The graph represents a network of 6,117 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, 07 December 2022 at 11:02 UTC.
The requested start date was Wednesday, 07 December 2022 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 13-day, 4-hour, 11-minute period from Wednesday, 23 November 2022 at 20:48 UTC to Wednesday, 07 December 2022 at 00:59 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 : 6117
Unique Edges : 3158
Edges With Duplicates : 11167
Total Edges : 14325
Number of Edge Types : 5
Tweet : 2473
Retweet : 4484
MentionsInRetweet : 5671
Mentions : 1274
Replies to : 423
Self-Loops : 2607
Reciprocated Vertex Pair Ratio : 0.00675157280957496
Reciprocated Edge Ratio : 0.0134125895442768
Connected Components : 1144
Single-Vertex Connected Components : 758
Maximum Vertices in a Connected Component : 3638
Maximum Edges in a Connected Component : 9422
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.337487
Graph Density : 0.000175373544848637
Modularity : 0.468136
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,117 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, 07 December 2022 at 11:02 UTC.
The requested start date was Wednesday, 07 December 2022 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 13-day, 4-hour, 11-minute period from Wednesday, 23 November 2022 at 20:48 UTC to Wednesday, 07 December 2022 at 00:59 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:
[1340] #fda,#cdc [1214] #pfizer,#moderna [1170] #diedsuddenly,#diedsuddenlydocumentary [1160] #moderna,#fauciliedmillionsdied [1160] #diedsuddenlydocumentary,#pfizer [1160] #fauciliedmillionsdied,#fda [1149] feel,day [1149] day,#diedsuddenly [1145] #cdc,#bidenwor [1143] amfreedom12,feel Top Word Pairs in Tweet in G1:
[1076] #pfizer,#moderna [1075] #diedsuddenlydocumentary,#pfizer [1075] #moderna,#fauciliedmillionsdied [1075] #fda,#cdc [1075] feel,day [1075] #diedsuddenly,#diedsuddenlydocumentary [1075] day,#diedsuddenly [1075] #fauciliedmillionsdied,#fda [1074] amfreedom12,feel [1074] #cdc,#bidenwor Top Word Pairs in Tweet in G2:
[131] #cdc7words,#bannedwords [131] #doubleplusgoodspeak,#maga [131] #maga,#trumphasdementia [131] #bannedwords,#orwell [131] #cdc,#cdc7words [131] #orwell,#doubleplusgoodspeak [47] #fda,#cdc [46] based,#cdc [42] covid,19 [31] denunciation,ccp Top Word Pairs in Tweet in G3:
[29] pain,patients [26] #prop,#cdc [20] #cdc,#fda [18] #dea,#prop [16] #dea,#cdc [15] #cdc,data [14] hours,time [14] controlled,hours [14] time,#dea [14] #influenza,rise Top Word Pairs in Tweet in G4:
[211] #cdc,quietly [211] jimmyjoeyam,#cdc [197] #mrna,spike [197] injection,fact [197] protein,#covid19 [197] spike,protein [197] quietly,removed [197] removed,#mrna [197] #covid19,injection [197] fact,website Top Word Pairs in Tweet in G5:
[248] #billgates,#agenda2030 [248] #firefauci,#billgates [248] shit,#unvaccinated [248] sticking,shit [248] #unvaccinated,#firefauci [246] #event201,#plandemic [246] #agenda2030,#event201 [246] #plandemic,#letsgobrandon [245] giddyupmikey,sticking [17] #fda,#cdc Top Word Pairs in Tweet in G6:
[55] #cro,#crofam [44] #crofam,#cro [42] somewhere,merricans [42] read,somewhere [42] merricans,giving [42] nfts,#thanksgiving [42] #cro,spirit [42] away,nfts [42] #thanksgiving,#crofam [42] giving,away Top Word Pairs in Tweet in G7:
[39] unvaccinated,non [37] non,legal [37] legal,citizens [25] ban,unvaccinated [23] travel,ban [21] #cdc,#who [21] still,travel [20] separated,families [19] biden,still [19] citizens,separated Top Word Pairs in Tweet in G8:
[46] sophiadahl1,shabnampalesamo [46] returnofteresa,zelenkozev [46] barbarasghost1,johnnyvedmore [46] shabnampalesamo,bootonik [46] johnnyvedmore,michaelpbreton [46] bootonik,barbarasghost1 [46] michaelpbreton,returnofteresa [46] incrementallog1,sophiadahl1 [45] zelenkozev,cr [9] steeds,niet Top Word Pairs in Tweet in G9:
[88] vaccinate,altro [88] americani,covid [88] come,riporta [88] ad,agosto [88] washingtonpost,58 [88] agosto,erano [88] erano,persone [88] dei,decessi [88] decessi,americani [88] riporta,washingtonpost Top Word Pairs in Tweet in G10:
[60] #diedsuddenlydocumentary,#fauciliedmillionsdied [53] arrhythmic,death [53] syndrome,#sads [53] death,syndrome [53] sudden,arrhythmic [52] #cdc,#who [46] #thejab,#cdc [40] covid,vaccine [40] #fauciliedmillionsdied,#vaccine [39] confirms,118k Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: