The graph represents a network of 6,507 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 09:01 UTC.
The tweets in the network were tweeted over the 3425-day, 6-hour, 44-minute period from Thursday, 17 October 2013 at 18:16 UTC to Sunday, 05 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 : 6507
Unique Edges : 3156
Edges With Duplicates : 11219
Total Edges : 14375
Number of Edge Types : 9
Retweet : 3902
MentionsInRetweet : 4710
Tweet : 1201
Replies to : 1278
MentionsInReplyTo : 2618
Mentions : 400
Quote : 109
MentionsInQuote : 105
MentionsInQuoteReply : 52
Self-Loops : 1466
Reciprocated Vertex Pair Ratio : 0.0228684359119142
Reciprocated Edge Ratio : 0.0447143251449075
Connected Components : 1105
Single-Vertex Connected Components : 253
Maximum Vertices in a Connected Component : 3335
Maximum Edges in a Connected Component : 8478
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.42507
Graph Density : 0.000171160467497204
Modularity : 0.506368
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,507 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 09:01 UTC.
The tweets in the network were tweeted over the 3425-day, 6-hour, 44-minute period from Thursday, 17 October 2013 at 18:16 UTC to Sunday, 05 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:
[694] covid,19 [649] matt,hancock [375] deploy,variant [340] health,minister [338] minister,matt [336] uk,health [335] leaked,messages [316] messages,show [314] variant,covid [313] hancock,planning Top Word Pairs in Tweet in G1:
[326] matt,hancock [298] leaked,messages [297] deploy,variant [297] health,minister [297] minister,matt [297] uk,health [279] variant,covid [278] show,uk [278] messages,show [278] planning,deploy Top Word Pairs in Tweet in G2:
[119] russell,brand [100] brand,calls [100] covid,example [100] outrageous,criticisms [100] hypocrisy,covid [100] ludicrous,outrageous [100] calls,msnbc's [100] criticisms,joe [100] msnbc's,hypocrisy [100] example,ludicrous Top Word Pairs in Tweet in G3:
[234] already,covid [233] denied,entry [233] djokovic,denied [233] entry,vaccinated [233] covid,science [233] vaccinated,already [198] breaking,djokovic [197] drelidavid,breaking [36] science,100 [36] novak,djokovic Top Word Pairs in Tweet in G4:
[176] matt,hancock [82] covid,variant [82] frighten,pants [80] variant,frighten [79] deploy,next [79] asked,government [79] breaking,matt [79] next,covid [79] government,deploy [79] hancock,asked Top Word Pairs in Tweet in G5:
[63] covid,19 [9] 19,pandemic [6] matt,hancock [6] syncytial,virus [6] respiratory,syncytial [5] covid,vaccine [4] person,event [4] event,zoom [4] first,person [4] long,covid Top Word Pairs in Tweet in G6:
[50] long,covid [26] covid,19 [15] covid,associated [13] attacks,strokes [13] heart,attacks [10] covid,died [10] bob_wachter,erictopol [10] people,long [9] risk,death [9] problems,study Top Word Pairs in Tweet in G7:
[59] covid,19 [29] 19,vaccine [26] covid,cult [24] everything,covid [24] wrong,everything [23] down,insanity [23] doubling,down [23] ve,proven [23] due,covid [23] proven,wrong Top Word Pairs in Tweet in G8:
[32] repay,back [24] american,people [24] pass,#covid [24] people,see [24] intelligence,american [24] #covid,origins [24] declassify,intelligence [24] bill,declassify [24] origins,bill [23] hawleymo,pass Top Word Pairs in Tweet in G9:
[110] frighten,pants [106] covid,telegraph [106] matt,hancock's [105] telegraph,disgust [105] everyone,covid [105] plan,frighten [105] disgust,gaslighting [105] pants,everyone [105] hancock's,plan [104] carolvorders,matt Top Word Pairs in Tweet in G10:
[32] covid,vaccine [30] parents,medicine [30] pfizer,covid [30] part,pfizer [30] vaccine,trial [30] year,old [30] 12,year [30] old,maddie [30] garay,excited [30] maddie,garay Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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