The graph represents a network of 6,598 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 09:35 UTC.
The tweets in the network were tweeted over the 990-day, 3-hour, 27-minute period from Thursday, 18 June 2020 at 21:33 UTC to Monday, 06 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 : 6598
Unique Edges : 3112
Edges With Duplicates : 11237
Total Edges : 14349
Number of Edge Types : 9
Tweet : 1348
Retweet : 3904
MentionsInRetweet : 4542
MentionsInReplyTo : 2586
Replies to : 1277
Mentions : 403
Quote : 129
MentionsInQuote : 113
MentionsInQuoteReply : 47
Self-Loops : 1617
Reciprocated Vertex Pair Ratio : 0.0203016241299304
Reciprocated Edge Ratio : 0.0397953382603752
Connected Components : 1190
Single-Vertex Connected Components : 231
Maximum Vertices in a Connected Component : 3174
Maximum Edges in a Connected Component : 8243
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.90243
Graph Density : 0.000161646771661713
Modularity : 0.504091
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,598 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 09:35 UTC.
The tweets in the network were tweeted over the 990-day, 3-hour, 27-minute period from Thursday, 18 June 2020 at 21:33 UTC to Monday, 06 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:
[833] covid,19 [249] covid,vaccine [202] lab,leak [187] matt,hancock [187] covid,vaccines [169] report,reveals [165] bombshell,report [162] prosecution,jail [162] threatened,prosecution [153] anthony,fauci Top Word Pairs in Tweet in G1:
[53] lab,leak [49] leak,theory [45] covid,19 [42] unexplained,deaths [41] dowdedward,one [41] narrative,collapsing [41] one,sources [41] coming,soon [41] story,coming [41] shift,story Top Word Pairs in Tweet in G2:
[86] ten,likes [86] news,probably [86] disappear,twitterhole [86] piece,news [86] huge,piece [86] likes,disappear [86] cow,huge [86] another,massive [86] massive,holy [86] probably,ten Top Word Pairs in Tweet in G3:
[59] covid,19 [9] long,covid [9] lab,leak [7] covid,vaccine [5] during,covid [5] covid,lab [5] 19,pandemic [5] covid,vaccines [4] risk,covid [4] perfect,enemy Top Word Pairs in Tweet in G4:
[138] leadingreport,breaking [131] being,sued [131] claims,covid [131] pfizer,being [131] false,claims [131] covid,vaccines [131] breaking,pfizer [131] alleged,false [131] 3t,alleged [131] sued,3t Top Word Pairs in Tweet in G5:
[128] prosecution,jail [128] threatened,prosecution [128] fauci,being [128] being,threatened [128] anthony,fauci [128] jail,time [128] time,bombshell [128] bombshell,report [128] report,reveals [127] reveals,misl Top Word Pairs in Tweet in G6:
[105] vaccine,found [102] scientist,created [102] first,covid [102] created,first [102] covid,vaccine [66] found,strangled [66] andrey,botikov [65] botikov,scientist [65] strangled,death [63] breaking,andrey Top Word Pairs in Tweet in G7:
[38] covid,originated [24] lab,leak [23] leak,theory [22] covid,criminal [20] trying,justify [20] covid,lab [19] criminal,negligence [19] housegop,marshablackburn [19] sad,senategop [19] originated,magas Top Word Pairs in Tweet in G8:
[28] denied,entry [28] djokovic,denied [26] entry,vaccinated [25] covid,science [25] already,covid [25] vaccinated,already [21] breaking,djokovic [20] drelidavid,breaking [18] covid,19 [16] russell,brand Top Word Pairs in Tweet in G9:
[31] matt,hancock [31] deploy,variant [30] minister,matt [30] health,minister [30] uk,health [29] hancock,planning [29] planning,deploy [29] show,uk [29] messages,show [29] variant,covid Top Word Pairs in Tweet in G10:
[23] frighten,pants [21] matt,hancock [15] pants,everyone [11] hancock's,plan [11] plan,frighten [11] disgust,gaslighting [11] everyone,covid [11] matt,hancock's [11] telegraph,disgust [11] covid,telegraph Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: