The graph represents a network of 5,937 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 08:16 UTC.
The tweets in the network were tweeted over the 1064-day, 10-hour, 40-minute period from Saturday, 14 March 2020 at 14:20 UTC to Sunday, 12 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 : 5937
Unique Edges : 2425
Edges With Duplicates : 10912
Total Edges : 13337
Number of Edge Types : 9
Replies to : 1290
MentionsInReplyTo : 2040
Retweet : 3796
MentionsInRetweet : 4309
Tweet : 1156
Mentions : 470
MentionsInQuote : 53
Quote : 133
MentionsInQuoteReply : 90
Self-Loops : 1503
Reciprocated Vertex Pair Ratio : 0.0115755627009646
Reciprocated Edge Ratio : 0.0228862047043865
Connected Components : 965
Single-Vertex Connected Components : 315
Maximum Vertices in a Connected Component : 2916
Maximum Edges in a Connected Component : 7810
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.189212
Graph Density : 0.000178536810817265
Modularity : 0.483109
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,937 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 08:16 UTC.
The tweets in the network were tweeted over the 1064-day, 10-hour, 40-minute period from Saturday, 14 March 2020 at 14:20 UTC to Sunday, 12 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:
[4107] covid,19 [787] 19,vaccines [361] 19,vaccine [347] more,die [342] data,shows [339] 137x,more [339] c19,unvaxed [339] unvaxed,kids [339] uk,govt [339] boosted,kids Top Word Pairs in Tweet in G1:
[301] more,die [300] c19,unvaxed [300] figures,reveal [300] uk,govt [300] data,shows [300] govt,data [300] boosted,kids [300] kids,figures [300] unvaxed,kids [300] shows,c19 Top Word Pairs in Tweet in G2:
[288] covid,19 [22] 19,vaccine [14] 19,pandemic [14] 19,vaccines [10] vaksin,booster [10] 19,virus [8] extracts,two [7] 19,booster [7] #coronavirus,#covid19 [7] #covid,#covid19 Top Word Pairs in Tweet in G3:
[313] covid,19 [259] adds,covid [259] immunization,schedule [259] cdc,adds [256] 19,vaccines [248] wow,loss [248] pure,evil [248] vaccines,child [248] evil,cdc [248] words,pure Top Word Pairs in Tweet in G4:
[324] covid,19 [95] 19,vaccines [83] 19,vaccine [77] fleming,testifies [77] richard,fleming [77] dr,richard [77] vaccines,bioweapon [63] influenza,epidemics [63] invisible,rainbow [63] effects,electromagnetism Top Word Pairs in Tweet in G5:
[552] covid,19 [274] 19,vaccines [268] digital,qr [268] certificate,paper [268] click,link [268] vaccines,covid [268] vaccine,click [268] card,boosters [268] exemption,letters [268] 19,digital Top Word Pairs in Tweet in G6:
[148] covid,19 [63] airborne,transmission [61] rejected,lives [61] transmission,science [61] science,rejected [61] 19,airborne [61] lives,lost [59] article,pulls [59] lost,society [59] society,better Top Word Pairs in Tweet in G7:
[139] government,agencies [139] senators,considering [139] considering,blocking [139] blocking,schools [139] breaking,georgia [139] state,local [139] agencies,requiring [139] local,government [139] schools,state [139] georgia,senators Top Word Pairs in Tweet in G8:
[100] covid,19 [29] adds,covid [29] cdc,adds [27] 19,vaccines [26] routine,vaccines [26] vaccines,kids [26] list,routine [25] 19,shots [25] adults,cnn [25] kids,adults Top Word Pairs in Tweet in G9:
[134] eric,clapton [133] dor,vacina [133] clapton,não [133] sistema,imunológico [133] dormir,causa [133] vacina,pegou [133] não,consigo [133] pegou,meu [133] simplesmente,abalou [133] causa,dor Top Word Pairs in Tweet in G10:
[126] covid,19 [85] actuaries,run [85] risk,mortality [85] increased,risk [85] 19,vaccination [85] numbers,uk [85] uk,increased [85] wonder,gov [85] gov,stopped [85] mortality,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: