The graph represents a network of 6,304 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 March 2022 at 09:48 UTC.
The requested start date was Wednesday, 30 March 2022 at 00:01 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 12-day, 10-hour, 26-minute period from Thursday, 17 March 2022 at 13:34 UTC to Wednesday, 30 March 2022 at 00:01 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 : 6304
Unique Edges : 3566
Edges With Duplicates : 11105
Total Edges : 14671
Number of Edge Types : 5
Tweet : 2276
Retweet : 4504
MentionsInRetweet : 5888
Mentions : 1530
Replies to : 473
Self-Loops : 2386
Reciprocated Vertex Pair Ratio : 0.0124015173621243
Reciprocated Edge Ratio : 0.0244992073785848
Connected Components : 1168
Single-Vertex Connected Components : 698
Maximum Vertices in a Connected Component : 2587
Maximum Edges in a Connected Component : 7223
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.196015
Graph Density : 0.000174635839351336
Modularity : 0.489398
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,304 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 March 2022 at 09:48 UTC.
The requested start date was Wednesday, 30 March 2022 at 00:01 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 12-day, 10-hour, 26-minute period from Thursday, 17 March 2022 at 13:34 UTC to Wednesday, 30 March 2022 at 00:01 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 : #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:
[598] public,health [580] world,still [579] still,mandating [578] canada,country [578] country,world [578] mandating,inoculation [578] inoculation,plane [578] plane,train [578] train,travel [578] travel,public Top Word Pairs in Tweet in G1:
[113] #cdc,#cdc7words [113] #cdc7words,#bannedwords [113] #bannedwords,#orwell [113] #orwell,#doubleplusgoodspeak [113] #doubleplusgoodspeak,#maga [113] #maga,#trumphasdementia [46] covid,19 [31] based,#cdc [22] #fda,#cdc [22] #covid19,#cdc Top Word Pairs in Tweet in G2:
[573] canada,country [573] country,world [573] world,still [573] still,mandating [573] mandating,inoculation [573] inoculation,plane [573] plane,train [573] train,travel [573] travel,public [573] public,health Top Word Pairs in Tweet in G3:
[63] cdcgov,#cdc [49] #cdc,study [48] study,shows [48] shows,#flu [48] #flu,#covid19 [48] #covid19,both [48] both,cause [48] cause,serious [48] serious,illnesses [48] illnesses,lead Top Word Pairs in Tweet in G4:
[84] #cro,#crofam [78] fan,art [70] mad,hare [66] #cro,#fftb [65] cryptocom,cryptocomnft [64] loadedlions_cdc,cryptocom [57] hope,fan [52] #nft,#cdc [52] wwwishing,#crofam [51] cryptocomnft,#nft Top Word Pairs in Tweet in G5:
[107] quiconque,connaît [107] connaît,données [107] données,#pfizer [107] #pfizer,ses [107] ses,essais [107] essais,frauduleux [107] frauduleux,sait [107] sait,qu'ils [107] qu'ils,s'attendaient [107] s'attendaient,blessures Top Word Pairs in Tweet in G6:
[122] チップ,ロイ議員 [122] ロイ議員,必ずアンソニー [122] 必ずアンソニー,ファウチに彼の罪を償わせる [122] #アンソニー,ファウチ [113] ファウチに彼の罪を償わせる,#アンソニー [113] ファウチ,#cdc [113] #cdc,#人道に対する罪 [111] ファイザー,fda [111] fda,cdc [111] cdc,不正な利益チェーンを構成 Top Word Pairs in Tweet in G7:
[212] patolog,dr [212] dr,ryan [212] ryan,cole [212] cole,opowiada [212] opowiada,co [212] co,znajduje [212] znajduje,podczas [212] podczas,przeprowadzania [212] przeprowadzania,sekcji [212] sekcji,zwłok Top Word Pairs in Tweet in G8:
[174] 我正在看着看着你,目不转睛 [174] 目不转睛,welcome [174] welcome,pandaverse [174] pandaverse,wang [174] wang,yitai [174] yitai,王以太 [174] 王以太,wl [174] wl,giveaway [174] giveaway,collab [174] collab,follow Top Word Pairs in Tweet in G9:
[43] #pandemic,#endemic [39] strategic,implications [39] implications,basic [39] basic,facts [39] facts,cdc [39] cdc,#cdc [39] #cdc,#pandemic [39] #endemic,gt [29] #cdc,#fda [24] #peertube,clip Top Word Pairs in Tweet in G10:
[65] #lymedisease,patients [37] ajackso63831215,#lymedisease [31] #cdc,#nih [23] #cdc,rep [22] #nih,#hhs [19] patients,notice [19] notice,#tbdwg [19] #tbdwg,feds [19] feds,saying [19] saying,things Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: