G7:
@ronnyjacksontx
@rjinmelb

Top Replied-To in G8:
@nytimes
@cdcgov
@relaxfactsrfun
@heatmiser451
@medrxivpreprint
@biorxivpreprint
@biorxiv_immuno
@zubymusic
@luisdsilvadmd
@inquirerdotnet

Top Replied-To in G9:
@karl_lauterbach
@justintrudeau
@satisfymysoul93
@dlemkemeyer

Top Replied-To in G10:
@handsoffthekidz

Top Mentioned
Top Mentioned in Entire Graph:
@drericding
@vtvcanal8
@luckytran
@ronnyjacksontx
@aajtak
@cdilaa
@maolesen
@delcyrodriguezv
@yurumazu
@pvanhouwelingen

Top Mentioned in G1:
@debugliesnews
@jordieldandy
@modified_fixed1
@homeopathicrx
@thalayangamnews
@alusteel_q8
@eldiario_net
@janbhawana
@visionri_
@sunsunscaco

Top Mentioned in G2:
@indiatoday
@news18india
@mansukhmandviya
@opindia_in
@bharat24liv
@narendramodi
@zeenews
@1stindianews
@mohfw_india
@pmoindia

Top Mentioned in G3:
@drericding
@kit_yates_maths
@bigbaddenis
@scmpnews
@sasswashere
@anonylyzer13
@hdsb
@mariannmeedward
@haltonpolice
@juliagillard

Top Mentioned in G4:
@vtvcanal8
@delcyrodriguezv
@gabrielasjr
@angeiherca
@maurismarl
@nicolasmaduro
@rcr750
@mercede073
@chavista0101
@es_ine

Top Mentioned in G5:
@luckytran
@angry_staffer
@evelio_prieto
@drericding
@el_pais

Top Mentioned in G6:
@aajtak
@gujhfwdept
@brijdoshi
@siddholakia
@ibharat_58
@dhwanirohini
@cnnnews18
@hdraval93
@devanshijoshi71
@bhawanakishore

Top Mentioned in G7:
@ronnyjacksontx
@bioarchmark
@jlswls2012
@richo_1973

Top Mentioned in G8:
@rtenews
@nytimes
@cdcgov
@washingtonpost
@smh
@wsjp_insight
@repthomasmassie
@business
@norm_farrell
@alarabiya_eng

Top Mentioned in G9:
@shomburg
@tim_roehn
@karl_lauterbach
@quo_vadis_brd
@p_mcculloughmd
@123koko_
@drericding
@wolff_ernst
@draseidler
@deframing23

Top Mentioned in G10:
@maolesen
@tigresseleanor
@drericding
@luckytran
@cheyleia
@indiatoday

Top Tweeters
Top Tweeters in Entire Graph:
@infoitinterno
@manchan_sub_acc
@56perumal
@mortgage_shop
@telesurtv
@maria_andy2
@cooperativa
@yarosisnancy
@diariocontraste
@lucioquincioc

Top Tweeters in G1:
@infoitinterno
@mortgage_shop
@diariocontraste
@yymods
@rejoiceamerica
@hagiwararyu11
@fwwinterberg
@rogue_corq
@ejutv
@bizitalk

Top Tweeters in G2:
@indiatoday
@vinodshadija
@1stindianews
@timesofindia
@indiatodayflash
@indiatvnews
@economictimes
@ani
@ravalkalpesh_s
@the_hindu

Top Tweeters in G3:
@yarosisnancy
@lesleygsmith3
@monty_chadha
@deepvard
@robsongfreire
@blanketcrap
@llama_strudel
@trumpgot2go
@daveyk317
@beatax088

Top Tweeters in G4:
@telesurtv
@vtvcanal8
@lilidiaz8
@laradiodelsur
@joserafaelbenc2
@ojopelao
@mercede073
@salser077
@rcr750
@erick_bas1988

Top Tweeters in G5:
@mangellife29
@el_pais
@ranilyons
@ht4ecosocialism
@mrsunlawyer
@anne_tappe
@pablotopo
@bevvincent
@sweetie_tweeter
@liesbethvberkel

Top Tweeters in G6:
@cnnnews18
@aajtak
@sumit_sangwan20
@pranav9983
@anshunandanpra4
@mahavee55666555
@vtvgujarati
@1011jigar
@vishalt92442012
@rsgohel

Top Tweeters in G7:
@tc1776
@dudawant
@stringfellowfr4
@colleenblueeyes
@raytoutofer
@nebing
@patotto8
@_duck_tweeting
@big_catsf
@num1cboysfn

Top Tweeters in G8:
@inquirerdotnet
@reuters
@business
@guardian
@irishtimes
@skynews
@nytimes
@mailonline
@annfinster
@washingtonpost

Top Tweeters in G9:
@berlinaffaires
@witzigwalter
@wellnessfr
@karlerbach
@pauleheyman
@leelah1
@m_ueberall
@michaelchadham1
@england_donald
@dave__lightman

Top Tweeters in G10:
@hacketttom
@guse_guse
@cabbidges
@iammardikins
@teacherdude
@wizepenguin
@ldrscke
@diggitydogdo
@joaniereb
@bishbash19


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