The graph represents a network of 11,771 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 Monday, 10 August 2020 at 07:47 UTC.
The requested start date was Monday, 10 August 2020 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 3-day, 18-hour, 43-minute period from Wednesday, 05 August 2020 at 12:22 UTC to Sunday, 09 August 2020 at 07:05 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 : 11771
Unique Edges : 6908
Edges With Duplicates : 12214
Total Edges : 19122
Number of Edge Types : 5
Retweet : 5632
MentionsInRetweet : 6740
Mentions : 2627
Tweet : 3368
Replies to : 755
Self-Loops : 3415
Reciprocated Vertex Pair Ratio : 0.00419609047180432
Reciprocated Edge Ratio : 0.00835711373827966
Connected Components : 3499
Single-Vertex Connected Components : 932
Maximum Vertices in a Connected Component : 1242
Maximum Edges in a Connected Component : 2499
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.424022
Graph Density : 7.08219233551172E-05
Modularity : 0.579631
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,771 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 Monday, 10 August 2020 at 07:47 UTC.
The requested start date was Monday, 10 August 2020 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 3-day, 18-hour, 43-minute period from Wednesday, 05 August 2020 at 12:22 UTC to Sunday, 09 August 2020 at 07:05 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:
[3875] covid,19 [247] î,î [212] ø,ø [184] 19,cases [179] due,covid [178] ãƒ,ム[153] àª,ઠ[135] during,covid [135] covid,cases [119] covid,deaths Top Word Pairs in Tweet in G1:
[487] covid,19 [19] 19,cases [19] during,covid [15] 19,pandemic [14] casos,covid [12] warning,covid [11] 100,000 [10] amit,shah [10] positive,covid [9] æ,æ Top Word Pairs in Tweet in G2:
[182] covid,19 [67] neet,jee [61] covid,cases [48] amit,shah [45] home,minister [44] minister,amit [41] jee,neet [40] tests,negative [39] exams,peak [39] shah,tests Top Word Pairs in Tweet in G3:
[89] covid,19 [39] spread,covid [38] breaking,zealand [38] zealand,gone [38] gone,100 [38] 100,days [38] days,detected [38] detected,community [38] community,spread [38] 19,ministry Top Word Pairs in Tweet in G4:
[67] covid,19 [45] sicken,american [45] american,same [45] same,day [45] day,america [45] america,reached [45] reached,million [45] million,covid [45] 19,cases [45] cases,trump Top Word Pairs in Tweet in G5:
[53] covid,19 [9] vicepresidente,sectorial [8] 24,horas [8] lucha,contra [8] comunicaciã,cultura [8] cultura,turismo [8] turismo,jorgerpsuv [7] nuevos,casos [7] comisiã,presidencial [7] jorgerpsuv,informã Top Word Pairs in Tweet in G6:
[52] covid,19 [52] correctly,address [52] address,pandemic [52] pandemic,canâ [52] canâ,agree [52] agree,numbers [51] drdavidsamadi,correctly [21] covid,deaths [20] wearing,mask [20] mask,open Top Word Pairs in Tweet in G7:
[68] covid,19 [36] go,away [30] donald,trump [28] refused,take [23] united,states [23] states,passed [23] passed,million [23] million,reported [23] reported,infections [23] infections,covid Top Word Pairs in Tweet in G8:
[108] ˆà,žà [108] žà,µà [108] µà,ˆ [108] ˆ,conrad [108] conrad,ˆà [108] ˆà,covid [108] covid,11 [108] 11,confirmed [107] oomuum,ˆà Top Word Pairs in Tweet in G9:
[17] covid,19 [10] alexberenson,cdcgov [9] cdcgov,feb [8] died,#covid [8] died,causes [7] feb,45 [7] 45,american [7] american,kids [7] kids,under [7] under,15 Top Word Pairs in Tweet in G10:
[35] thousands,covid [35] covid,deaths [35] deaths,'to [35] 'to,removed [35] removed,counting [35] counting,blunder' [35] blunder',#georgenews [34] thecollectiveq,thousands [18] covid,19 [9] thing,worse Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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: