The graph represents a network of 5,360 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 20:58 UTC.
The tweets in the network were tweeted over the 2367-day, 11-hour, 31-minute period from Wednesday, 14 September 2016 at 13:29 UTC to Friday, 10 March 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 : 5360
Unique Edges : 7768
Edges With Duplicates : 18275
Total Edges : 26043
Number of Edge Types : 9
Retweet : 2688
MentionsInRetweet : 6908
Replies to : 2104
MentionsInReplyTo : 8753
Mentions : 1658
Tweet : 256
Quote : 351
MentionsInQuote : 1129
MentionsInQuoteReply : 2196
Self-Loops : 680
Reciprocated Vertex Pair Ratio : 0.0148873497333015
Reciprocated Edge Ratio : 0.0293379353624098
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5359
Maximum Edges in a Connected Component : 26043
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.871919
Graph Density : 0.000443806346138314
Modularity : 0.342014
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,360 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 20:58 UTC.
The tweets in the network were tweeted over the 2367-day, 11-hour, 31-minute period from Wednesday, 14 September 2016 at 13:29 UTC to Friday, 10 March 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:
[365] never,tested [362] bivalent,shot [361] much,less [361] human,trials [359] shot,never [359] less,babies [359] trials,much [359] toddlers,cdcgov [359] tested,human [359] babies,toddlers Top Word Pairs in Tweet in G1:
[103] public,health [91] cdcgov,cdc [84] covid,19 [74] drjbhattacharya,cdcgov [67] alexramage22,cdcgov [62] learn,more [61] lost,credibility [61] cdcgov,cdcmmwr [59] kendberrymd,cdcgov [59] cdcgov,lost Top Word Pairs in Tweet in G2:
[118] cdcgov,cdcdirector [116] potus,cdcgov [92] white,house [55] true,information [54] texaslindsay_,cdcgov [54] information,covid [54] censoring,true [48] booboo_gh,texaslindsay_ [47] cdcgov,potus [47] cdcgov,cdc Top Word Pairs in Tweet in G3:
[264] p_mcculloughmd,kanekoathegreat [254] moderation,requests [253] huge,direct [253] wonder,many [253] kanekoathegreat,wonder [253] mccullough,report [253] report,huge [253] many,moderation [253] requests,come [253] direct,following Top Word Pairs in Tweet in G4:
[348] never,tested [347] human,trials [346] toddlers,cdcgov [346] trials,much [346] babies,toddlers [346] bivalent,shot [346] pfizer,bivalent [346] less,babies [346] tested,human [346] much,less Top Word Pairs in Tweet in G5:
[23] cdcgov,govcanhealth [23] govcanhealth,vitalikbuterin [21] vitalikbuterin,doing [21] govts,billionaires [21] save,world [21] billionaires,cdcgov [21] doing,save [20] barryhunt008,govts [20] world,fr [17] severe,weather Top Word Pairs in Tweet in G6:
[29] cdcgov,us_fda [27] bird,flu [26] pandemic,bird [26] cdc,irony [26] risk,low [26] cdc,expert [26] #h5n1,pandemic [26] cdcgov,planning [26] flu,risk [26] again,cdc Top Word Pairs in Tweet in G7:
[97] robert,redfield [95] director,robert [94] indicates,outbreak [94] virologist,director [94] data,indicates [94] former,cdcgov [94] still,believe [94] believe,today [94] redfield,still [94] cdcgov,virologist Top Word Pairs in Tweet in G8:
[170] pfizer,cdcgov [55] alexnewman_jou,pfizer [37] cdcgov,sorry [30] sorry,loss [16] cdcgov,thank [12] cdcgov,yes [11] rlfarrow777,pfizer [8] predrag_nikolik,pfizer [8] sorry,hear [7] cdcgov,cdcdirector Top Word Pairs in Tweet in G9:
[28] molegdems,mosendems [14] jewelcommittee,lucaskuncemo [14] eric_schmitt,mogov [14] j_hancock,jacksuntrup [14] the_mip,hawleymo [14] mizzoulaw,molegdems [14] pdbeth,nettaaaaaaaa [14] lucaskuncemo,scottsifton [14] efmoriarty,the_mip [14] repcori,fema Top Word Pairs in Tweet in G10:
[7] covid,19 [7] #homeless,#shelter [6] east,palestine [6] westhab,inc [5] tonight,re [5] people,people [5] residents,invited [5] fema,cdcgov [5] resources,public [5] palestine,school 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: