The graph represents a network of 6,345 Twitter users whose recent tweets contained "public health", 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1206-day, 5-hour, 9-minute period from Wednesday, 20 November 2019 at 19:51 UTC to Saturday, 11 March 2023 at 01:00 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 : 6345
Unique Edges : 2992
Edges With Duplicates : 9925
Total Edges : 12917
Number of Edge Types : 9
Retweet : 3965
MentionsInRetweet : 4792
Tweet : 769
Mentions : 492
Replies to : 896
MentionsInReplyTo : 1723
Quote : 124
MentionsInQuoteReply : 25
MentionsInQuote : 131
Self-Loops : 1138
Reciprocated Vertex Pair Ratio : 0.0199523525908279
Reciprocated Edge Ratio : 0.0391240875912409
Connected Components : 1006
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2412
Maximum Edges in a Connected Component : 5751
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.201298
Graph Density : 0.000170175004496595
Modularity : 0.540312
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,345 Twitter users whose recent tweets contained "public health", 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1206-day, 5-hour, 9-minute period from Wednesday, 20 November 2019 at 19:51 UTC to Saturday, 11 March 2023 at 01:00 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 : public health
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:
[2509] public,health [613] oxford,university [612] aniebo,umunze [612] augustine,aniebo [612] ifeyinwa,rhodes [612] umunze,anambra [612] anambra,state [612] rhodes,vivour [612] state,oxford [612] mr,augustine Top Word Pairs in Tweet in G1:
[606] phd,daughter [606] oxford,university [606] dr,ifeyinwa [606] vivour,phd [606] ifeyinwa,rhodes [606] anambra,state [606] umunze,anambra [606] daughter,mr [606] rhodes,vivour [606] augustine,aniebo Top Word Pairs in Tweet in G2:
[165] public,health [45] health,care [36] public,service [32] care,workers [30] covid,19 [29] service,staff [29] ends,mandatory [29] vaxx,policy [29] exception,health [29] mandatory,vaxx Top Word Pairs in Tweet in G3:
[251] entire,c0vid [251] know,nothing [251] c0vid,one [251] americans,know [251] clip,suspect [251] one,clip [251] public,health [251] majority,americans [251] nothing,public [251] suspect,majority Top Word Pairs in Tweet in G4:
[157] public,health [127] health,care [102] make,life [101] more,affordable [100] life,more [98] affordable,strengthen [81] good,jobs [76] create,good [74] care,system [70] working,make Top Word Pairs in Tweet in G5:
[181] apology,cochrane [181] #covid19,multilayered [181] alone,enough [181] cochrane,#masks [181] time,vaccines [181] prevent,#covid19 [181] #masks,time [181] enough,prevent [181] vaccines,alone [180] globalbiosec,apology Top Word Pairs in Tweet in G6:
[118] etc,ran [118] outlets,nyt [118] pieces,parroting [118] taylorlorenz,media [118] amplifying,disinformati [118] media,major [118] major,outlets [118] nyt,slate [118] parroting,amplifying [118] ran,pieces Top Word Pairs in Tweet in G7:
[94] public,health [50] unethical,breakdown [50] breakdown,public [50] biggest,tragic [50] tragic,unethical [42] covid,response [41] response,biggest [41] america's,covid [40] robertkennedyjr,america's [40] health,leadersh Top Word Pairs in Tweet in G8:
[108] public,health [66] health,transfers [66] transfers,provinces [64] fees,public [63] health,services [61] private,fees [60] charging,private [59] provinces,charging [58] feds,claw [58] updated,feds Top Word Pairs in Tweet in G9:
[106] went,party [106] masks,public [106] night,here's [106] wear,masks [106] reduced,#covid19 [106] risk,wear [106] party,last [106] last,night [106] here's,reduced [106] public,spaces Top Word Pairs in Tweet in G10:
[71] public,health [19] embrace,revisionist [19] covid,one [19] life,saving [19] increasing,embrace [19] reframes,life [19] revisionist,history [19] ignores,reframes [19] history,covid [19] saving,role Top Replied-To in Entire Graph:
Top Replied-To in G3:
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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:
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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: