The graph represents a network of 6,601 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 1038-day, 4-hour, 56-minute period from Tuesday, 07 April 2020 at 20:04 UTC to Friday, 10 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 : 6601
Unique Edges : 3452
Edges With Duplicates : 10643
Total Edges : 14095
Number of Edge Types : 9
Tweet : 1344
Replies to : 1266
MentionsInReplyTo : 2313
Retweet : 3792
MentionsInRetweet : 4572
MentionsInQuoteReply : 37
Quote : 171
Mentions : 544
MentionsInQuote : 56
Self-Loops : 1617
Reciprocated Vertex Pair Ratio : 0.0235512417927491
Reciprocated Edge Ratio : 0.0460186863756798
Connected Components : 1258
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 2910
Maximum Edges in a Connected Component : 7318
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.858191
Graph Density : 0.000164598568628261
Modularity : 0.523556
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,601 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 1038-day, 4-hour, 56-minute period from Tuesday, 07 April 2020 at 20:04 UTC to Friday, 10 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:
[1198] covid,19 [243] covid,vaccine [221] contra,covid [205] 19,debemos [127] debemos,seguir [124] conscientes,salir [124] seguir,siendo [124] siendo,conscientes [124] venezuela,luchado [124] luchado,contra Top Word Pairs in Tweet in G1:
[95] swiss,president [60] convening,war [60] crime,tribunals [60] war,crime [60] pfizer,contracts [60] thailand,convening [60] tribunals,nullify [60] nullify,pfizer [59] begun,thailand [59] breaking,begun Top Word Pairs in Tweet in G2:
[104] covid,19 [15] booster,dan [15] protokol,kesehatan [15] virus,covid [13] covid,vaccine [9] dan,patuhi [9] cegah,penyebaran [9] vaksin,booster [9] patuhi,protokol [9] penyebaran,virus Top Word Pairs in Tweet in G3:
[47] covid,19 [43] harvard,stanford [40] stanford,mds [39] exec,explains [39] medical,training [39] twitter,exec [39] qualified,censor [39] mds,questioned [39] training,qualified [39] explains,medical Top Word Pairs in Tweet in G4:
[60] connection,between [41] brilliant,segment [40] between,catching [40] direct,connection [40] todayshow,direct [40] catching,covid [40] raised,risk [40] segment,todayshow [40] covid,raised [39] 1goodtern,brilliant Top Word Pairs in Tweet in G5:
[255] covid,19 [204] 19,debemos [166] contra,covid [124] siendo,conscientes [124] debemos,seguir [124] venezuela,luchado [124] seguir,siendo [124] luchado,contra [124] conscientes,salir [80] debemos,usar Top Word Pairs in Tweet in G6:
[42] senator,johnson [35] agencies,covering [35] suggests,fauci's [35] led,covid [35] federal,agencies [35] accuses,federal [35] covid,accuses [35] johnson,directly [35] funding,led [35] directly,suggests Top Word Pairs in Tweet in G7:
[40] never,forget [39] people's,sanity [39] covid,people's [39] sanity,_ [39] forget,covid [38] drelidavid,never [32] covid,vaccines [29] covid,itself [29] myocarditis,covid [27] myocarditis,right Top Word Pairs in Tweet in G8:
[31] covid,19 [14] 2023,02 [13] public,health [12] 2022,guidance [12] 25,2022 [12] masking,recommended [12] indoor,masking [12] guidance,universal [12] feb,25 [12] universal,indoor Top Word Pairs in Tweet in G9:
[31] during,covid [28] short,sinister [28] outrageous,corporate [28] censorship,truth [28] corporate,censorship [28] fatemperor,stunning [28] truth,during [28] stunning,short [28] sinister,outrageous [17] covid,shots Top Word Pairs in Tweet in G10:
[32] exchange,director [32] fauci,emails [32] happens,find [32] detailing,needs [32] emails,detailing [32] director,nih [32] find,fauci [32] nih,happens [31] kat_cammack,exchange [29] vaccine,mandate 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 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: