The graph represents a network of 7,011 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, 29 December 2021 at 10:55 UTC.
The requested start date was Wednesday, 29 December 2021 at 01:01 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 8-day, 20-hour, 19-minute period from Monday, 20 December 2021 at 04:41 UTC to Wednesday, 29 December 2021 at 01:01 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 : 7011
Unique Edges : 4094
Edges With Duplicates : 9318
Total Edges : 13412
Number of Edge Types : 5
Tweet : 2784
Retweet : 3800
MentionsInRetweet : 4442
Mentions : 1743
Replies to : 643
Self-Loops : 2964
Reciprocated Vertex Pair Ratio : 0.0109677419354839
Reciprocated Edge Ratio : 0.0216975111678366
Connected Components : 1902
Single-Vertex Connected Components : 1275
Maximum Vertices in a Connected Component : 2400
Maximum Edges in a Connected Component : 5710
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.588883
Graph Density : 0.000127535474618955
Modularity : 0.510877
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,011 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, 29 December 2021 at 10:55 UTC.
The requested start date was Wednesday, 29 December 2021 at 01:01 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 8-day, 20-hour, 19-minute period from Monday, 20 December 2021 at 04:41 UTC to Wednesday, 29 December 2021 at 01:01 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:
[606] #cdc,sana [606] sana,sana [606] sana,colita [606] colita,rana [605] prof_nataliam,#cdc [276] covid,19 [169] breaking,#cdc [134] highest,day [131] stephanieinnes,#arizona [129] #fauci,#cdc Top Word Pairs in Tweet in G1:
[94] covid,19 [73] #cdc,#cdc7words [73] #cdc7words,#bannedwords [73] #bannedwords,#orwell [73] #orwell,#doubleplusgoodspeak [73] #doubleplusgoodspeak,#maga [73] #maga,#trumphasdementia [57] #cdc,#covid19 [45] 10,days [41] #covid19,#cdc Top Word Pairs in Tweet in G2:
[606] #cdc,sana [606] sana,sana [606] sana,colita [606] colita,rana [605] prof_nataliam,#cdc Top Word Pairs in Tweet in G3:
[78] #msnbc,#foxnews [77] #nytimes,#cnn [76] #politico,#huffpost [74] #foxnews,#nytimes [72] #cnn,#wsj [69] #wsj,#cnbc [69] #cnbc,#politico [67] #huffpost,#newsmax [65] #npr,#fox [64] #gop,#npr Top Word Pairs in Tweet in G4:
[16] #covid19,#cdc [15] #cdc,cdcgov [15] #cdc,#covid19 [14] cdcgov,cdcdirector [14] healthcare,workers [14] covid,19 [13] #cdc,reports [11] petermaer,#cdc [11] reports,more [11] more,000 Top Word Pairs in Tweet in G5:
[28] #chronicpain,patients [27] enjoying,#christmas [27] #christmas,year [27] year,know [27] know,millions [27] millions,#chronicpain [27] patients,struggling [27] struggling,smile [26] pffthlarthh,enjoying [26] smile,throug Top Word Pairs in Tweet in G6:
[132] highest,day [129] stephanieinnes,#arizona [117] #arizona,today [117] today,highest [117] day,#covid19 [117] #covid19,death [117] death,rate [117] rate,#cdc [117] #cdc,fourth [117] fourth,highest Top Word Pairs in Tweet in G7:
[101] breaking,#cdc [100] 31,december [100] verschil,tussen [99] #cdc,stopt [99] stopt,31 [99] december,2021 [99] 2021,met [99] met,pcr [99] pcr,test [99] test,omdat Top Word Pairs in Tweet in G8:
[14] ye,shall [14] shall,know [14] know,fruits [14] fruits,#cdc [14] #cdc,used [14] used,acronym [14] acronym,criminals [14] criminals,defend [14] defend,capitalism [13] davidnorthwsws,ye Top Word Pairs in Tweet in G9:
[55] dec,12th [55] 12th,dec [55] dec,18th [55] 18th,60 [55] 60,positive [55] positive,cases [55] cases,covid [55] covid,49 [55] 49,fully [55] fully,vaccinated Top Word Pairs in Tweet in G10:
[38] #facebook,meta [38] meta,bloccato [38] bloccato,pagina [38] pagina,24 [38] 24,ore [38] ore,perchè [38] perchè,questo [38] questo,sul [38] sul,#cdc [38] #cdc,pubblicato Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: