The graph represents a network of 5,562 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 19:57 UTC.
The tweets in the network were tweeted over the 2676-day, 3-hour, 5-minute period from Tuesday, 17 November 2015 at 20:55 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5562
Unique Edges : 9734
Edges With Duplicates : 15987
Total Edges : 25721
Number of Edge Types : 9
Retweet : 3268
MentionsInRetweet : 10087
MentionsInReplyTo : 7097
Replies to : 1575
Mentions : 1154
Quote : 207
MentionsInQuote : 763
Tweet : 175
MentionsInQuoteReply : 1395
Self-Loops : 508
Reciprocated Vertex Pair Ratio : 0.00808445246208325
Reciprocated Edge Ratio : 0.0160392364793213
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 5557
Maximum Edges in a Connected Component : 25717
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.737156
Graph Density : 0.000487806739039754
Modularity : 0.403695
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,562 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 19:57 UTC.
The tweets in the network were tweeted over the 2676-day, 3-hour, 5-minute period from Tuesday, 17 November 2015 at 20:55 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[579] cdcgov,everything [577] straight,years [577] thanks,clearing [577] everything,three [577] everything,mean [577] three,straight [577] mean,everything [577] clearing,cdcgov [576] alexberenson,thanks [576] years,po Top Word Pairs in Tweet in G1:
[561] cdcgov,everything [560] thanks,clearing [560] three,straight [560] straight,years [560] mean,everything [560] everything,three [560] clearing,cdcgov [560] everything,mean [559] alexberenson,thanks [559] years,po Top Word Pairs in Tweet in G2:
[479] us_fda,cdcgov [462] pfizer,moderna_tx [284] cdcgov,hhsgov [278] fbi,cia [277] cia,pfizer [277] potus,deptofdefense [277] deptofdefense,fbi [277] hhsgov,potus [263] dr,risch [263] #covidvaccine,promoters Top Word Pairs in Tweet in G3:
[50] cdcgov,cdcdirector [45] potus,secbecerra [43] cdcdirector,secmayorkas [43] secbecerra,cdcdirector [39] secmayorkas,mandate [39] one,unless [39] unless,potus [39] mandate,countries [38] booboo_gh,one [38] countries,citiz Top Word Pairs in Tweet in G4:
[228] aclu,cnn [219] leorsapir,aclu [161] aclu,aclu [161] cnn,direct [161] based,protocols [161] cnn,cnn [161] violation,recognized [161] recognized,research [161] research,based [161] protocols,talk Top Word Pairs in Tweet in G5:
[61] #longcovidawarenessday,#longcovid [59] self,worth [59] away,self [59] later,still [59] #longcovid,taken [59] identity,years [59] worth,identity [59] years,later [59] today,#longcovidawarenessday [59] taken,away Top Word Pairs in Tweet in G6:
[41] landscape,globally [41] treatment,efforts [41] efforts,transformed [41] report,shows [35] hiv,treatment [34] shows,pepfar [34] pepfar,treatment [33] globally,under [28] cdcgov,percentage [28] percentage,people Top Word Pairs in Tweet in G7:
[11] dress,layers [10] exposure,#chemicalweapons [8] ignore,results [8] collecting,supplies [8] preparedness,isn [8] santamonicapd,lapublichealth [8] cdcgov,ignore [8] lapublichealth,cdcgov [8] isn,collecting [8] level,personal Top Word Pairs in Tweet in G8:
[36] cbcnews,globalnews [36] leonaalleslev,davidlametti [36] vassykapelos,cbcnews [36] mercedesglobal,kateygoalie [36] kady,leonaalleslev [36] davidlametti,ctvnews [36] globalnews,robertfife [36] robertfife,mercedesglobal [36] ctvnews,vassykapelos [33] puglaas,justintrudeau Top Word Pairs in Tweet in G9:
[18] molegdems,mosendems [9] hawleymo,realdonaldtrump [9] markpedroli,mizzoulaw [9] rayhartmann,davegragg [9] kcstar,parock [9] molawyersmedia,kgilsinan [9] mizzoulaw,molegdems [9] pdbeth,nettaaaaaaaa [9] chuckhatfield,s_webber [9] maddow,tishaura Top Word Pairs in Tweet in G10:
[28] cdcdirector,cdcgov [19] chattyknana,cdcdirector [17] mostly,awake [16] colonoscopy,mostly [16] heard,nurse [16] know,guidelines [16] last,colonoscopy [16] awake,heard [16] tell,doctor [16] doctor,know Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: