The graph represents a network of 5,455 Twitter users whose recent tweets contained "COVID-19", 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 08:15 UTC.
The tweets in the network were tweeted over the 990-day, 7-hour, 18-minute period from Wednesday, 20 May 2020 at 17:42 UTC to Sunday, 05 February 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 : 5455
Unique Edges : 1813
Edges With Duplicates : 10430
Total Edges : 12243
Number of Edge Types : 9
Retweet : 4250
MentionsInRetweet : 4679
Tweet : 871
Replies to : 753
MentionsInQuoteReply : 7
Quote : 88
MentionsInReplyTo : 1285
Mentions : 299
MentionsInQuote : 11
Self-Loops : 1077
Reciprocated Vertex Pair Ratio : 0.00734779566130161
Reciprocated Edge Ratio : 0.0145883987495658
Connected Components : 643
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 3696
Maximum Edges in a Connected Component : 8913
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.616068
Graph Density : 0.000193536004990661
Modularity : 0.46785
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,455 Twitter users whose recent tweets contained "COVID-19", 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 08:15 UTC.
The tweets in the network were tweeted over the 990-day, 7-hour, 18-minute period from Wednesday, 20 May 2020 at 17:42 UTC to Sunday, 05 February 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-19
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:
[4635] covid,19 [773] healthbyjames,breaking [566] 19,vaccines [479] risk,death [459] vitamin,cuts [448] 19,vaccine [378] study,finds [376] finds,isn [376] cuts,covid [376] death,half Top Word Pairs in Tweet in G1:
[1230] covid,19 [690] healthbyjames,breaking [326] study,finds [324] half,study [324] risk,death [324] 19,risk [324] death,half [324] vitamin,cuts [324] breaking,vitamin [324] cuts,covid Top Word Pairs in Tweet in G2:
[268] covid,19 [238] fauci,50 [238] fairly,certain [238] certain,see [238] adults,vaccinated [238] 19,surges [238] more,covid [238] anthony,fauci [238] see,more [238] 50,adults Top Word Pairs in Tweet in G3:
[178] covid,19 [17] 19,vaccine [17] 19,pandemic [11] vaccine,mandate [10] contra,covid [8] end,international [8] house,vote [8] bill,end [8] vote,bill [8] international,air Top Word Pairs in Tweet in G4:
[121] covid,19 [74] 19,vaccination [71] travel,restrictions [70] join,group [70] restrictions,join [70] vaccination,covid [70] covid,travel [34] vaccination,card [18] 19,vaccine [9] covid,restrictions Top Word Pairs in Tweet in G5:
[133] covid,19 [51] vaccin,covid [40] d'ouverture,enquête [40] demande,d'ouverture [32] nombre,croissant [32] disent,qu'ils [32] croissant,médecins [32] médecins,disent [30] feront,rappels [30] car,manque Top Word Pairs in Tweet in G6:
[130] covid,19 [72] breaking,pfizer [50] project_veritas,breaking [46] pfizer,director [42] over,women's [42] director,concerned [42] women's,reproductive [42] concerned,over [37] 19,virus [36] mutating,covid Top Word Pairs in Tweet in G7:
[157] covid,19 [70] 19,vaccination [67] guillain,barré [67] barré,syndrome [67] hundreds,cases [67] syndrome,covid [67] identified,295 [67] confirms,hundreds [67] study,confirms [67] vaccination,identified Top Word Pairs in Tweet in G8:
[144] covid,19 [87] risk,death [87] vitamin,cuts [76] 72,meta [76] icu,admission [76] meta,analysis [76] risk,icu [76] 19,51 [76] cuts,risk [76] 51,risk Top Word Pairs in Tweet in G9:
[72] covid,19 [70] heart,issues [70] baltner's,mother [70] daughter,story [70] yr,old [70] listen,daughter [70] died,heart [70] 14,yr [70] please,sarah [70] sarah,baltner's Top Word Pairs in Tweet in G10:
[140] covid,19 [69] 2020,before [45] 19,vaccine [41] 19,existed [41] comments,made [41] ceo,moderna [41] made,jan [41] uncomfortable,interview [41] jan,2020 [41] interview,reminded 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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: