The graph represents a network of 9,005 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 December 2022 at 08:20 UTC.
The requested start date was Saturday, 10 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 19-minute period from Wednesday, 07 December 2022 at 11:58 UTC to Friday, 09 December 2022 at 12:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 9005
Unique Edges : 4511
Edges With Duplicates : 11960
Total Edges : 16471
Number of Edge Types : 5
Retweet : 5441
MentionsInRetweet : 6217
Tweet : 2700
Replies to : 543
Mentions : 1570
Self-Loops : 2773
Reciprocated Vertex Pair Ratio : 0.004313161678212
Reciprocated Edge Ratio : 0.00858927641853201
Connected Components : 2365
Single-Vertex Connected Components : 1029
Maximum Vertices in a Connected Component : 2414
Maximum Edges in a Connected Component : 5288
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 10.524602
Graph Density : 9.47694047262849E-05
Modularity : 0.523775
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,005 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 December 2022 at 08:20 UTC.
The requested start date was Saturday, 10 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 19-minute period from Wednesday, 07 December 2022 at 11:58 UTC to Friday, 09 December 2022 at 12:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[5912] covid,19 [303] 19,vaccines [283] 19,vaccine [273] contra,covid [191] co,founder [190] brianne,dressen [188] react19,co [188] astrazeneca,trial [188] dressen,injured [188] founder,brianne Top Word Pairs in Tweet in G1:
[1012] covid,19 [44] 19,vaccine [40] 19,pandemic [27] contra,covid [23] against,covid [23] 19,vaccines [22] sars,cov [22] casos,covid [19] 19,booster [19] vaccine,mandate Top Word Pairs in Tweet in G2:
[614] covid,19 [169] combate,covid [169] mascarilla,vacunas [169] combinación,mascarilla [169] mejor,combinación [169] vacunas,sé [169] sé,consciente [169] 19,mejor [169] #prevención,combate [160] consciente,cuídate Top Word Pairs in Tweet in G3:
[179] dressen,injured [179] trial,tells [179] co,founder [179] brianne,dressen [179] tells,secrets [179] react19,co [179] watch,react19 [179] injured,during [179] astrazeneca,trial [179] during,astrazeneca Top Word Pairs in Tweet in G4:
[169] covid,19 [107] 19,vaccines [74] mrna,covid [66] thank,senronjohnson [62] effects,mrna [62] adverse,effects [62] dedication,adverse [62] vaccines,addressed [62] senronjohnson,dedication [61] flsurgeongen,thank Top Word Pairs in Tweet in G5:
[146] covid,19 [34] vaccins,covid [28] web,médias [28] médias,sociaux [28] recherches,web [28] harms,covid [28] intéressant,recherches [28] évidence,irrégularités [28] 19,vaccines [28] sociaux,mettent Top Word Pairs in Tweet in G6:
[138] covid,19 [118] govt,created [117] wuhan,lab [117] know,govt [117] funding,gain [117] created,covid [117] lab,china [117] 19,funding [117] research,wuhan [117] function,research Top Word Pairs in Tweet in G7:
[78] following,#twitterfiles [78] obtained,documents [78] secret,twitter [78] breaking,following [78] #twitterfiles,afl [78] uncovering,secret [78] twitter,portal [78] afl,obtained [78] documents,uncovering [77] america1stlegal,breaking Top Word Pairs in Tweet in G8:
[94] covid,19 [89] human,trafficking [89] 19,relief [89] fund,illegal [89] interest,covid [89] relief,funds [89] trafficking,operation [89] sponsor,don [89] desantis,used [89] used,interest Top Word Pairs in Tweet in G9:
[84] covid,19 [42] bfmtv,covid [32] dose,rappel [30] françois,braun [30] 19,françois [28] préconise,dose [28] six,mois [28] frcsbraun,préconise [28] rappel,tous [28] braun,frcsbraun Top Word Pairs in Tweet in G10:
[120] covid,19 [16] 19,admissions [16] 12,months [16] rate,covid [15] admissions,cohort [15] months,ago [15] ago,aligns [15] cohort,children [15] born,12 [15] children,born Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: