The graph represents a network of 10,811 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 Tuesday, 26 January 2021 at 08:21 UTC.
The requested start date was Tuesday, 26 January 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, 1-minute period from Wednesday, 20 January 2021 at 13:43 UTC to Friday, 22 January 2021 at 13:45 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 : 10811
Unique Edges : 5687
Edges With Duplicates : 12527
Total Edges : 18214
Number of Edge Types : 5
Retweet : 5658
MentionsInRetweet : 6600
Mentions : 2186
Tweet : 3383
Replies to : 387
Self-Loops : 3419
Reciprocated Vertex Pair Ratio : 0.00627250551748171
Reciprocated Edge Ratio : 0.0124668128823733
Connected Components : 3273
Single-Vertex Connected Components : 1048
Maximum Vertices in a Connected Component : 1039
Maximum Edges in a Connected Component : 2261
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.966123
Graph Density : 7.41270561530206E-05
Modularity : 0.546348
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 10,811 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 Tuesday, 26 January 2021 at 08:21 UTC.
The requested start date was Tuesday, 26 January 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, 1-minute period from Wednesday, 20 January 2021 at 13:43 UTC to Friday, 22 January 2021 at 13:45 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:
[6928] covid,19 [800] contra,covid [332] 19,vaccine [200] vacina,contra [195] 000,americans [192] vacuna,contra [179] fondo,humanitario [171] humanitario,banco [170] banco,medicinas [164] 19,pandemic Top Word Pairs in Tweet in G1:
[930] covid,19 [63] contra,covid [52] 19,vaccine [21] china,virus [20] 19,china [19] positive,covid [19] 19,cases [18] casos,covid [18] 19,pandemic [17] against,covid Top Word Pairs in Tweet in G2:
[357] covid,19 [180] contra,covid [141] fondo,humanitario [136] humanitario,banco [135] banco,medicinas [120] crea,fondo [106] #vacunasparalospueblos,crea [104] día,#vacunasparalospueblos [104] medicinas,través [99] etiqueta,día Top Word Pairs in Tweet in G3:
[136] ao,brasil [130] vacina,contra [127] hoje,governo [127] governo,índia [127] índia,em [127] em,marcante [127] marcante,gesto [127] gesto,amizade [127] amizade,deu [127] deu,prioridade Top Word Pairs in Tweet in G4:
[183] covid,19 [86] 000,americans [85] died,covid [84] president,biden [84] biden,attending [84] attending,ceremonies [84] ceremonies,today [84] today,000 [84] americans,died [84] 19,watch Top Word Pairs in Tweet in G5:
[109] lost,covid [75] 400,000 [74] covid,19 [74] 000,americans [73] americans,ve [73] ve,lost [71] tonight,washington [71] washington,nation [71] nation,came [71] came,together Top Word Pairs in Tweet in G6:
[120] covid,19 [35] today,announced [35] announced,covid [35] 19,national [35] national,action [35] action,plan [35] plan,mounting [35] mounting,aggressive [35] aggressive,coordinated [35] coordinated,equitable Top Word Pairs in Tweet in G7:
[56] covid,czar [56] czar,jeff [56] jeff,zients [56] zients,re [56] re,inheriting [56] inheriting,trump [56] trump,administration [56] administration,much [56] much,worse [56] worse,imagined Top Word Pairs in Tweet in G8:
[46] covid,19 [32] united,states [30] today,spoke [30] spoke,phone [30] phone,director [30] director,general [30] general,dr [30] dr,tedros [30] tedros,adhanom [30] adhanom,ghebreyesus Top Word Pairs in Tweet in G9:
[77] covid,19 [28] contra,covid [18] lucha,contra [15] millones,dosis [15] dosis,vacuna [13] combatir,covid [12] vacuna,anti [12] anti,covid [11] distanciamiento,social [11] nuestro,pueblo Top Word Pairs in Tweet in G10:
[106] covid,19 [20] serum,institute [20] institute,india [17] india,mayor [17] mayor,fabricante [17] fabricante,vacunas [15] pfizer,biontech [15] 19,descansa [15] gran,incendio [15] incendio,desató Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: