The graph represents a network of 6,706 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1062-day, 20-hour, 24-minute period from Thursday, 19 March 2020 at 04:36 UTC to Wednesday, 15 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 : 6706
Unique Edges : 3050
Edges With Duplicates : 11539
Total Edges : 14589
Number of Edge Types : 9
Retweet : 3788
MentionsInRetweet : 4413
Replies to : 1288
MentionsInReplyTo : 3141
Tweet : 1329
Mentions : 381
Quote : 149
MentionsInQuote : 78
MentionsInQuoteReply : 22
Self-Loops : 1650
Reciprocated Vertex Pair Ratio : 0.0208693149107657
Reciprocated Edge Ratio : 0.0408853799520654
Connected Components : 1311
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 2659
Maximum Edges in a Connected Component : 6556
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.743432
Graph Density : 0.000157749368213002
Modularity : 0.504135
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,706 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1062-day, 20-hour, 24-minute period from Thursday, 19 March 2020 at 04:36 UTC to Wednesday, 15 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
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:
[1089] covid,19 [359] covid,jab [285] aaron,duczak [279] hot,mic [278] duczak,caught [278] player,aaron [277] caught,hot [277] series,poker [277] world,series [277] poker,player Top Word Pairs in Tweet in G1:
[266] covid,jab [181] jab,fingerprints [181] refused,covid [181] teachers,refused [181] files,sent [181] personnel,files [181] breaking,york [181] sent,fbi [181] city,teachers [181] york,city Top Word Pairs in Tweet in G2:
[80] covid,19 [12] long,covid [9] covid,vaccines [8] covid,vaccine [7] 19,vaccine [6] #covid,19 [6] fort,detrick [6] covid,origins [5] health,emergency [5] pandemia,covid Top Word Pairs in Tweet in G3:
[109] cochrane,review [105] schools,light [105] masks,schools [105] revise,guidance [105] review,showing [105] asked,cdc [105] light,cochrane [105] cdc,revise [105] mandate,masks [105] guidance,mandate Top Word Pairs in Tweet in G4:
[58] covid,19 [29] diabetes,unvaxxed [29] unvaxxed,reality [29] reality,both [29] covid,increases [29] both,bioweapons [29] increases,risk [29] risk,diabetes [29] narrative,covid [28] realstewpeters,narrative Top Word Pairs in Tweet in G5:
[44] covid,19 [31] heart,attacks [29] each,infection [27] avoid,catching [27] catching,covid [26] years,finally [26] risk,took [26] took,years [26] covid,each [26] mainstream,media Top Word Pairs in Tweet in G6:
[143] covid,19 [140] caught,hot [140] world,series [140] player,aaron [140] aaron,duczak [140] duczak,caught [140] chest,pain [140] poker,player [140] hot,mic [140] pain,covid Top Word Pairs in Tweet in G7:
[17] thrilled,share [17] coauthored,amazing [17] putrinolab,need [17] amazing,putrinolab [17] covid,19 [17] thelancetinfdis,coauthored [17] comment,thelancetinfdis [17] share,comment [16] virusesimmunity,thrilled [11] long,covid Top Word Pairs in Tweet in G8:
[24] covid,19 [9] covid,origins [9] against,covid [7] heart,attack [6] higher,risk [6] many,times [6] risk,diabetes [5] increases,heart [5] steps,reduce [5] taking,steps Top Word Pairs in Tweet in G9:
[67] goddeketal,covid [65] covid,flu [64] flu,prove [64] prove,wrong [43] childhood,vaccine [43] backs,believe [43] absolute,scandal [43] scandal,added [43] behind,backs [43] shots,childhood Top Word Pairs in Tweet in G10:
[184] government,doctors [92] fine,same [92] claiming,air [92] same,kind [92] ohio,totally [92] kind,government [92] doctors,claiming [92] doctors,claimed [92] totally,fine [92] air,quality Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
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: