The graph represents a network of 7,419 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 April 2022 at 20:34 UTC.
The requested start date was Friday, 15 April 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 2-day, 7-hour, 13-minute period from Tuesday, 12 April 2022 at 16:47 UTC to Friday, 15 April 2022 at 00:00 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 : 7419
Unique Edges : 11117
Edges With Duplicates : 19207
Total Edges : 30324
Number of Edge Types : 5
Mentions : 11804
MentionsInRetweet : 11417
Retweet : 4561
Replies to : 2503
Tweet : 39
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.016485403548941
Reciprocated Edge Ratio : 0.0324360851447235
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7418
Maximum Edges in a Connected Component : 30323
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.614964
Graph Density : 0.000322672423965472
Modularity : 0.392962
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,419 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 April 2022 at 20:34 UTC.
The requested start date was Friday, 15 April 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 2-day, 7-hour, 13-minute period from Tuesday, 12 April 2022 at 16:47 UTC to Friday, 15 April 2022 at 00:00 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 : @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:
[857] mkibbe,cdcgov [816] masks,planes [815] never,never [814] cdcgov,authority [814] authority,mandate [814] mandate,masks [814] planes,never [787] cdcgov,randpaul [664] suing,cdcgov [664] members,congress Top Word Pairs in Tweet in G1:
[848] mkibbe,cdcgov [807] masks,planes [806] never,never [805] cdcgov,authority [805] authority,mandate [805] mandate,masks [805] planes,never [787] cdcgov,randpaul [663] members,congress [662] suing,cdcgov Top Word Pairs in Tweet in G2:
[244] cdcgov,us_fda [168] us_fda,cdcgov [162] cdcgov,cdcdirector [128] under,5s [116] cdcdirector,cdcgov [103] cdcgov,cdcmmwr [79] vaccinating,under [77] forget,vaccinating [77] 5s,cdcgov [76] drsandman11,forget Top Word Pairs in Tweet in G3:
[32] cdcgov,cdcemergency [32] cdcemergency,cdcglobal [26] cdcgov,nih [24] nih,cdcgov [20] come,cdcgov [20] cdcglobal,anything [20] anything,better [20] better,break [20] break,hearts [20] hearts,people Top Word Pairs in Tweet in G4:
[57] pcr,antibody [57] antibody,test [50] need,positive [50] positive,pcr [50] test,diagnosed [49] more,publicity [49] publicity,need [48] dianaberrent,more [48] diagnosed,#longco [45] gregggonsalves,surgeon_general Top Word Pairs in Tweet in G5:
[213] reminder,ignore [213] ignore,cdcgov [213] cdcgov,wear [213] good,mask [213] mask,indoors [213] indoors,around [213] around,members [213] direct,household [212] morning,reminder [212] wear,good Top Word Pairs in Tweet in G6:
[126] ashishkjha,ashishkjha46 [125] ashishkjha46,cdcgov [100] bob_wachter,ashishkjha [78] masks,airplanes [40] public,transport [39] ok,talk [39] talk,masks [39] airplanes,federal [39] federal,order [39] order,mandating Top Word Pairs in Tweet in G7:
[65] contrary,beliefs [65] beliefs,state's [65] state's,highest [65] highest,rates [65] rates,firearm [65] firearm,deaths [65] deaths,capita [65] capita,mostly [65] mostly,republican [65] republican,states Top Word Pairs in Tweet in G8:
[6] pandemic,challenging [6] challenging,everyone [6] everyone,don [6] don,forget [6] forget,focus [6] focus,self [6] self,care [6] care,mental [6] mental,physical [6] physical,health Top Word Pairs in Tweet in G9:
[35] holy,cow [35] cow,despite [35] despite,evidence [35] evidence,cdcgov [35] cdcgov,still [35] still,promoting [35] promoting,exceptionally [35] exceptionally,dangerous [35] dangerous,practice [35] practice,leaving Top Word Pairs in Tweet in G10:
[73] kellyesorelle,kissmyassdorsey [73] kissmyassdorsey,orhunter [73] orhunter,widowkhal [73] widowkhal,alionsr04r [73] alionsr04r,letitrain2021 [73] letitrain2021,patriotwyniv [73] patriotwyniv,sharinicole042 [73] sharinicole042,disclosetv [42] disclosetv,gobeavs90 [42] gobeavs90,conspiracyb0t 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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: