The graph represents a network of 11,924 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, 09 August 2020 at 07:48 UTC.
The requested start date was Sunday, 09 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 2-day, 0-hour, 0-minute period from Tuesday, 04 August 2020 at 12:22 UTC to Thursday, 06 August 2020 at 12:23 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 : 11924
Unique Edges : 6720
Edges With Duplicates : 12000
Total Edges : 18720
Number of Edge Types : 5
Retweet : 5602
MentionsInRetweet : 6516
Mentions : 2409
Tweet : 3388
Replies to : 805
Self-Loops : 3424
Reciprocated Vertex Pair Ratio : 0.00530335171828596
Reciprocated Edge Ratio : 0.0105507491031863
Connected Components : 3647
Single-Vertex Connected Components : 974
Maximum Vertices in a Connected Component : 1350
Maximum Edges in a Connected Component : 2693
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.127259
Graph Density : 6.66667360672219E-05
Modularity : 0.579876
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,924 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, 09 August 2020 at 07:48 UTC.
The requested start date was Sunday, 09 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 2-day, 0-hour, 0-minute period from Tuesday, 04 August 2020 at 12:22 UTC to Thursday, 06 August 2020 at 12:23 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:
[3855] covid,19 [403] î,î [387] ø,ø [374] ãƒ,ム[290] àª,ઠ[243] ø,ù [191] ù,ø [176] 19,economic [173] country,depends [173] depends,imports Top Word Pairs in Tweet in G1:
[459] covid,19 [42] ø,ø [41] î,î [35] ø,ù [34] ù,ø [23] during,covid [22] ãƒ,ム[20] 19,cases [19] àµ,ൠ[18] ç,æ Top Word Pairs in Tweet in G2:
[84] covid,19 [44] covid,cases [43] jee,neet [34] neet,exams [32] daily,covid [32] cases,crossing [32] crossing,50k [32] 50k,okay [32] okay,ask [32] ask,students Top Word Pairs in Tweet in G3:
[50] covid,19 [11] 160,000 [9] need,plan [9] retweet,minute [9] minute,hour [9] hour,day [9] day,until [9] until,trump [8] states,coming [8] coming,down Top Word Pairs in Tweet in G4:
[110] covid,19 [21] contra,covid [14] ãºltimas,24 [13] nuevos,casos [13] 24,horas [12] transmisiã,comunitaria [12] 19,venezuela [11] #covid,19 [10] jorgerpsuv,informã [10] casos,transmisiã Top Word Pairs in Tweet in G5:
[175] covid,19 [173] country,depends [173] depends,imports [173] imports,survive [173] survive,officially [173] officially,lost [173] lost,main [173] main,sea [173] sea,port [173] port,mid Top Word Pairs in Tweet in G6:
[53] covid,19 [51] correctly,address [51] address,pandemic [51] pandemic,canâ [51] canâ,agree [51] agree,numbers [50] drdavidsamadi,correctly [28] covid,deaths [22] big,admission [22] admission,cdc Top Word Pairs in Tweet in G7:
[33] covid,19 [8] face,masks [7] 50,million [7] million,face [7] masks,bought [7] bought,british [7] british,government [7] government,nhs [7] nhs,april [7] april,used 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:
[45] covid,19 [28] donald,trump [24] day,one [24] one,donald [24] trump,downplayed [24] downplayed,threat [24] threat,covid [24] 19,posed [24] posed,ignored [24] ignored,scientists Top Word Pairs in Tweet in G10:
[54] go,away [28] view,schools [28] schools,open [27] holy,shit [27] shit,trump [27] trump,view [27] open,thing [27] thing,going [27] going,away [27] away,go Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: