The graph represents a network of 6,384 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 07:47 UTC.
The tweets in the network were tweeted over the 1975-day, 18-hour, 33-minute period from Wednesday, 18 October 2017 at 05:27 UTC to Friday, 17 March 2023 at 00:00 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 : 6384
Unique Edges : 3592
Edges With Duplicates : 11153
Total Edges : 14745
Number of Edge Types : 9
Retweet : 3661
MentionsInRetweet : 4853
Replies to : 1466
MentionsInReplyTo : 3171
Tweet : 1073
Mentions : 270
Quote : 131
MentionsInQuoteReply : 69
MentionsInQuote : 51
Self-Loops : 1253
Reciprocated Vertex Pair Ratio : 0.015406711058885
Reciprocated Edge Ratio : 0.0303458917320303
Connected Components : 1019
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 3258
Maximum Edges in a Connected Component : 9447
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.069351
Graph Density : 0.000190850972017228
Modularity : 0.518907
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,384 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 07:47 UTC.
The tweets in the network were tweeted over the 1975-day, 18-hour, 33-minute period from Wednesday, 18 October 2017 at 05:27 UTC to Friday, 17 March 2023 at 00:00 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:
[966] covid,19 [861] elonmusk,covid_clarity [469] identity,crisis [467] fed,propaganda [466] child,goes [466] goes,identity [466] adults,moreover [466] re,fed [466] crisis,before [466] covid_clarity,re Top Word Pairs in Tweet in G1:
[843] elonmusk,covid_clarity [463] identity,crisis [461] fed,propaganda [460] moreover,child [460] re,fed [460] crisis,before [460] propaganda,adults [460] child,goes [460] covid_clarity,re [460] adults,moreover Top Word Pairs in Tweet in G2:
[246] pharmaceutical,giant [246] suggesting,increased [246] giant,evidence [246] evidence,suggesting [240] increased,risk [237] documents,reveal [237] reveal,pharmaceutical [237] project_veritas,breaking [237] confidential,pfizer [237] breaking,confidential Top Word Pairs in Tweet in G3:
[241] emotions,felt [241] felt,during [238] two,years [197] various,emotions [193] 'face',#jimin [193] expressed,various [193] #jimin,honestly [193] during,two [193] news,album [193] album,'face' Top Word Pairs in Tweet in G4:
[78] covid,19 [32] 19,vaccines [26] covid,vaccine [25] mrna,covid [22] covid,vaccines [19] safety,profile [19] terrible,safety [18] florida,surgeon [18] joseph,ladapo [18] vaccines,terrible Top Word Pairs in Tweet in G5:
[68] covid,19 [10] long,covid [6] 19,pandemic [5] pandemia,covid [5] during,covid [4] following,covid [4] against,covid [4] contra,covid [3] tukang,jambret [3] year,average Top Word Pairs in Tweet in G6:
[187] covid,19 [65] 19,vaccines [53] digital,qr [53] certificate,paper [53] click,link [53] vaccines,covid [53] vaccine,click [53] card,boosters [53] exemption,letters [53] 19,digital Top Word Pairs in Tweet in G7:
[58] long,covid [16] covid,19 [15] hospital,acquired [15] acquired,covid [14] covid,linked [13] rates,long [13] heart,problems [13] problems,study [13] linked,higher [13] mortality,rates Top Word Pairs in Tweet in G8:
[77] flu,shot [75] covid,vaccine [74] stopped,taking [73] take,covid [72] vaccine,yearly [72] shot,exactly [72] exactly,stopped [72] evil,little [72] little,freak [72] yearly,along Top Word Pairs in Tweet in G9:
[26] well,damn [25] oneunderscore__,well [24] coronavirus,pandemic [24] breaking,three [24] three,years [24] years,coronavirus [24] researchers,found [23] pandemic,researchers [15] genetic,evidence [15] found,genetic Top Word Pairs in Tweet in G10:
[82] 200,million [82] ivermectin,effective [82] kennedy,jr [82] robert,kennedy [82] million,enterprise [82] fauci,admitted [82] admitted,hcq [82] jr,200 [82] ve,collapsed [82] enterprise,ve Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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: