The graph represents a network of 6,109 Twitter users whose recent tweets contained "COVID-19", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 08:05 UTC.
The tweets in the network were tweeted over the 1067-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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 : 6109
Unique Edges : 3093
Edges With Duplicates : 10211
Total Edges : 13304
Number of Edge Types : 9
Replies to : 1095
MentionsInReplyTo : 2027
Retweet : 3650
MentionsInRetweet : 4401
Tweet : 1353
Quote : 188
Mentions : 525
MentionsInQuote : 47
MentionsInQuoteReply : 18
Self-Loops : 1743
Reciprocated Vertex Pair Ratio : 0.0137204850031908
Reciprocated Edge Ratio : 0.0270695624803274
Connected Components : 1253
Single-Vertex Connected Components : 461
Maximum Vertices in a Connected Component : 1871
Maximum Edges in a Connected Component : 5089
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.934321
Graph Density : 0.000170285652171536
Modularity : 0.507731
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,109 Twitter users whose recent tweets contained "COVID-19", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 08:05 UTC.
The tweets in the network were tweeted over the 1067-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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-19
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:
[4177] covid,19 [388] 19,vaccines [256] 19,vaccine [226] vaccines,covid [218] click,link [218] 19,digital [217] digital,qr [217] qr,certificate [217] without,taking [217] taking,vaccine Top Word Pairs in Tweet in G1:
[413] covid,19 [27] 19,vaccine [25] contra,covid [22] 19,pandemic [13] origen,covid [13] vaccination,status [12] #covid,19 [12] raise,concerns [12] #covid19,#covid_19 [12] codes,covid Top Word Pairs in Tweet in G2:
[393] covid,19 [193] exemption,letters [193] vaccine,click [193] paper,card [193] taking,vaccine [193] 19,digital [193] 19,vaccines [193] boosters,exemption [193] qr,certificate [193] without,taking Top Word Pairs in Tweet in G3:
[162] covid,19 [68] 19,vaccines [62] big,pharma [61] blindly,push [61] vaccines,florida [61] florida,remains [61] mrna,covid [61] remains,dedicated [61] continue,blindly [61] administration,big Top Word Pairs in Tweet in G4:
[126] covid,19 [23] science,corruption [23] corruption,regulatory [23] rustyrockets,discuss [23] johnincarlisle,rustyrockets [23] evidence,science [23] discuss,importance [23] importance,evidence [22] robertkennedyjr,johnincarlisle [22] regulatory,agenc Top Word Pairs in Tweet in G5:
[164] covid,19 [155] vacina,covid [147] 19,acesso [147] privados,tomei [147] obrigatoriedade,comprovante [147] fim,obrigatoriedade [147] comprovante,vacina [147] públicos,privados [147] acesso,locais [147] sancionei,fim Top Word Pairs in Tweet in G6:
[112] covid,19 [36] effets,secondaires [32] vaccins,contre [32] reste,qu'à [32] dévoiler,reste [32] viennent,dévoiler [32] par,virus [32] assassins,planétaires [32] planétaires,par [32] contre,covid Top Word Pairs in Tweet in G7:
[67] heart,attacks [66] ages,25 [66] 25,44 [66] 30,compared [66] years,covid [66] people,ages [66] 44,increased [66] attacks,people [66] first,two [66] two,years Top Word Pairs in Tweet in G8:
[149] covid,19 [88] #sistemapatria,#carnetdelapatria [88] informe,covid [88] #atención,#sistemapatria [88] compartimos,informe [88] #carnetdelapatria,compartimos [79] carnetdlapatria,#atención [60] #14feb,bajemos [60] 19,#14feb [29] contra,covid Top Word Pairs in Tweet in G9:
[50] covid,19 [34] against,humanity [34] brutal,dictator [34] criminal,crime [34] dictator,ignoring [34] humanity,brutal [34] decisions,typical [34] evidence,decisions [34] science,evidence [34] crime,against Top Word Pairs in Tweet in G10:
[99] covid,19 [89] 19,vaccination [82] tgagovau,deliberately [82] result,covid [82] died,result [82] deliberately,hid [82] know,tgagovau [82] kids,died [82] aussie,kids [82] hid,deaths Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: