The graph represents a network of 6,903 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 1056-day, 21-hour, 24-minute period from Friday, 10 April 2020 at 03:36 UTC to Friday, 03 March 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 : 6903
Unique Edges : 3549
Edges With Duplicates : 11180
Total Edges : 14729
Number of Edge Types : 9
Replies to : 1294
MentionsInReplyTo : 2880
Retweet : 3808
MentionsInRetweet : 4598
Tweet : 1463
Mentions : 433
Quote : 151
MentionsInQuote : 65
MentionsInQuoteReply : 37
Self-Loops : 1719
Reciprocated Vertex Pair Ratio : 0.0228997103048696
Reciprocated Edge Ratio : 0.0447741065407957
Connected Components : 1370
Single-Vertex Connected Components : 289
Maximum Vertices in a Connected Component : 2888
Maximum Edges in a Connected Component : 7641
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.475363
Graph Density : 0.000155631795195862
Modularity : 0.52324
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,903 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 1056-day, 21-hour, 24-minute period from Friday, 10 April 2020 at 03:36 UTC to Friday, 03 March 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:
[1033] covid,19 [218] perdeu,parente [218] causa,covid [217] covid,tem [217] tem,gente [217] acha,maior [217] gente,realmente [217] irrita,profundamente [217] isso,irrita [217] realmente,acha Top Word Pairs in Tweet in G1:
[55] died,covid [55] children,died [53] repmtg,laughing [53] laughed,children [52] unlike,laughed [52] laughing,unlike [51] meidastouch,repmtg [48] human,tragedy [48] write,covid [48] due,collusion Top Word Pairs in Tweet in G2:
[66] covid,19 [13] #noworldwar,#noworldwar [8] contra,covid [6] fort,detrick [6] during,covid [5] #covid,19 [5] lab,leak [5] covid,origins [4] #covid,#omicron [4] covid,jab Top Word Pairs in Tweet in G3:
[122] #covid,origins [70] gain,function [70] origins,lie [70] function,research [70] lie,#covid [70] research,lie [70] lie,gain [69] jim_jordan,lie [69] lie,natur [67] senate,unanimously Top Word Pairs in Tweet in G4:
[216] acha,maior [216] parente,causa [216] gente,realmente [216] profundamente,cara [216] isso,irrita [216] irrita,profundamente [216] tem,gente [216] covid,tem [216] cara,perdeu [216] realmente,acha Top Word Pairs in Tweet in G5:
[89] aids,covid [87] covid,death [87] death,shot [87] increase,aids [87] military,records [87] shot,rollout [87] 500,increase [87] appears,those [87] rollout,appears [87] records,500 Top Word Pairs in Tweet in G6:
[26] covid,helped [26] people,fact [26] fact,idiots [26] many,seemingly [26] see,many [26] helped,see [26] educated,people [26] seemingly,educated [25] drelidavid,covid [22] health,minister Top Word Pairs in Tweet in G7:
[39] long,covid [37] covid,19 [22] organ,damage [19] life,expectancy [15] covid,patients [13] weekly,update [12] covid,deaths [11] five,long [11] identified,organ [11] tracybethhoeg,latimes Top Word Pairs in Tweet in G8:
[68] não,podia [68] podia,falar [68] cloroquina,tratamento [68] tratamento,covid [68] bem,medicamento [68] só,jairbolsonaro [68] jairbolsonaro,não [68] covid,só [68] falar,bem [67] alertatotal,cloroquina Top Word Pairs in Tweet in G9:
[42] atensnut,breaking [35] bill,declassify [34] related,origins [34] origins,covid [31] senate,unanimously [30] unanimously,passes [30] passes,bill [29] breaking,senate [29] docs,related [29] declassify,docs Top Word Pairs in Tweet in G10:
[50] home,covid [50] learn,home [50] covid,teacher [50] children,learn [49] gitmo99,children [10] lockdowns,russian [10] sanctions,gun [10] list,useless [10] zones,border [10] russian,sanctions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: