The graph represents a network of 11,024 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 Tuesday, 29 September 2020 at 07:45 UTC.
The requested start date was Monday, 28 September 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, 1-minute period from Thursday, 24 September 2020 at 03:18 UTC to Saturday, 26 September 2020 at 03:19 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 : 11024
Unique Edges : 5609
Edges With Duplicates : 12479
Total Edges : 18088
Number of Edge Types : 5
Retweet : 5797
MentionsInRetweet : 6710
Tweet : 2665
Mentions : 2006
Replies to : 910
Self-Loops : 2691
Reciprocated Vertex Pair Ratio : 0.00371909866549989
Reciprocated Edge Ratio : 0.00741063644289451
Connected Components : 2906
Single-Vertex Connected Components : 742
Maximum Vertices in a Connected Component : 1952
Maximum Edges in a Connected Component : 3869
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 7.398156
Graph Density : 7.55117252526614E-05
Modularity : 0.566351
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,024 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 Tuesday, 29 September 2020 at 07:45 UTC.
The requested start date was Monday, 28 September 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, 1-minute period from Thursday, 24 September 2020 at 03:18 UTC to Saturday, 26 September 2020 at 03:19 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:
[3660] covid,19 [333] 19,cases [240] passed,million [200] united,states [198] survival,rates [184] 19,survival [174] 99,997 [172] 20,49 [171] 50,69 [170] 19,99 Top Word Pairs in Tweet in G1:
[316] covid,19 [31] protokol,kesehatan [19] penyebaran,covid [14] positif,covid [12] tahun,2020 [12] during,covid [12] 19,#pilkadasehatpatuhprokes [10] due,covid [10] covid,test [9] against,covid Top Word Pairs in Tweet in G2:
[46] covid,19 [20] joe,biden [17] wonderful,joe [17] biden,opened [17] opened,debate [17] debate,saying [17] saying,re [17] re,worst [17] worst,president [17] president,history Top Word Pairs in Tweet in G3:
[232] passed,million [145] covid,19 [131] 19,cases [116] holy,shit [116] shit,united [116] united,states [116] states,passed [116] million,covid [116] cases,passed [116] million,cases Top Word Pairs in Tweet in G4:
[54] covid,19 [27] 19,cases [24] surpasses,7m [24] 7m,covid [22] msnbc,surpasses [20] cnn,msnbc [19] united,states [18] president,needs [18] needs,speech [18] speech,know Top Word Pairs in Tweet in G5:
[104] covid,19 [78] 19,cases [72] nbc,news [72] news,confirms [72] confirms,surpassed [72] surpassed,000 [72] 000,000 [72] 000,covid [71] kylegriffin1,nbc [25] positive,covid Top Word Pairs in Tweet in G6:
[162] covid,19 [41] contra,covid [23] ministro,comunicación [20] lucha,contra [19] casos,covid [19] comunicación,información [16] información,luchaalmada [13] mippcivzla,#envideo [12] pandemia,covid [12] vtvcanal8,#envideo Top Word Pairs in Tweet in G7:
[122] doesn,radicalize [122] radicalize,don [122] don,know [121] breonna,taylor [121] taylor,killers [121] killers,walking [121] walking,free [121] free,doesn [121] know,1billion [121] 1billion,being Top Word Pairs in Tweet in G8:
[123] negative,covid [121] tested,negative [121] covid,yesterday [121] yesterday,positive [121] positive,today [121] today,symptoms [121] symptoms,covid [121] covid,courage [121] courage,challenge [120] ibra_official,tested Top Word Pairs in Tweet in G9:
[79] covid,19 [32] 200,000 [30] 000,people [30] people,we've [30] we've,lost [30] lost,covid [30] 19,nobodies [30] nobodies,mr [30] mr,president [30] president,parents Top Word Pairs in Tweet in G10:
[114] upon,arrival [114] arrival,iceland [114] iceland,take [114] take,covid [114] covid,test [114] test,quarantine [114] quarantine,days [114] days,take [114] take,another [114] another,test Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: