The graph represents a network of 7,346 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 December 2022 at 20:59 UTC.
The requested start date was Friday, 09 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, 3-hour, 32-minute period from Tuesday, 06 December 2022 at 21:28 UTC to Friday, 09 December 2022 at 01:00 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
Vertices : 7346
Unique Edges : 10308
Edges With Duplicates : 16098
Total Edges : 26406
Number of Edge Types : 5
Replies to : 2013
Mentions : 6881
MentionsInRetweet : 12149
Retweet : 5303
Tweet : 60
Self-Loops : 87
Reciprocated Vertex Pair Ratio : 0.0122468486767429
Reciprocated Edge Ratio : 0.0241973559962229
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7346
Maximum Edges in a Connected Component : 26406
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.415765
Graph Density : 0.000314031503601892
Modularity : 0.373208
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,346 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 December 2022 at 20:59 UTC.
The requested start date was Friday, 09 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, 3-hour, 32-minute period from Tuesday, 06 December 2022 at 21:28 UTC to Friday, 09 December 2022 at 01:00 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 : @CDCgov OR @CDC_eHealth OR @CDCemergency
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[1876] pfizer,trials [1869] phone,calls [1867] admit,re [1867] cdcgov,lying [1867] re,wrong [1867] recorded,phone [1866] wherein,admit [1866] trials,recorded [1866] cdc,wherein [1866] called,cdcgov Top Word Pairs in Tweet in G1:
[663] cdcgov,recommending [655] never,stopped [635] recommending,masking [634] masking,again [634] shit,cdcgov [634] again,personally [634] personally,never [634] holy,shit [633] theangryepi,holy [306] wear,masks Top Word Pairs in Tweet in G2:
[1859] pfizer,trials [1852] phone,calls [1850] re,wrong [1850] recorded,phone [1850] admit,re [1849] called,cdcgov [1849] trials,recorded [1849] cdcgov,lying [1849] calls,cdc [1849] cdc,wherein Top Word Pairs in Tweet in G3:
[363] meekly,recommending [357] mask,wearing [356] reason,cdcgov [355] cdcgov,etc [355] lied,public [355] bc,lied [355] public,beginning [355] etc,meekly [355] claimed,covid [355] wearing,bc Top Word Pairs in Tweet in G4:
[57] today,covidoversight [57] covidoversight,released [57] interfered,cdcgov [57] released,report [57] #covid19,response [57] detailing,trump [57] cdcgov,#covid19 [57] trump,admin [57] admin,interfered [57] report,detailing Top Word Pairs in Tweet in G5:
[109] vaccinated,boosted [108] bottom,line [108] boosted,bivalent [107] morning,bottom [107] thinking,morning [107] know,nytopinion [107] line,vaccinated [107] nytopinion,thinking [106] peterhotez,know [72] nytopinion,cdcgov Top Word Pairs in Tweet in G6:
[23] elonmusk,twittersupport [21] twittersupport,please [21] lapublichealth,official [21] please,fix [21] government,twitter [21] twitter,acct [21] acct,disabled [21] fix,lapublichealth [21] official,government [16] cdcgov,californiadep11 Top Word Pairs in Tweet in G7:
[14] cagovernor,cal_oes [11] cal_oes,cdcgov [8] recorded,fewer [8] despite,#flu [8] flu,positivity [8] 25,americans [8] americans,vaccinated [8] #flu,vaccine [8] highest,recorded [8] vaccinated,despite Top Word Pairs in Tweet in G8:
[19] us_fda,cdcgov [17] denise,cardo [17] dr,denise [17] usarmy,us_fda [17] dukeu,usarmy [14] health,equity [10] cardo,delivering [10] globally,globalhealthorg [10] cdcgov's,dr [10] lecture,addressing Top Word Pairs in Tweet in G9:
[7] children,hospitalized [7] #nationalinfluenzavaccinationweek,help [7] help,reduce [7] hospitalized,flu [7] thousands,children [7] year,thousands [7] flu,#nationalinfluenzavaccinationweek [6] cdcgov,vaccinefinder [6] reduce,ch [6] usedgov,year Top Word Pairs in Tweet in G10:
[2] glenburns3,boris4t [2] _desi76_,keira_connolly1 [2] mommaswain1,_desi76_ [2] wadiamondbk,jaggeraus [2] boris4t,imforthewhales [2] jaggeraus,mommaswain1 [2] keira_connolly1,glenburns3 [2] mariamagdalenj,wadiamondbk Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: