The graph represents a network of 9,684 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 Monday, 21 February 2022 at 08:22 UTC.
The requested start date was Monday, 21 February 2022 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, 9-minute period from Friday, 18 February 2022 at 12:08 UTC to Sunday, 20 February 2022 at 12:18 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 : 9684
Unique Edges : 4623
Edges With Duplicates : 11822
Total Edges : 16445
Number of Edge Types : 5
Retweet : 5418
MentionsInRetweet : 5974
Replies to : 384
Mentions : 1564
Tweet : 3105
Self-Loops : 3163
Reciprocated Vertex Pair Ratio : 0.00424403183023873
Reciprocated Edge Ratio : 0.00845219228737454
Connected Components : 2827
Single-Vertex Connected Components : 1170
Maximum Vertices in a Connected Component : 1464
Maximum Edges in a Connected Component : 3127
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.809612
Graph Density : 8.07506250495093E-05
Modularity : 0.534554
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,684 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 Monday, 21 February 2022 at 08:22 UTC.
The requested start date was Monday, 21 February 2022 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, 9-minute period from Friday, 18 February 2022 at 12:08 UTC to Sunday, 20 February 2022 at 12:18 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:
[6458] covid,19 [1552] positive,covid [969] queen,elizabeth [817] tests,positive [814] buckingham,palace [726] elizabeth,ii [650] experiencing,mild [591] 19,experiencing [508] tested,positive [479] symptoms,buckingham Top Word Pairs in Tweet in G1:
[1008] covid,19 [162] positive,covid [128] queen,elizabeth [97] tests,positive [83] elizabeth,ii [72] buckingham,palace [61] tested,positive [53] contra,covid [47] ii,tests [41] elizabeth,tests Top Word Pairs in Tweet in G2:
[181] covid,19 [159] positive,covid [147] buckingham,palace [144] mild,cold [144] cold,symptoms [131] queen,elizabeth [123] tests,positive [121] 19,experiencing [121] experiencing,mild [118] britain's,queen Top Word Pairs in Tweet in G3:
[170] covid,19 [157] positive,covid [152] 19,experiencing [152] experiencing,mild [144] tests,positive [140] queen,elizabeth [140] buckingham,palace [139] elizabeth,ii [139] ii,tests [139] symptoms,buckingham Top Word Pairs in Tweet in G4:
[154] covid,19 [127] positive,covid [121] queen,elizabeth [111] tests,positive [111] mild,cold [110] cold,symptoms [100] 19,experiencing [100] experiencing,mild [100] buckingham,palace [99] britain's,queen Top Word Pairs in Tweet in G5:
[142] covid,19 [77] isabel,ii [64] reina,isabel [62] positivo,covid [43] ii,positivo [40] positive,covid [38] queen,elizabeth [35] britain's,queen [35] elizabeth,tests [35] tests,positive Top Word Pairs in Tweet in G6:
[111] covid,19 [87] elizabeth,ii [86] positive,covid [72] reine,elizabeth [68] symptômes,légers [64] 95,ans [42] testée,positive [39] ii,95 [39] ans,été [39] été,testée Top Word Pairs in Tweet in G7:
[165] covid,19 [90] contra,covid [40] aún,vacunado [40] vacunado,contra [40] 19,tienes [40] tienes,dosis [40] dosis,completas [40] completas,acude [40] acude,centro [34] #jornadadevacunación,aún Top Word Pairs in Tweet in G8:
[127] covid,19 [113] positive,covid [102] tested,positive [69] experiencing,mild [67] buckingham,palace [53] 19,experiencing [47] queen,elizabeth [47] symptoms,buckingham [45] elizabeth,ii [44] ii,tested Top Word Pairs in Tweet in G9:
[58] pfizer,biontech [57] clinical,trial [54] trial,regional [54] regional,director [54] director,filed [54] filed,billion [54] billion,lawsuit [54] lawsuit,against [54] against,pfizer [54] biontech,alleging Top Word Pairs in Tweet in G10:
[53] 38,milliard [53] milliard,clients [52] autorités,indiennes [52] indiennes,pfizer [52] pfizer,pouvez [52] pouvez,soit [52] soit,perdre [52] perdre,38 [52] clients,soit [52] soit,autoriser Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: