The graph represents a network of 4,298 Twitter users whose recent tweets contained "#CDC", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 10:00 UTC.
The tweets in the network were tweeted over the 3647-day, 10-hour, 34-minute period from Tuesday, 19 March 2013 at 13:04 UTC to Tuesday, 14 March 2023 at 23:39 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 : 4298
Unique Edges : 2394
Edges With Duplicates : 8687
Total Edges : 11081
Number of Edge Types : 9
Retweet : 3098
MentionsInRetweet : 4026
Tweet : 1487
Mentions : 609
Quote : 228
MentionsInReplyTo : 1036
Replies to : 528
MentionsInQuote : 66
MentionsInQuoteReply : 3
Self-Loops : 1793
Reciprocated Vertex Pair Ratio : 0.0123232323232323
Reciprocated Edge Ratio : 0.0243464378367591
Connected Components : 599
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 2743
Maximum Edges in a Connected Component : 7742
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 7.362737
Graph Density : 0.000271326765684241
Modularity : 0.464547
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,298 Twitter users whose recent tweets contained "#CDC", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 10:00 UTC.
The tweets in the network were tweeted over the 3647-day, 10-hour, 34-minute period from Tuesday, 19 March 2013 at 13:04 UTC to Tuesday, 14 March 2023 at 23:39 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 : #CDC
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:
[494] #fda,#cdc [425] #ccpvaccines,#ccpvirus [388] #cdc,#mrna [361] #ccpvirus,#covid [347] #ivermectin,#fda [346] #covid,#vaccinesideeffects [344] #vaccinesideeffects,#ivermectin [318] #mrna,#mega [279] covid,19 [276] #mega,#uk Top Word Pairs in Tweet in G1:
[165] covid,vaccine [164] data,clear [164] clear,overwhelming [164] vaccine,killed [164] thousands,within [164] killed,thousands [164] overwhelming,covid [160] within,first [160] first,48 [159] 48,hours Top Word Pairs in Tweet in G2:
[63] #fda,#cdc [56] #doubleplusgoodspeak,#maga [56] #cdc7words,#bannedwords [56] #cdc,#cdc7words [56] #bannedwords,#orwell [56] #maga,#trumphasdementia [56] #orwell,#doubleplusgoodspeak [51] #ccpvaccines,#ccpvirus [50] #cdc,#mrna [44] #ccpvirus,#covid Top Word Pairs in Tweet in G3:
[130] guadagno,funzione [130] funzione,probabilmente [118] sul,covid [117] forniti,dai [117] dai,più [117] dati,studi [117] covid,dati [117] epidemiologi,ma [117] dati,reali [117] censurato,dati Top Word Pairs in Tweet in G4:
[20] #wef,#cdc [19] vaccine,related [19] expect,die [19] #cdc,expect [19] members,#wef [19] spartajustice,many [19] related,injury [19] many,members [19] die,vaccine [18] paulinochahin,spartajustice Top Word Pairs in Tweet in G5:
[160] held,accountable [160] accountable,actions [160] actions,dr [160] make,pharma [160] pharma,held [160] malone,talks [160] talks,liability [160] dr,malone [159] liability,protecti [159] seaseabee,make Top Word Pairs in Tweet in G6:
[171] directeur,#cdc [171] #cdc,dr [157] #redfield,reconnu [157] l'audience,d'aujourd'hui [157] lors,l'audience [157] d'aujourd'hui,l'amérique [157] l'amérique,par [157] dr,#redfield [157] reconnu,lors [157] explosif,l'ancien Top Word Pairs in Tweet in G7:
[102] robert,redfield [102] dr,robert [82] told,lawmakers [82] dollars,funded [82] tax,dollars [82] lawmakers,tax [82] funded,risky [53] director,dr [53] #cdc,director [53] former,#cdc Top Word Pairs in Tweet in G8:
[89] buy,false [89] family,due [89] due,extreme [89] warning,ve [89] government,narrative [89] extreme,buy [89] false,government [89] friends,family [89] ve,alienated [89] alienated,friends Top Word Pairs in Tweet in G9:
[15] dawnimatrix,plwin49 [15] robertl91191102,spicypurritos [15] spicypurritos,dawnimatrix [15] plwin49,squireknut [15] squireknut,headdock [15] headdock,roguewolf2001 [13] #dea,#cdc [10] roguewolf2001,bobbikellogg [10] bobbikellogg,mediaclymer [9] #cdc,#prop Top Word Pairs in Tweet in G10:
[75] #covid,origins [75] #fauci,dod [75] #covid19,#fauci [75] #dod,rest [75] #wef,partners [75] manipulated,#dod [75] rest,#covid19 [75] origins,act [75] dod,#cdc [75] act,manipulated Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: