The graph represents a network of 11,399 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 09 June 2022 at 09:29 UTC.
The requested start date was Thursday, 09 June 2022 at 00:01 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, 2-minute period from Monday, 06 June 2022 at 12:16 UTC to Wednesday, 08 June 2022 at 12:19 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 : 11399
Unique Edges : 6744
Edges With Duplicates : 11451
Total Edges : 18195
Number of Edge Types : 5
Retweet : 5224
MentionsInRetweet : 6284
Tweet : 2841
Replies to : 1287
Mentions : 2559
Self-Loops : 2877
Reciprocated Vertex Pair Ratio : 0.00526152893840916
Reciprocated Edge Ratio : 0.0104679802955665
Connected Components : 3005
Single-Vertex Connected Components : 948
Maximum Vertices in a Connected Component : 3028
Maximum Edges in a Connected Component : 6170
Maximum Geodesic Distance (Diameter) : 36
Average Geodesic Distance : 12.276884
Graph Density : 7.49966507807279E-05
Modularity : 0.592196
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,399 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 09 June 2022 at 09:29 UTC.
The requested start date was Thursday, 09 June 2022 at 00:01 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, 2-minute period from Monday, 06 June 2022 at 12:16 UTC to Wednesday, 08 June 2022 at 12:19 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
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:
[1678] covid,19 [337] long,covid [130] manuelrico,hoy [127] positive,covid [110] during,covid [106] 19,vaccine [98] covid,vaccine [98] boris,johnson [96] días,gobierno [96] gobierno,ayuso Top Word Pairs in Tweet in G1:
[253] covid,19 [24] long,covid [14] covid,vaccine [14] contra,covid [12] casos,covid [11] due,covid [11] during,covid [11] covid,test [11] teste,covid [10] 06,06 Top Word Pairs in Tweet in G2:
[45] patrick,cohen [44] hypothèse,origine [44] origine,artificielle [44] artificielle,covid [44] covid,maintenant [44] maintenant,admise [44] admise,compris [44] compris,par [44] par,lancet [44] lancet,même Top Word Pairs in Tweet in G3:
[24] boris,johnson [24] big,calls [24] calls,right [23] right,brexit [22] brexit,disaster [21] prime,minister [21] conservatives,mp [21] mp,saying [21] saying,big [21] disaster,still Top Word Pairs in Tweet in G4:
[2] dominos20076133,kitty_fisher_ [2] kitty_fisher_,mr_magoo5 [2] mr_magoo5,theonew16516042 [2] theonew16516042,frosty69b [2] frosty69b,jonathanhannah [2] jonathanhannah,paramaniac9 [2] paramaniac9,fadgesniffer [2] shocktraumarn,mpc_xetts [2] albowers1,willard1951 [2] fvckyourfear,aspalaasnasntyr Top Word Pairs in Tweet in G5:
[45] covid,hospital [45] hospital,admissions [36] england,covid [36] admissions,month [36] month,2021 [36] 2021,569 [36] 569,2022 [36] 2022,18 [36] 18,389 [36] 389,living Top Word Pairs in Tweet in G6:
[31] took,office [23] covid,19 [21] deaths,down [20] covid,deaths [20] down,90 [18] lot,work [18] work,still [18] still,latest [18] latest,data [18] data,shows Top Word Pairs in Tweet in G7:
[27] long,covid [13] covid,19 [11] florida,undercounted [11] undercounted,covid [11] covid,cases [11] cases,deaths [11] deaths,failed [11] failed,test [11] test,results [11] results,florida Top Word Pairs in Tweet in G8:
[25] nadine,dorries [21] nadinedorries,breaking [21] breaking,nadine [21] dorries,finally [21] finally,confirms [21] confirms,tories [21] tories,blame [21] blame,sky [21] sky,high [21] high,covid Top Word Pairs in Tweet in G9:
[25] lula,janja [24] sírio,libanês [24] pega,covid [22] covid,vai [21] covid,19 [20] nine,covid [19] isolamento,já [19] já,encontrava [19] não,funciona [18] taoquei1,nine Top Word Pairs in Tweet in G10:
[38] covid,19 [33] injected,saline [33] saline,solution [33] solution,dr [33] dr,sousa [33] sousa,faro [33] faro,president [33] president,european [33] european,pharma [33] pharma,giant Top Replied-To in Entire Graph:
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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: