The graph represents a network of 6,790 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 10:18 UTC.
The tweets in the network were tweeted over the 1069-day, 6-hour, 7-minute period from Friday, 03 April 2020 at 18:52 UTC to Thursday, 09 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 : 6790
Unique Edges : 3214
Edges With Duplicates : 10580
Total Edges : 13794
Number of Edge Types : 9
Retweet : 3769
MentionsInRetweet : 4361
Replies to : 1322
MentionsInReplyTo : 2295
Tweet : 1358
Quote : 121
Mentions : 417
MentionsInQuoteReply : 71
MentionsInQuote : 80
Self-Loops : 1629
Reciprocated Vertex Pair Ratio : 0.0235675357195463
Reciprocated Edge Ratio : 0.046049791336883
Connected Components : 1361
Single-Vertex Connected Components : 324
Maximum Vertices in a Connected Component : 3005
Maximum Edges in a Connected Component : 7313
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.641004
Graph Density : 0.000150746323375485
Modularity : 0.517636
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,790 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 10:18 UTC.
The tweets in the network were tweeted over the 1069-day, 6-hour, 7-minute period from Friday, 03 April 2020 at 18:52 UTC to Thursday, 09 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:
[1235] covid,19 [876] cdc,director [596] former,cdc [463] dr,fauci [353] robert,redfield [329] created,covid [310] american,tax [279] chinese,lab [269] tax,dollars [267] fauci,created Top Word Pairs in Tweet in G1:
[89] covid,19 [15] graphene,oxide [14] long,covid [12] 19,vaccines [8] lab,leak [7] akarnious,#covid [7] #uk,#usa [7] #ccpvirus,#covid [7] #vaccinesideeffects,#ivermectin [7] vaccines,contain Top Word Pairs in Tweet in G2:
[251] cdc,director [238] dr,fauci [236] chinese,lab [235] american,tax [235] fauci,created [235] created,covid [234] admitted,dr [234] covid,chinese [234] using,american [234] lab,using Top Word Pairs in Tweet in G3:
[210] cdc,director [209] former,cdc [194] director,tax [194] year,former [194] story,year [194] dollars,funded [194] tax,dollars [194] news,story [194] biggest,news [193] funded,crea Top Word Pairs in Tweet in G4:
[155] covid,19 [152] cdc,director [150] former,cdc [135] breaking,former [132] robert,redfield [125] gain,function [125] function,research [118] created,gain [88] director,robert [88] virus,created Top Word Pairs in Tweet in G5:
[84] covid,19 [37] cdc,director [25] origins,covid [24] covid,vaccine [24] ed,dowd [21] before,covid [21] vaccine,cards [20] registered,click [20] card,without [20] taking,vaccine Top Word Pairs in Tweet in G6:
[100] covid,19 [62] cdc,director [57] former,cdc [51] robert,redfield [49] origins,covid [47] dr,robert [44] director,dr [37] jim_jordan,fire [37] 19,former [37] hearing,congressman Top Word Pairs in Tweet in G7:
[48] covid,19 [48] origins,covid [46] anthony,fauci [46] dr,anthony [44] american,people [43] rips,dr [43] deceiving,american [43] fauci,deceiving [43] people,origins [43] jordan,rips Top Word Pairs in Tweet in G8:
[21] covid,19 [17] thing,keeping [17] keeping,novak [17] novak,djokovic [17] president,biden [17] participating,miami [17] open,tennis [17] tournament,president [17] tennis,tournament [17] djokovic,participating Top Word Pairs in Tweet in G9:
[23] massive,taibbi [23] taibbi,recruiting [23] developing,disinformation [23] #twitterfiles,massive [23] recruiting,retired [23] disinformation,industry [23] uncovered,#twitterfiles [23] industry,uncovered [22] paulsperry_,developing [22] retired,investigat Top Word Pairs in Tweet in G10:
[40] covid,19 [35] cdc,director [33] former,cdc [17] 19,virus [17] created,gain [17] robert,redfield [17] breaking,former [17] director,robert [17] virus,created [17] gain,function Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: