The graph represents a network of 6,656 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 09:02 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 : 6656
Unique Edges : 3074
Edges With Duplicates : 10822
Total Edges : 13896
Number of Edge Types : 9
Retweet : 3865
MentionsInRetweet : 4496
Replies to : 1280
MentionsInReplyTo : 2291
Quote : 133
Tweet : 1323
MentionsInQuote : 80
Mentions : 376
MentionsInQuoteReply : 52
Self-Loops : 1600
Reciprocated Vertex Pair Ratio : 0.0222058823529412
Reciprocated Edge Ratio : 0.0434469860451734
Connected Components : 1302
Single-Vertex Connected Components : 290
Maximum Vertices in a Connected Component : 2921
Maximum Edges in a Connected Component : 7414
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.785992
Graph Density : 0.000156922751834942
Modularity : 0.510367
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,656 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 09:02 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
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:
[874] covid,19 [548] covid,vax [340] heart,attacks [264] doses,covid [263] millions,doses [262] cause,heart [260] sweden,discards [260] eight,millions [260] discards,eight [260] citizens,covid Top Word Pairs in Tweet in G1:
[468] covid,vax [234] heart,attacks [229] cause,heart [229] attacks,sweden [229] vax,cause [229] eight,millions [229] discards,eight [229] doses,covid [229] warning,citizens [229] citizens,covid Top Word Pairs in Tweet in G2:
[81] covid,19 [11] bbb,23 [9] 19,vaccine [7] culto,akutagawa [7] prior,galo [7] marielle,facinho [7] turquia,marielle [7] ai,preto [7] melanie,martinez [7] big,boss Top Word Pairs in Tweet in G3:
[43] columbia,university [43] requiring,faculty [43] share,science [43] behind,requiring [43] staff,students [43] faculty,staff [43] university,care [43] care,share [43] students,5x [43] science,behind Top Word Pairs in Tweet in G4:
[42] covid,19 [40] heart,attacks [39] vaccine,safety [37] alarming,data [37] finds,alarming [37] data,84 [37] increased,chance [37] men,florida [37] safety,analysis [37] florida,department Top Word Pairs in Tweet in G5:
[68] doctors,warn [57] lipid,nanoparticles [57] dr,jessica [57] mrna,vaccine [57] safety,covid [57] covid,mrna [57] jessica,rose [57] rose,safety [57] vaccine,lipid [55] moderna,product Top Word Pairs in Tweet in G6:
[109] covid,19 [103] 34,385 [103] 2023,34 [103] 680,25 [103] 385,worldwide [103] 10,2023 [103] worldwide,deaths [103] data,covid [103] 19,vaccine [103] deaths,680 Top Word Pairs in Tweet in G7:
[99] covid,shots [98] caused,covid [97] signals,very [97] epidemic,caused [97] cancer,epidemic [97] epidemic,cancer [97] shots,seeing [97] next,epidemic [97] seeing,signals [96] naturallyftw,next Top Word Pairs in Tweet in G8:
[51] 18,6bi [51] em,2019 [51] nas,contas [51] 2019,déficit [51] iniciamos,governo [51] déficit,25 [51] governo,déficit [51] 6bi,2020 [51] menor,18 [51] foi,menor Top Word Pairs in Tweet in G9:
[18] cause,death [16] leading,cause [13] long,covid [12] covid,third [11] mild,until [11] fitterhappieraj,covid [11] death,call [11] third,leading [11] call,mild [11] covid,19 Top Word Pairs in Tweet in G10:
[7] high,risk [6] brain,damage [5] avengerclitoris,philipmarks87 [5] debbievee,allison86435394 [5] covid,brain [5] haven,covering [5] much,haven [5] allison86435394,avengerclitoris [5] worldmeetjohn,debbievee [4] biden,ending Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: