The graph represents a network of 6,881 Twitter users whose recent tweets contained "COVID", 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 09:36 UTC.
The tweets in the network were tweeted over the 725-day, 2-hour, 19-minute period from Wednesday, 13 January 2021 at 22:41 UTC to Monday, 09 January 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 : 6881
Unique Edges : 3495
Edges With Duplicates : 11399
Total Edges : 14894
Number of Edge Types : 9
MentionsInReplyTo : 3287
Replies to : 1392
Retweet : 3720
MentionsInRetweet : 4278
Tweet : 1596
Mentions : 366
Quote : 157
MentionsInQuoteReply : 36
MentionsInQuote : 62
Self-Loops : 1887
Reciprocated Vertex Pair Ratio : 0.0245216158752658
Reciprocated Edge Ratio : 0.0478693967902601
Connected Components : 1346
Single-Vertex Connected Components : 343
Maximum Vertices in a Connected Component : 3089
Maximum Edges in a Connected Component : 7794
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 9.306347
Graph Density : 0.000152678592551786
Modularity : 0.507919
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,881 Twitter users whose recent tweets contained "COVID", 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 09:36 UTC.
The tweets in the network were tweeted over the 725-day, 2-hour, 19-minute period from Wednesday, 13 January 2021 at 22:41 UTC to Monday, 09 January 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 : COVID
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:
[1221] covid,19 [293] covid,vaccines [196] covid,vaccine [162] long,covid [145] before,covid [115] die,covid [112] contra,covid [109] triple,vaccinated [109] using,ivermectin [107] stop,using Top Word Pairs in Tweet in G1:
[71] covid,19 [11] covid,vaccine [8] sars,cov [7] covid,test [7] covid,vaccines [5] foreign,covid [5] united,states [5] national,pride [5] pride,prevents [5] accepting,foreign Top Word Pairs in Tweet in G2:
[115] covid,19 [99] before,covid [91] more,boosters [91] 19,know [91] die,covid [91] vaccinated,die [91] know,more [91] triple,vaccinated [91] boosters,more [90] drloupis,triple Top Word Pairs in Tweet in G3:
[49] government,telling [49] jabs,government [49] extremely,wrong' [49] wrong',pediatrician [49] pediatrician,sounds [49] sounds,alarm [49] alarm,covid [49] covid,jabs [48] vigilantfox,'something [48] 'something,extremely Top Word Pairs in Tweet in G4:
[43] covid,vaccine [36] covid,19 [22] side,effects [20] public,health [20] getting,covid [20] icu,admissions [20] related,hospitalizations [20] breaking,bombshell [20] health,data [20] hospitalizations,icu Top Word Pairs in Tweet in G5:
[27] covid,19 [21] fortune,days [21] days,helpful [21] anything,fortune [21] implied,concession [21] notice,implied [21] helpful,notice [21] hesitate,anything [21] concession,jabs [20] rwmalonemd,hesitate Top Word Pairs in Tweet in G6:
[76] long,covid [15] living,long [13] powerful,video [13] experience,living [13] please,watch [13] senator,tim [13] personal,experience [13] watch,senator [13] video,personal [13] kaine's,powerful Top Word Pairs in Tweet in G7:
[72] ivermectin,covid [72] using,ivermectin [71] government,stop [71] stop,using [71] lovillajavea,government [31] covid,vaccines [29] day,2023 [29] called,schools [29] kids,covid [29] forcing,young Top Word Pairs in Tweet in G8:
[32] over,65 [32] people,over [32] 65,gotten [32] 500,americans [32] 38,people [32] covid,18 [32] 18,adults [32] gotten,bivalent [32] adults,38 [32] dying,day Top Word Pairs in Tweet in G9:
[52] newly,released [45] white,house [42] released,documents [42] major,role [42] played,major [42] documents,show [41] social,media [38] censoring,americans [38] role,censoring [38] americans,social Top Word Pairs in Tweet in G10:
[8] covid,19 [7] nychealthy,intentionally [7] playing,games [7] sars,mers [7] wastewater,data [7] intentionally,downplaying [7] being,coy [7] coy,telling [7] downplaying,high [7] nature,playing Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: