The graph represents a network of 11,953 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 Sunday, 18 April 2021 at 08:04 UTC.
The requested start date was Sunday, 18 April 2021 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, 0-minute period from Wednesday, 14 April 2021 at 13:29 UTC to Friday, 16 April 2021 at 13:30 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 : 11953
Unique Edges : 7332
Edges With Duplicates : 11421
Total Edges : 18753
Number of Edge Types : 5
Retweet : 5101
MentionsInRetweet : 6156
Mentions : 2778
Tweet : 4021
Replies to : 697
Self-Loops : 4058
Reciprocated Vertex Pair Ratio : 0.00475932936722553
Reciprocated Edge Ratio : 0.00947357089030035
Connected Components : 4074
Single-Vertex Connected Components : 1313
Maximum Vertices in a Connected Component : 1102
Maximum Edges in a Connected Component : 2522
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.478476
Graph Density : 6.50206727800799E-05
Modularity : 0.580417
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,953 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 Sunday, 18 April 2021 at 08:04 UTC.
The requested start date was Sunday, 18 April 2021 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, 0-minute period from Wednesday, 14 April 2021 at 13:29 UTC to Friday, 16 April 2021 at 13:30 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:
[3321] covid,19 [351] contra,covid [188] 19,vaccine [164] อ,covid [160] covid,vaccine [142] covid,cases [131] positive,covid [124] covid,positive [110] cpi,covid [110] due,covid Top Word Pairs in Tweet in G1:
[579] covid,19 [45] contra,covid [38] 19,vaccine [25] covid,vaccine [17] 19,cases [17] 19,pandemic [17] due,covid [15] pandemia,covid [14] johnson,johnson [14] during,covid Top Word Pairs in Tweet in G2:
[83] covid,19 [35] covid,cases [18] ssc,chsl [15] health,minister [15] leader,saying [13] please,postpone [12] covid,positive [12] rahul,gandhi [12] joker,india [12] india,health Top Word Pairs in Tweet in G3:
[238] covid,19 [60] contra,covid [33] lucha,contra [31] vacunas,anti [31] anti,covid [28] propagación,covid [27] evitar,propagación [26] 19,venezuela [22] venezuela,registra [22] nuevos,casos Top Word Pairs in Tweet in G4:
[89] speedy,recovery [79] covid,19 [62] pawankalyan,garu [47] tested,positive [45] positive,covid [45] pawan,kalyan [44] tests,positive [42] well,soon [34] wishing,speedy [32] covid,positive Top Word Pairs in Tweet in G5:
[28] milhões,doses [25] contra,covid [23] covid,19 [23] cpi,covid [19] nesta,quarta [14] renan,calheiros [13] fiocruz,entregou [13] entregou,nesta [13] quarta,milhões [13] doses,vacina Top Word Pairs in Tweet in G6:
[21] hola,alferdez [21] alferdez,acá [21] acá,estoy [21] estoy,relajado [19] relajado,sacando [19] sacando,tumor [19] tumor,oído [19] oído,paciente [19] paciente,vago [19] vago,viejo Top Word Pairs in Tweet in G7:
[11] good,news [11] news,moderna [11] moderna,expects [11] expects,#covid19 [11] #covid19,vaccine [11] vaccine,booster [11] booster,shot [11] shot,available [11] available,fall [11] fall,adapted Top Word Pairs in Tweet in G8:
[31] covid,19 [13] covid,hospital [12] outside,covid [12] 19,hospital [9] friend,dire [9] dire,situation [9] situation,oxygen [9] oxygen,level [9] level,dropped [9] dropped,92 Top Word Pairs in Tweet in G9:
[17] state,ut [17] ut,covid [17] covid,helplines [17] helplines,numbers [17] numbers,please [17] please,amplify [16] devilsxblessing,state [14] covid,plasma [12] urgent,need [12] need,covid Top Word Pairs in Tweet in G10:
[76] covid,tirando [76] tirando,nós [76] nós,únicas [76] únicas,coisas [76] coisas,não [76] não,podem [76] podem,recuperadas [76] recuperadas,vida [76] vida,tempo [75] ijbrunissima,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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 G3:
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Top Tweeters in G10: