The graph represents a network of 5,582 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1023-day, 11-hour, 27-minute period from Sunday, 19 April 2020 at 13:33 UTC to Tuesday, 07 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 : 5582
Unique Edges : 1693
Edges With Duplicates : 9944
Total Edges : 11637
Number of Edge Types : 9
Tweet : 820
Retweet : 4405
MentionsInRetweet : 4812
Mentions : 293
Replies to : 436
MentionsInReplyTo : 738
Quote : 40
MentionsInQuote : 33
MentionsInQuoteReply : 60
Self-Loops : 980
Reciprocated Vertex Pair Ratio : 0.00888324873096447
Reciprocated Edge Ratio : 0.0176100628930818
Connected Components : 761
Single-Vertex Connected Components : 260
Maximum Vertices in a Connected Component : 2248
Maximum Edges in a Connected Component : 5454
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.4901
Graph Density : 0.000178633667191579
Modularity : 0.479724
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,582 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1023-day, 11-hour, 27-minute period from Sunday, 19 April 2020 at 13:33 UTC to Tuesday, 07 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:
[4124] covid,19 [1042] high,school [1041] school,experience [1041] dicaprio,girlfriend [1041] girlfriend,young [1041] experience,interrupted [1041] interrupted,covid [1041] young,high [1041] leonardo,dicaprio [1040] rohitakadambi,leonardo Top Word Pairs in Tweet in G1:
[1039] school,experience [1039] experience,interrupted [1039] leonardo,dicaprio [1039] high,school [1039] covid,19 [1039] dicaprio,girlfriend [1039] girlfriend,young [1039] interrupted,covid [1039] young,high [1038] rohitakadambi,leonardo Top Word Pairs in Tweet in G2:
[817] covid,19 [529] 19,vaccine [410] healthbyjames,breaking [327] healthbyjames,urgent [173] study,found [171] found,educated [171] phds,study [171] vaccine,hesitant [171] hesitant,group [171] urgent,vaccine Top Word Pairs in Tweet in G3:
[209] covid,19 [17] 19,vaccine [15] moderna,covid [15] pfizer,moderna [13] 19,vaccines [10] 19,pandemic [10] labels,pfizer [8] acknowledge,limitations [8] vaccines,updated [8] vaccine,mandate Top Word Pairs in Tweet in G4:
[212] covid,19 [160] 19,vaccine [109] down,street [109] publicly,displayed [109] canada,using [109] driving,down [109] trucks,driving [109] vaccine,being [109] injuries,covid [109] being,publicly Top Word Pairs in Tweet in G5:
[97] covid,19 [27] covid,protection [24] face,mask [21] 19,wards [20] working,covid [20] alzheimer's,50 [20] risk,developing [20] increases,risk [20] older,adults [20] 19,increases Top Word Pairs in Tweet in G6:
[69] censorship,network [66] network,'propaganda [66] slams,cisa [66] thread,#twitterfiles [66] cisa,censorship [66] #twitterfiles,elonmusk [66] elonmusk,slams [66] ',dhs [66] platform,' [66] 'propaganda,platform Top Word Pairs in Tweet in G7:
[83] emergency,preparedness [83] public,readiness [83] impossible,compensation [83] act,nearly [83] readiness,emergency [83] under,public [83] preparedness,prep [83] prep,act [83] nearly,impossible [82] robertkennedyjr,under Top Word Pairs in Tweet in G8:
[79] covid,19 [58] 19,vaccine [43] doctors,file [43] against,government [43] japanese,doctors [43] massive,lawsuit [43] lawsuit,against [43] government,covering [43] file,massive [43] vaccine,harms Top Word Pairs in Tweet in G9:
[103] covid,19 [85] 19,vaccine [71] vaccine,mandate [65] end,covid [65] international,air [65] bill,end [65] mandate,international [65] cosponsoring,bill [61] repthomasmassie,thank [53] thank,repkatcammack Top Word Pairs in Tweet in G10:
[40] covid,19 [29] breaking,pfizer [18] project_veritas,breaking [16] women's,reproductive [15] pfizer,director [15] over,women's [15] director,concerned [15] concerned,over [14] virus,vaccines [14] tell,anyone Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G10: