The graph represents a network of 5,880 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 08:15 UTC.
The tweets in the network were tweeted over the 1070-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Sunday, 19 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 : 5880
Unique Edges : 2520
Edges With Duplicates : 10269
Total Edges : 12789
Number of Edge Types : 9
Retweet : 4074
MentionsInRetweet : 4894
MentionsInReplyTo : 1330
Replies to : 792
Tweet : 1180
Mentions : 373
Quote : 68
MentionsInQuoteReply : 24
MentionsInQuote : 54
Self-Loops : 1450
Reciprocated Vertex Pair Ratio : 0.0124426981008513
Reciprocated Edge Ratio : 0.0245795601552393
Connected Components : 1021
Single-Vertex Connected Components : 353
Maximum Vertices in a Connected Component : 2890
Maximum Edges in a Connected Component : 7323
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 8.164241
Graph Density : 0.00017889108356389
Modularity : 0.498548
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,880 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 08:15 UTC.
The tweets in the network were tweeted over the 1070-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Sunday, 19 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:
[3844] covid,19 [717] 19,vaccine [469] vaccine,injuries [461] february,10 [459] 34,385 [459] 2023,34 [459] 680,25 [459] worldwide,deaths [459] 385,worldwide [459] injuries,february Top Word Pairs in Tweet in G1:
[431] covid,19 [421] 19,vaccine [414] 34,385 [414] 2023,34 [414] 680,25 [414] 385,worldwide [414] 10,2023 [414] worldwide,deaths [414] data,covid [414] deaths,680 Top Word Pairs in Tweet in G2:
[247] covid,19 [168] removed,market [168] #covidvaccines,removed [153] senatefloor,special [153] concluded,#covidvaccines [153] senategop,senatefloor [153] panel,concluded [153] special,panel [152] market,thes [152] p_mcculloughmd,senategop Top Word Pairs in Tweet in G3:
[315] covid,19 [31] 19,vaccine [22] 19,pandemic [20] vaksin,booster [20] contra,covid [15] 19,vaccination [11] during,covid [11] bbb,23 [11] 19,dan [10] booster,terbukti Top Word Pairs in Tweet in G4:
[151] tomou,vacina [146] não,tomou [136] processar,ministro [120] covid,19 [95] contra,covid [87] vacina,contra [72] controladoria,geral [72] geral,união [70] bolsonaro,disse [69] disse,não Top Word Pairs in Tweet in G5:
[152] covid,19 [69] reporting,serious [69] organisations,reporting [69] heavy,hitting [69] effects,mild [69] news,organisations [69] well,month [69] serious,effects [69] hitting,news [69] month,heavy Top Word Pairs in Tweet in G6:
[120] 19ワクチンのブースター接種をしない事を決定したようです,ブースターを重ねると感染しやすくなるというデータが出たからです [120] イギリスは全ての年齢層に,covid [120] covid,19ワクチンのブースター接種をしない事を決定したようです [119] kojikoj94192232,イギリスは全ての年齢層に [119] ブースターを重ねると感染しやすくなるというデータが出たからです,日本でワクチン工場の計画を進めているモデルナや第一三共はどうするのでしょう [34] 19の感染者は1146人で,死亡した人は8人だったと報じられています [34] 一万人に1人が感染し,が死亡したということだが [34] が死亡したということだが,死亡者全員は７０歳以上で [34] 死亡者全員は７０歳以上で,コロナでの死亡かどうかは怪しい [34] 18,東京都で新たなcovid Top Word Pairs in Tweet in G7:
[103] moderna,patented [103] sequence,happens [103] remarkable,moderna [103] gene,sequence [103] 2016,19 [103] happens,100 [103] 100,match [103] 19,nucleotide [103] nucleotide,gene [103] patented,2016 Top Word Pairs in Tweet in G8:
[150] covid,19 [51] contra,covid [32] 19,debemos [31] compartimos,informe [31] #sistemapatria,#carnetdelapatria [31] #atención,#sistemapatria [31] informe,covid [31] #carnetdelapatria,compartimos [27] lucha,contra [25] últimas,24 Top Word Pairs in Tweet in G9:
[81] covid,19 [8] being,diagnosed [8] risk,being [8] breaking,pfizer [8] populations,study [8] seeing,multiple [8] raised,risk [8] diagnosed,diabetes [8] 58,re [8] diabetes,58 Top Word Pairs in Tweet in G10:
[81] covid,19 [52] tomou,vacina [45] morreram,covid [44] exatamente,mesmo [44] pessoas,morreram [44] mesmo,dia [44] bolsonaro,tomou [44] 668,pessoas [44] dia,bolsonaro [44] vacina,668 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: