The graph represents a network of 5,412 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 20:59 UTC.
The tweets in the network were tweeted over the 2272-day, 6-hour, 25-minute period from Sunday, 27 November 2016 at 18:34 UTC to Friday, 17 February 2023 at 01:00 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 : 5412
Unique Edges : 7499
Edges With Duplicates : 14729
Total Edges : 22228
Number of Edge Types : 9
Retweet : 2695
MentionsInRetweet : 6973
Mentions : 1455
MentionsInReplyTo : 6982
Replies to : 2051
MentionsInQuote : 1150
Quote : 318
MentionsInQuoteReply : 343
Tweet : 261
Self-Loops : 574
Reciprocated Vertex Pair Ratio : 0.0126157777068029
Reciprocated Edge Ratio : 0.0249172054880934
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5411
Maximum Edges in a Connected Component : 22227
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.663182
Graph Density : 0.000433064343076018
Modularity : 0.380928
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,412 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 20:59 UTC.
The tweets in the network were tweeted over the 2272-day, 6-hour, 25-minute period from Sunday, 27 November 2016 at 18:34 UTC to Friday, 17 February 2023 at 01:00 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:
[532] cdcgov,cdcdirector [357] listeria,outbreak [322] covid,19 [299] cdcgov,cdcemergency [262] 2021,cdcgov [250] 5x,more [249] more,protected [248] protected,covid [248] meme,claiming [248] cdcdirector,published Top Word Pairs in Tweet in G1:
[346] listeria,outbreak [261] covid,19 [174] cdcgov,listeria [173] recent,illnesses [173] investigating,listeria [173] cdc,investigating [173] source,outbreak [173] outbreak,several [173] illnesses,source [173] several,recent Top Word Pairs in Tweet in G2:
[63] cdcgov,pfizer [56] cdcgov,potus [55] cdcgov,continue [54] onto,lie [54] continue,hold [54] harmful,long [54] masks,harmful [54] known,cdcgov [54] wearing,masks [54] hold,onto Top Word Pairs in Tweet in G3:
[438] cdcgov,cdcdirector [244] 5x,more [243] october,2021 [243] more,protected [243] meme,claiming [243] vaccinated,5x [243] protected,covid [243] 2021,cdcgov [243] published,meme [243] claiming,vaccinated Top Word Pairs in Tweet in G4:
[290] cdcgov,cdcemergency [210] 2021,early [210] cdcemergency,pulled [210] myocarditis,cases [210] early,myocarditis [210] reported,cdcgov [210] cases,reported [210] pulled,market [209] market,#courage [209] p_mcculloughmd,2021 Top Word Pairs in Tweet in G5:
[78] damning,early [78] reputable,institutions [78] reports,vaccine [78] vaccine,myocarditis [78] numerous,reports [78] receiving,numerous [78] myocarditis,reputable [78] early,cdcgov [78] cdcgov,receiving [77] rfsquared,damning Top Word Pairs in Tweet in G6:
[109] us_fda,cdcgov [109] govrondesantis,flsurgeongen [65] flsurgeongen,better [62] provide,govrondesantis [62] hope,us_fda [62] sure,hope [62] cdcgov,provide [62] response,provided [62] better,response [61] senronjohnson,sure Top Word Pairs in Tweet in G7:
[10] potus,cdcgov [10] cdcgov,deahq [8] deptvetaffairs,cdcdirector [8] deahq,deptvetaffairs [5] #painpatients,oding [5] #opioids,those [5] #fakefentanyl,combos [5] flat,#painpatients [5] those,buying [5] rx,#opioids Top Word Pairs in Tweet in G8:
[9] danametcalfe5,cdcgov [9] mark_gradwell,danametcalfe5 [9] cdcgov,sstsundhed [7] birgittebaad,mark_gradwell [4] elonmusk,ucsf [4] bob_wachter,florian_krammer [4] ucsf,bob_wachter [4] turtlecrone,elonmusk [4] paulsummergrad,unc [4] apapsychiatric,paulsummergrad Top Word Pairs in Tweet in G9:
[19] proud_2b_blue,spiralwrap [18] bbutcherx4,proud_2b_blue [18] sundog723,poguemoran [18] spiralwrap,sasquatch4eva [18] philippower13,sundog723 [18] julie_nonumbers,philippower13 [18] poguemoran,bbutcherx4 [15] ever_texas4,julie_nonumbers [13] rosegar17673310,emkulick [13] eppssupport,billparanoia Top Word Pairs in Tweet in G10:
[81] cathymcmorris,cdcgov [53] teachers,unions [52] cdcgov,influenced [51] closed,used [51] studies,justify [51] unreliable,studies [51] influenced,teachers [51] used,unreliable [51] unions,keep [51] schools,closed 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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: