The graph represents a network of 6,626 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 11:49 UTC.
The tweets in the network were tweeted over the 1086-day, 6-hour, 51-minute period from Sunday, 19 January 2020 at 18:08 UTC to Tuesday, 10 January 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 : 6626
Unique Edges : 3635
Edges With Duplicates : 10782
Total Edges : 14417
Number of Edge Types : 9
Retweet : 3885
MentionsInRetweet : 4684
Replies to : 1211
MentionsInReplyTo : 2674
Tweet : 1321
Quote : 115
Mentions : 436
MentionsInQuote : 46
MentionsInQuoteReply : 45
Self-Loops : 1567
Reciprocated Vertex Pair Ratio : 0.0201741052922482
Reciprocated Edge Ratio : 0.0395503182987945
Connected Components : 1192
Single-Vertex Connected Components : 303
Maximum Vertices in a Connected Component : 3173
Maximum Edges in a Connected Component : 8258
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 6.919452
Graph Density : 0.000168188212245642
Modularity : 0.516326
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,626 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 11:49 UTC.
The tweets in the network were tweeted over the 1086-day, 6-hour, 51-minute period from Sunday, 19 January 2020 at 18:08 UTC to Tuesday, 10 January 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:
[1077] covid,19 [388] covid,vaccine [377] board,member [339] pfizer,board [278] member,used [257] twitter,lobbyist [240] same,twitter [239] report,scottgottliebmd [239] used,same [239] top,pfizer Top Word Pairs in Tweet in G1:
[280] board,member [279] pfizer,board [241] twitter,lobbyist [231] member,used [229] report,scottgottliebmd [229] used,same [229] scottgottliebmd,top [229] same,twitter [229] first,#twitterfiles [229] top,pfizer Top Word Pairs in Tweet in G2:
[77] covid,19 [12] covid,vaccine [7] contra,covid [6] board,member [6] pfizer,board [6] 19,vaccine [5] twitter,files [5] questioning,covid [5] scott,gottlieb [4] china,covid Top Word Pairs in Tweet in G3:
[113] dr,fauci [73] covid,vaccines [59] covid,vaccine [57] people,vaccinated [56] vaccines,prevent [56] fauci,never [56] prevent,infection [56] infection,dr [56] never,covid [56] vaccinated,feel Top Word Pairs in Tweet in G4:
[179] conspiracy,theorist [179] heart,failure [179] covid,conspiracy [178] failure,conspiracy [178] vaccinated,heart [178] theorist,early [178] instead,getting [178] early,instead [178] getting,vaccinated [178] wish,covid Top Word Pairs in Tweet in G5:
[179] covid,19 [114] side,effects [111] 19,vaccine [107] big,pharma [106] known,potential [106] vaccine,side [106] pharma,long [106] long,known [106] potential,covid [87] effects,publicly Top Word Pairs in Tweet in G6:
[55] covid,19 [30] early,treatment [29] realized,early [29] fighting,corruption [29] treatment,against [29] science,years [29] corruption,science [29] starting,realized [29] years,starting [29] against,19 Top Word Pairs in Tweet in G7:
[52] covid,vaccine [32] twitter,censor [26] white,house [22] censor,journalists [22] covid,shot [22] opposed,covid [22] house,pushed [22] journalists,opposed [22] biden,white [22] pushed,twitter Top Word Pairs in Tweet in G8:
[42] long,covid [28] breenewsome,covid [24] breenewsome,long [23] pandemic,over [23] covid,government [23] over,over [23] over,failure [23] covid,covid [23] government,lied [23] reduce,transmission Top Word Pairs in Tweet in G9:
[64] covid,19 [52] old,elizabeth [52] #diedsuddenly,receiving [52] rose,ragonese [52] receiving,both [52] elizabeth,rose [52] both,covid [52] 19,flu [52] year,old [52] devastating,year Top Word Pairs in Tweet in G10:
[23] mike,yeadon [23] yeadon,amazing [23] apart,lies [23] amazing,forensically [23] video,dr [23] taking,apart [23] dr,mike [23] lies,told [23] forensically,taking [23] told,'pandemic' Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G10:
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: