The graph represents a network of 5,790 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 08:05 UTC.
The tweets in the network were tweeted over the 992-day, 8-hour, 31-minute period from Tuesday, 21 April 2020 at 16:29 UTC to Monday, 09 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 : 5790
Unique Edges : 2234
Edges With Duplicates : 10124
Total Edges : 12358
Number of Edge Types : 9
Retweet : 4256
MentionsInRetweet : 4607
MentionsInReplyTo : 1391
Replies to : 575
Tweet : 1122
Mentions : 263
Quote : 61
MentionsInQuote : 23
MentionsInQuoteReply : 60
Self-Loops : 1357
Reciprocated Vertex Pair Ratio : 0.0119131044148563
Reciprocated Edge Ratio : 0.0235457063711911
Connected Components : 921
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 2501
Maximum Edges in a Connected Component : 5685
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.855295
Graph Density : 0.000172323723958636
Modularity : 0.490587
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,790 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 08:05 UTC.
The tweets in the network were tweeted over the 992-day, 8-hour, 31-minute period from Tuesday, 21 April 2020 at 16:29 UTC to Monday, 09 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-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:
[3818] covid,19 [408] die,covid [403] vaccinated,die [403] triple,vaccinated [370] 19,know [370] know,more [370] more,boosters [370] boosters,more [366] drloupis,triple [237] contra,covid Top Word Pairs in Tweet in G1:
[424] covid,19 [341] know,more [341] vaccinated,die [341] die,covid [341] 19,know [341] more,boosters [341] triple,vaccinated [341] boosters,more [340] drloupis,triple [55] time,vaccines Top Word Pairs in Tweet in G2:
[249] covid,19 [17] 19,vaccine [11] contra,covid [11] 19,vaccines [11] 19,pandemic [11] 19,cases [10] sars,cov [10] covid,cases [9] past,week [9] 21,685 Top Word Pairs in Tweet in G3:
[132] covid,19 [70] data,finds [70] covid,related [70] related,hospitalizations [70] australian,public [70] breaking,bombshell [70] public,health [70] hospitalizations,icu [70] finds,covid [70] healthbyjames,breaking Top Word Pairs in Tweet in G4:
[212] ว,า [212] ใน,#มหาว [212] วโลก,เก [212] านคนท,วโลก [212] อบ,ใน [212] วยโคว,ดกว [212] อม,ลจากศาสตราจารย [212] ระบ,ว [212] ดกว,า [212] น,ระบ Top Word Pairs in Tweet in G5:
[390] covid,19 [180] contra,covid [176] vtvcanal8,#jornadadevacunación [167] vtvcanal8,#prevención [164] combinación,mascarilla [164] 19,mejor [164] mejor,combinación [164] combate,covid [164] mascarilla,vacunas [164] vacunas,sé Top Word Pairs in Tweet in G6:
[123] covid,19 [62] staggering,90 [62] 90,people [62] found,staggering [61] long,covid [35] started,mild [35] ended,long [35] mild,case [35] shows,found [35] study,shows Top Word Pairs in Tweet in G7:
[150] covid,19 [139] require,surgical [139] 2023,require [139] surgical,masks [139] 19,vaccination [139] masks,proof [139] satancon,2023 [139] proof,covid [138] clownworld_,satancon [6] foxnews,foxnews Top Word Pairs in Tweet in G8:
[75] covid,19 [23] 19,vaccines [12] interstitial,lung [11] 19,vaccine [10] vaers,shocked [10] dr,yan [10] courageous,discourse [10] something,vaers [9] lung,disease [9] jesslovesmjk,something Top Word Pairs in Tweet in G9:
[33] covid,19 [32] censorship,network [29] network,'propaganda [29] slams,cisa [29] thread,#twitterfiles [29] cisa,censorship [29] #twitterfiles,elonmusk [29] elonmusk,slams [29] ',dhs [29] platform,' Top Word Pairs in Tweet in G10:
[117] covid,19 [66] varian,baharu [66] baharu,covid [66] beri,amaran [66] amaran,kemunculan [66] kemunculan,varian [66] 19,digelar [64] digelar,'kraken' [43] redzuannewsmpb,beri [24] vaksin,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: