Corona Flu, Twitter, 3/10/2020 12:24:34 AM, 222655


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Corona Flu_2020-03-09_07-34-19.xlsx
Corona Flu_2020-03-09_07-34-19.xlsx
From:
Connected Action NodeXL-Reports
Uploaded on:
March 10, 2020
Short Description:
Corona Flu via NodeXL http://bit.ly/39EIg5N
@petersweden7
@realdonaldtrump
@stoolpresidente
@mvmeet
@fyang_ep
@no_silenced
@mrsc_assange
@ffrreemarkets
@htwells3
@titusnation

Top hashtags:
#coronavirus
#covid2019
#corona
#covid19
#coronavirusoutbreak
#flu
#virus

Description:
Description
The graph represents a network of 21,285 Twitter users whose recent tweets contained "Corona Flu", 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, 09 March 2020 at 17:11 UTC.

The tweets in the network were tweeted over the 1-day, 23-hour, 31-minute period from Saturday, 07 March 2020 at 15:02 UTC to Monday, 09 March 2020 at 14:34 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 : 21285
Unique Edges : 21603
Edges With Duplicates : 2488
Total Edges : 24091
Number of Edge Types : 5
Tweet : 3092
Retweet : 10177
Replies to : 4839
Mentions : 4294
MentionsInRetweet : 1689
Self-Loops : 3149
Reciprocated Vertex Pair Ratio : 0.0057515142260905
Reciprocated Edge Ratio : 0.0114372469635628
Connected Components : 4277
Single-Vertex Connected Components : 2022
Maximum Vertices in a Connected Component : 10696
Maximum Edges in a Connected Component : 13745
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.473959
Graph Density : 4.36174262566399E-05
Modularity : 0.838434
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 21,285 Twitter users whose recent tweets contained "Corona Flu", 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, 09 March 2020 at 17:11 UTC.

The tweets in the network were tweeted over the 1-day, 23-hour, 31-minute period from Saturday, 07 March 2020 at 15:02 UTC to Monday, 09 March 2020 at 14:34 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 : Corona Flu
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:
[36] https://www.foxnews.com/health/cdc-flu-killed-20k-americans-children
[9] https://www.cdc.gov/flu/about/burden/preliminary-in-season-estimates.htm
[9] https://twitter.com/krisssnicolee/status/1236309595544584192
[8] https://www.dailykos.com/stories/2020/3/5/1924525/-Trump-calls-Sean-Hannity-to-downplay-COVID-19-as-corona-flu-and-call-the-death-rate-fake-numbers
[7] https://twitter.com/joshtpm/status/1236069667657089030
[6] https://www.livescience.com/new-coronavirus-compare-with-flu.html
[6] https://twitter.com/Politidope/status/1235415582931066880
[5] https://www.cdc.gov/flu/weekly/index.htm
[5] https://www.cnbcindonesia.com/news/20200309080557-4-143318/duh-bukan-cuma-corona-korsel-dibuat-pusing-flu-babi?utm_source=twitter&utm_medium=oa&utm_content=cnbcindonesia&utm_campaign=cmssocmed
[5] https://www.health.com/condition/cold-flu-sinus/how-many-people-die-of-the-flu-every-year

Top URLs in Tweet in G1:
[8] https://twitter.com/krisssnicolee/status/1236309595544584192
[6] https://www.foxnews.com/health/cdc-flu-killed-20k-americans-children
[5] https://twitter.com/joshtpm/status/1236069667657089030
[4] https://twitter.com/LizSpecht/status/1236095180459003909
[4] https://www.dailykos.com/stories/2020/3/5/1924525/-Trump-calls-Sean-Hannity-to-downplay-COVID-19-as-corona-flu-and-call-the-death-rate-fake-numbers
[4] https://universaldigest.com/coronavirus-source-soros-hate/
[4] https://www.youtube.com/watch?v=_01s4Mut2YQ&feature=youtu.be

[4] https://www.youtube.com/watch?v=e873dl6gWUw&feature=youtu.be

[3] https://twitter.com/sethbannon/status/1236125593290276864
[3] https://twitter.com/adamclarkitv/status/1236289649737371648

Top URLs in Tweet in G2:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845129/

Top URLs in Tweet in G3:
[17] https://www.foxnews.com/health/cdc-flu-killed-20k-americans-children
[3] https://www.dailykos.com/stories/2020/3/5/1924525/-Trump-calls-Sean-Hannity-to-downplay-COVID-19-as-corona-flu-and-call-the-death-rate-fake-numbers
[2] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-disease-2019-vs-the-flu?amp=true
[2] https://www.nytimes.com/2020/01/01/opinion/china-swine-fever.html
[2] https://bradleycongress.com/
[2] https://bizpacreview.com/2019/08/02/dr-drew-dem-debates-ignore-la-homelessness-because-its-an-indictment-of-their-failed-policies-781079
[2] https://www.youtube.com/watch?v=dcJDpV-igjs&feature=youtu.be

[2] https://www.health.com/condition/cold-flu-sinus/how-many-people-die-of-the-flu-every-year
[2] https://www.cnn.com/2020/03/07/us/florida-coronavirus-deaths/index.html
[1] https://www.washingtonpost.com/health/what-went-wrong-with-the-coronavirus-tests/2020/03/07/915f5dea-5d82-11ea-b29b-9db42f7803a7_story.html#click=https://t.co/1NmSbbYrHg

Top URLs in Tweet in G4:
[1] https://www.wlns.com/news/michigan/what-you-need-to-know-about-the-flu-amid-the-coronavirus-outbreak/

Top URLs in Tweet in G6:
[3] https://www.foxnews.com/health/cdc-flu-killed-20k-americans-children
[1] https://www.foxnews.com/us/coronavirus-new-york-update-cuomo-state-emergency
[1] https://twitter.com/mitchellvii/status/1236319174991007745
[1] https://twitter.com/talialikeitis/status/1235312405384761345

Top URLs in Tweet in G7:
[1] https://www.theverge.com/platform/amp/2020/3/7/21167807/coronavirus-prison-jail-health-outbreak-covid-19-flu-soap?__twitter_impression=true

Top URLs in Tweet in G8:
[1] https://twitter.com/AHLA/status/1235203642807984128
[1] https://corona.help/country/south-korea
[1] https://www.ncbi.nlm.nih.gov/m/pubmed/22423139/

Top URLs in Tweet in G10:
[2] https://twitter.com/ScottHendrick49/status/1236367833501708289
[1] https://www.foxnews.com/health/cdc-flu-killed-20k-americans-children
[1] https://www.dailymail.co.uk/news/article-7987009/Bird-flu-breaks-two-Chinese-provinces-near-coronaviruss-epicentre.html

Top Domains
Top Domains in Tweet in Entire Graph:
[448] twitter.com
[97] amazon.com
[49] youtube.com
[40] foxnews.com
[24] instagram.com
[23] cdc.gov
[16] co.uk
[8] dailykos.com
[8] cnbcindonesia.com
[8] nytimes.com

Top Domains in Tweet in G1:
[272] twitter.com
[23] instagram.com
[20] youtube.com
[8] cdc.gov
[7] co.uk
[6] foxnews.com
[5] feedburner.com
[4] dailykos.com
[4] universaldigest.com
[4] tribunnews.com

Top Domains in Tweet in G2:
[1] nih.gov

Top Domains in Tweet in G3:
[17] foxnews.com
[12] twitter.com
[3] dailykos.com
[3] hopkinsmedicine.org
[3] nytimes.com
[3] youtube.com
[2] cdc.gov
[2] bradleycongress.com
[2] bizpacreview.com
[2] health.com

Top Domains in Tweet in G4:
[1] wlns.com

Top Domains in Tweet in G6:
[4] foxnews.com
[2] twitter.com

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

Top Domains in Tweet in G8:
[1] twitter.com
[1] corona.help
[1] nih.gov

Top Domains in Tweet in G10:
[2] twitter.com
[1] foxnews.com
[1] co.uk

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[889] coronavirus
[619] covid2019
[302] corona
[202] covid19
[188] coronavirusoutbreak
[144] flu
[115] virus
[108] coronaoutbreak
[105] coronavirususa
[104] wuhanvirus



Top Hashtags in Tweet in G1:
[75] corona
[70] coronavirus
[40] covid19
[29] flu
[14] covidー19
[14] covid2019
[11] virus
[8] coronavirusoutbreak
[8] rt
[7] cornoravirus

Top Hashtags in Tweet in G2:
[3] coronavirus
[1] coronadenier
[1] corona
[1] covid2019
[1] liberalismisamentaldisorder
[1] covid19
[1] covid
[1] wuhanvirus
[1] coronavirusoutbreak
[1] coronovirus

Top Hashtags in Tweet in G3:
[16] foxnews
[13] coronavirus
[6] covid19
[5] maga
[4] flu
[3] fakenews
[3] s
[3] abc
[2] fakenewsmedia
[2] trumpliesaboutcoronavirus

Top Hashtags in Tweet in G4:
[1] brickbybrick
[1] viva

Top Hashtags in Tweet in G6:
[8] media
[3] foxnews
[2] qanon
[2] corona
[2] coronavirus
[1] bernie
[1] bebest
[1] hypocrite
[1] pencedemic
[1] trumpvirus

Top Hashtags in Tweet in G7:
[501] covid2019
[501] coronavirus

Top Hashtags in Tweet in G8:
[65] coronavirus
[1] bepreparednotpanicked

Top Hashtags in Tweet in G10:
[2] there
[2] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[10215] Words in Sentiment List#1: Positive
[48069] Words in Sentiment List#2: Negative
[1278] Words in Sentiment List#3: Angry/Violent
[639328] Non-categorized Words
[697615] Total Words
[23954] flu
[20099] corona
[11971] virus
[7970] people
[4206] rate

Top Words in Tweet in G1:
[2379] flu
[2193] corona
[1391] virus
[627] people
[326] more
[163] year
[160] swine
[153] 000
[139] die
[136] media

Top Words in Tweet in G2:
[2681] flu
[2237] rate
[2179] corona
[2149] virus
[2107] italy
[1937] people
[1048] death
[964] mortality
[956] care
[947] really

Top Words in Tweet in G3:
[1246] flu
[1007] corona
[560] virus
[400] realdonaldtrump
[335] people
[199] 000
[197] deaths
[174] more
[143] died
[127] year

Top Words in Tweet in G4:
[1863] flu
[1838] deaths
[1837] cases
[1836] behind
[1836] last
[940] corona
[922] year
[919] 41
[919] million
[918] 20

Top Words in Tweet in G5:
[862] flu
[861] corona
[861] virus
[849] aids
[849] congo
[849] nipah
[849] malaysia
[849] bird
[849] hong
[849] kong

Top Words in Tweet in G6:
[734] time
[636] flu
[614] symptoms
[591] corona
[317] weeks
[317] everyone
[313] two
[308] contract
[308] gonna
[308] catch

Top Words in Tweet in G7:
[1002] prisons
[518] corona
[505] virus
[501] concerns
[501] sons
[501] life
[501] julian
[501] chronically
[501] ill
[501] higher

Top Words in Tweet in G8:
[1021] flu
[538] corona
[527] ebola
[461] swine
[332] 2010
[270] 2016
[270] 2020
[264] sars
[263] election
[263] years

Top Words in Tweet in G9:
[696] people
[690] fucking
[362] flu
[361] corona
[360] virus
[352] more
[347] stop
[347] racist
[346] die
[346] died

Top Words in Tweet in G10:
[821] flu
[406] corona
[340] virus
[290] common
[223] season
[191] trump
[185] people
[173] died
[164] over
[157] far

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[9533] corona,virus
[2029] swine,flu
[1689] corona,flu
[1554] death,rate
[1529] regular,flu
[1476] flu,corona
[1446] bird,flu
[1311] mortality,rate
[1152] virus,flu
[1073] last,year

Top Word Pairs in Tweet in G1:
[1126] corona,virus
[177] flu,corona
[155] swine,flu
[118] more,people
[113] corona,flu
[105] virus,flu
[76] flu,season
[62] wash,hands
[61] people,die
[56] flu,shot

Top Word Pairs in Tweet in G2:
[2135] corona,virus
[1039] death,rate
[964] mortality,rate
[940] intensive,care
[905] regular,flu
[680] virus,italy
[674] rate,corona
[617] virus,flu
[484] swine,flu
[483] saying,corona

Top Word Pairs in Tweet in G3:
[443] corona,virus
[163] corona,flu
[102] flu,corona
[68] swine,flu
[64] flu,season
[56] death,rate
[55] two,weeks
[50] people,die
[50] flu,president
[49] talk,congress

Top Word Pairs in Tweet in G4:
[919] 41,million
[918] corona,cases
[918] cases,20
[918] 20,deaths
[918] 56,990
[918] 990,deaths
[918] deaths,behind
[918] behind,flu
[918] flu,last
[918] last,year

Top Word Pairs in Tweet in G5:
[849] congo,nipah
[849] nipah,malaysia
[849] bird,flu
[849] flu,hong
[849] hong,kong
[849] corona,china
[849] dengue,manila
[606] world,aids
[606] aids,found
[606] found,congo

Top Word Pairs in Tweet in G6:
[313] two,weeks
[308] flu,gonna
[307] contract,flu
[307] gonna,probably
[307] probably,feel
[307] feel,symptoms
[307] symptoms,24hrs
[307] 24hrs,48hrs
[307] 48hrs,time
[307] time,infect

Top Word Pairs in Tweet in G7:
[505] corona,virus
[501] concerns,sons
[501] sons,life
[501] life,julian
[501] julian,chronically
[501] chronically,ill
[501] ill,higher
[501] higher,risk
[501] risk,dying
[501] dying,#covid2019

Top Word Pairs in Tweet in G8:
[461] swine,flu
[263] election,years
[263] years,sars
[263] sars,2004
[263] 2004,bird
[263] bird,flu
[263] flu,2008
[263] 2008,swine
[263] flu,2010
[263] 2010,mers

Top Word Pairs in Tweet in G9:
[359] corona,virus
[346] stop,being
[346] being,racist
[345] more,people
[345] people,die
[345] die,regular
[345] regular,fucking
[345] fucking,flu
[345] flu,year
[345] year,number

Top Word Pairs in Tweet in G10:
[290] common,flu
[197] flu,virus
[143] flu,killed
[143] corona,virus
[142] killed,20k
[142] 20k,americans
[142] americans,including
[142] including,136
[142] 136,children
[142] children,far

Top Replied-To
Top Replied-To in Entire Graph:
@cvpayne
@juci_jerk
@realdonaldtrump
@mattwalshblog
@nata5jaa
@piersmorgan
@drpaulgosar
@cnn
@elonmusk
@itsjefftiedrich

Top Replied-To in G1:

Top Replied-To in G2:
@petersweden7
@hrtablaze
@masuhkger
@stillgray
@kthopkins
@erotao
@wonderpriscilla
@trumplican02
@matthew4senate
@suganshank

Top Replied-To in G3:
@realdonaldtrump
@piersmorgan
@drpaulgosar
@cnn
@tedlieu
@eugenegu
@willchamberlain
@andyostroy
@ap
@elias_r6s

Top Replied-To in G4:
@stoolpresidente
@dsilver88
@mizithropita
@dolphins19845
@bdb822
@therealdirk45
@tohnjorts

Top Replied-To in G6:
@beerscouts
@stormisuponus
@no_silenced
@jaketapper
@4yrstoday
@swimmerbr78
@crampell
@politicussarah
@zones1969
@waltshaub

Top Replied-To in G7:
@siegetheday123
@spiroagnewghost
@privateeyespy

Top Replied-To in G8:
@cvpayne
@yossigestetner
@freezerohedge
@dbongino
@woman3290
@tlhuber
@cliffle84418948
@philos_engineer
@brithume
@cvsjr002

Top Replied-To in G9:
@adazzlinhaze
@innocentcitzen
@scottishfa
@cruel_jewels

Top Replied-To in G10:
@cloud1bk
@greggutfeld
@ronaldbrucebar3
@dapplegraypony
@wturner988
@ladypatriot54
@christopherhahn
@livepddave1

Top Mentioned
Top Mentioned in Entire Graph:
@realdonaldtrump
@deanomight1
@fizward
@aloverofblue
@potus
@rteradio1
@rtenews
@cdcgov
@elonmusk
@cnn

Top Mentioned in G1:
@bluelake1955
@up_agriculture
@tribunkaltim

Top Mentioned in G2:
@realdonaldtrump
@petersweden7
@jenniferatntd
@mercmint
@kthopkins
@drchris_hansen_
@billpresspod
@scmpnews
@janekin24
@rospay15

Top Mentioned in G3:
@realdonaldtrump
@potus
@cdcgov
@cnn
@msnbc
@dnc
@vp
@ap
@andyostroy
@piersmorgan

Top Mentioned in G4:
@stoolpresidente
@noahbroderick20
@chrismydizzle
@omarkelly
@aronpricepga
@dsilver88
@cdb224
@rkevinferguson9
@puntedface

Top Mentioned in G6:
@deanomight1
@jaketapper
@qtanon1
@snowbirdsix1000
@opefreedom
@sick_diablo
@theswhpodcast
@realdonaldtrump
@no_silenced
@stormisuponus

Top Mentioned in G7:
@charly_snarly
@gusavacalex

Top Mentioned in G8:
@aliceollstein
@donaldjtrumpjr
@chrisrbarron
@dbongino
@dmartosko
@gpingersoll
@rorynyc
@carolleonnig
@calebjhull
@cvpayne

Top Mentioned in G9:
@swanjooni
@baileebboat

Top Mentioned in G10:
@realdonaldtrump
@kaiaka
@libbycmason
@deanomight1
@greggutfeld
@christopherhahn
@scorpio4trump2
@3ngm1

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@rlthingy
@detikcom
@dichristine
@jurylady5
@kompascom
@republikaonline
@lifetechnology1
@marcodacostafx
@phildecarolis

Top Tweeters in G1:
@republikaonline
@lifetechnology1
@matiere
@wt_bengali
@thelivingheru
@jpnncom
@masqcrew
@trudeestweets
@ozelot94
@miss_candis

Top Tweeters in G2:
@twitkcg
@_dharam_vir
@princessbibirf_
@owlwoman911_
@connnutmeg
@sonialavera
@carolynyadayada
@heidiec5
@mrstone0856
@robertol04

Top Tweeters in G3:
@jurylady5
@jjauthor
@rvg1a
@huffpost
@patta47cake
@dcexaminer
@elgatoweebee
@foxnews
@meedgeknowsbest
@lindasuhler

Top Tweeters in G4:
@omarkelly
@commonguy123
@craigmaccormack
@portersumari
@dickinsonjc
@_dm43
@bdentrek
@jimwalker13
@loverboy12390
@cptcookswife

Top Tweeters in G5:
@jspandey_
@traveller_makk
@avinash_mailme
@muraliks_11
@saffronsangh
@akshaychandorka
@narendrapjoshi
@a31x64vijay
@mrkotians
@shaileshmishra

Top Tweeters in G6:
@lovecovfefe2020
@helloteamtrump
@votingred1
@craybo23
@vetapologist
@superyayadize
@consmover
@jamierodr14
@dianafry18
@beank511

Top Tweeters in G7:
@pparzival
@porridgeisgood
@johnjoechad
@mojos55
@positivelyjoan
@jocowboys87
@sergimagugliani
@ayshamoolla
@anthropocenuke0
@albet777

Top Tweeters in G8:
@marcodacostafx
@phildecarolis
@miltonespinozaf
@mooncindylu
@serafinos
@cheri_kentucky
@paynej247
@benignopf
@kyablochkin
@simplify77

Top Tweeters in G9:
@ed22311
@tatianealves
@_fairykaisoo
@carosmcgee
@rainberryjin
@loverglow13
@jikookjuseyo
@bxtchstagram
@thedrugchild
@djvinhas

Top Tweeters in G10:
@kathysamira
@janettxblessed
@vlovesanimals
@tigcook
@laylaalisha11
@omentando
@zeusfanhouse
@twittachicca
@nltcny
@fairyq15


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