The graph represents a network of 5,750 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 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1473-day, 4-hour, 0-minute period from Friday, 04 January 2019 at 21:00 UTC to Tuesday, 17 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 : 5750
Unique Edges : 1927
Edges With Duplicates : 10583
Total Edges : 12510
Number of Edge Types : 9
Retweet : 4057
MentionsInRetweet : 4379
Tweet : 1070
Mentions : 331
Replies to : 870
MentionsInReplyTo : 1687
Quote : 57
MentionsInQuote : 40
MentionsInQuoteReply : 19
Self-Loops : 1270
Reciprocated Vertex Pair Ratio : 0.0126560028124451
Reciprocated Edge Ratio : 0.0249956604756119
Connected Components : 915
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 2844
Maximum Edges in a Connected Component : 6992
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.117106
Graph Density : 0.000174276055571101
Modularity : 0.472298
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,750 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 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1473-day, 4-hour, 0-minute period from Friday, 04 January 2019 at 21:00 UTC to Tuesday, 17 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:
[3318] covid,19 [903] anthony,fauci [901] dr,anthony [900] liberal,activists [900] nih,1990 [900] gay,liberal [900] fauci,blocking [900] activists,stormed [900] stormed,nih [900] blocking,cheap Top Word Pairs in Tweet in G1:
[829] anthony,fauci [826] activists,stormed [826] liberal,activists [826] blocking,cheap [826] nih,1990 [826] gay,liberal [826] dr,anthony [826] blamed,dr [826] stormed,nih [826] 1990,blamed Top Word Pairs in Tweet in G2:
[247] debate,left [247] pharma,evil [247] whether,pharma [247] left,regarding [247] regarding,whether [246] rwmalonemd,debate [140] covid,19 [53] 19,vaccine [51] cdc,data [51] data,show Top Word Pairs in Tweet in G3:
[269] covid,19 [12] 19,vaccine [11] contra,covid [11] casos,covid [9] 19,pandemic [8] novos,casos [7] 24,horas [7] #covid,19 [6] 12,mil [6] em,24 Top Word Pairs in Tweet in G4:
[244] covid,19 [144] 19,vaccine [44] healthbyjames,urgent [43] vaccine,pfizer [43] pfizer,covid [43] days,receiving [43] sarah,experienced [43] experienced,unrelenting [43] 2021,sarah [43] august,2021 Top Word Pairs in Tweet in G5:
[124] covid,19 [35] 19,vaccination [34] pregnant,women [33] reject,covid [33] show,sharp [33] end,2022 [33] data,end [33] women,reject [33] sharp,decline [33] decline,2023 Top Word Pairs in Tweet in G6:
[193] vtvcanal8,#jornadadevacunación [179] #jornadadevacunación,estás [179] recientemente,tienes [179] embarazada,estado [179] enfermarte,gravemente [179] tienes,probabilidades [179] estado,recientemente [179] estás,embarazada [179] probabilidades,enfermarte [78] covid,19 Top Word Pairs in Tweet in G7:
[170] covid,19 [55] 19,vaccines [52] click,link [52] vaccine,click [52] taking,vaccine [52] link,below [52] paper,card [52] without,taking [49] decade,ago [49] happen,hpv Top Word Pairs in Tweet in G8:
[62] covid,19 [15] end,life [15] life,care [15] director,end [15] within,nhs [14] 19,pandemic [14] 19,vaccines [11] review,later [11] safety,review [11] safety,safety Top Word Pairs in Tweet in G9:
[311] covid,19 [106] 19,digital [106] qr,certificate [106] without,taking [106] digital,qr [106] taking,vaccine [106] letters,without [106] boosters,exemption [106] vaccine,click [106] 19,vaccines Top Word Pairs in Tweet in G10:
[86] covid,19 [34] bridges,21 [31] clair,bridges [20] vacunada,contra [20] 21,estaba [20] completamente,vacunada [20] covid,modos [20] 19,contrajo [20] contra,covid [20] estaba,completamente Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: