The graph represents a network of 11,951 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 Saturday, 20 November 2021 at 08:37 UTC.
The requested start date was Saturday, 20 November 2021 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, 2-minute period from Wednesday, 17 November 2021 at 12:17 UTC to Friday, 19 November 2021 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 : 11951
Unique Edges : 7027
Edges With Duplicates : 11253
Total Edges : 18280
Number of Edge Types : 5
Replies to : 1134
Mentions : 2611
Retweet : 5094
MentionsInRetweet : 5900
Tweet : 3541
Self-Loops : 3593
Reciprocated Vertex Pair Ratio : 0.0041076640363204
Reciprocated Edge Ratio : 0.00818172031435031
Connected Components : 3694
Single-Vertex Connected Components : 1025
Maximum Vertices in a Connected Component : 467
Maximum Edges in a Connected Component : 809
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.035666
Graph Density : 6.50424379325762E-05
Modularity : 0.588002
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,951 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 Saturday, 20 November 2021 at 08:37 UTC.
The requested start date was Saturday, 20 November 2021 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, 2-minute period from Wednesday, 17 November 2021 at 12:17 UTC to Friday, 19 November 2021 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:
[2187] covid,19 [174] contra,covid [159] covid,vaccine [139] 19,vaccine [107] covid,cases [86] public,health [85] mask,wearing [80] fully,vaccinated [73] due,covid [72] covid,vaccines Top Word Pairs in Tweet in G1:
[297] covid,19 [36] contra,covid [15] secara,daring [13] covid,vaccine [13] pandemi,covid [12] 19,cases [12] due,covid [11] tahun,ini [11] 19,vaccine [10] during,covid Top Word Pairs in Tweet in G2:
[34] covid,19 [28] भ,जप [28] र,ह [23] extra,attempt [17] स,क [16] य,न [15] र,य [15] सरक,र [15] म,द [14] उत,तर Top Word Pairs in Tweet in G3:
[23] austria,go [23] go,full [23] full,lockdown [20] breaking,austria [20] lockdown,monday [20] monday,covid [20] covid,surges [20] surges,jabs [20] jabs,compulsory [20] compulsory,feb Top Word Pairs in Tweet in G4:
[3] mcfunny,takethatct [2] holocaust,survivor [2] survivor,warns [2] warns,against [2] against,covid [2] covid,mandates [2] mandates,fascist [2] fascist,dictatorship [2] poll,time [2] time,many Top Word Pairs in Tweet in G5:
[30] covid,19 [21] breaking,news [19] covid,vaccine [17] nytimes,breaking [14] white,house [12] news,white [12] house,plans [12] plans,spend [12] spend,billions [12] billions,expanding Top Word Pairs in Tweet in G6:
[30] covid,19 [18] levée,immédiate [18] secret,défense [14] gestion,covid [14] cas,covid [13] covid,exigeons [13] exigeons,levée [13] immédiate,scandaleux [13] scandaleux,secret [13] défense,vérité Top Word Pairs in Tweet in G7:
[18] covid,19 [12] effets,secondaires [8] covid,effets [8] secondaires,vaccin [8] vaccin,vont [8] vont,coûter [8] coûter,cher [8] cher,l'australie [7] interviews,days [7] days,apart Top Word Pairs in Tweet in G8:
[11] pregnant,women [11] admitted,hospital [10] covid,19 [10] women,admitted [10] hospital,including [10] including,icu [10] icu,covid [10] covid,unvaccinated [10] unvaccinated,risk [9] cmo_england,pregnant Top Word Pairs in Tweet in G9:
[18] même,anciens [18] anciens,sont [18] sont,rue [18] rue,guadeloupe [18] guadeloupe,jeunes [18] jeunes,anciens [18] anciens,tous [18] tous,ils [18] ils,appellent [18] appellent,#combat Top Word Pairs in Tweet in G10:
[20] için,mücadele [20] mücadele,veriyoruz [18] covid,19 [15] çığlık,atıyorum [15] atıyorum,olur [15] olur,duyun [15] duyun,sesimi [15] sesimi,sma_talha [15] sma_talha,#seninleyiztalha [15] #seninleyiztalha,#zamançarkı Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: