The graph represents a network of 3,421 Twitter users whose recent tweets were included in a list (Tweet ID List #Covid19uk April 2022) of 6213 tweet IDs, or who were replied to or mentioned in those tweets. 5477 out of 6213 tweets were collected. The network was obtained from Twitter on Sunday, 01 May 2022 at 12:54 UTC.
The tweets in the network were tweeted over the 29-day, 20-hour, 29-minute period from Friday, 01 April 2022 at 01:58 UTC to Saturday, 30 April 2022 at 22:28 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 : 3421
Unique Edges : 4532
Edges With Duplicates : 3022
Total Edges : 7554
Self-Loops : 1833
Reciprocated Vertex Pair Ratio : 0.0074468085106383
Reciprocated Edge Ratio : 0.0147835269271383
Connected Components : 278
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 2766
Maximum Edges in a Connected Component : 6181
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.927954
Graph Density : 0.000404707080963639
Modularity : 0.558022
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,421 Twitter users whose recent tweets were included in a list (Tweet ID List #Covid19uk April 2022) of 6213 tweet IDs, or who were replied to or mentioned in those tweets. 5477 out of 6213 tweets were collected. The network was obtained from Twitter on Sunday, 01 May 2022 at 12:54 UTC.
The tweets in the network were tweeted over the 29-day, 20-hour, 29-minute period from Friday, 01 April 2022 at 01:58 UTC to Saturday, 30 April 2022 at 22:28 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 : TwitterIDList
Graph Term : Tweet ID List #Covid19uk April 2022
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[634] covid,19 [491] within,28 [481] 28,days [452] #covid19uk,#coronavirusuk [449] #coronavirusuk,#covid19uk [419] times,more [388] #covid19uk,#covid19vaccines [388] 5,times [385] reported,today [384] data,shows Top Word Pairs in Tweet in G1:
[80] again,still [78] #wilfulnegligence,#covid19uk [77] big,calls [76] hey,conservatives [76] conservatives,well [76] well,worth [76] worth,reading [76] reading,again [76] still,believe [76] believe,borisjohnson Top Word Pairs in Tweet in G2:
[421] #coronavirusuk,#covid19uk [170] 7,day [159] apr,2022 [154] #covid19uk,#covidisnotover [141] uk,daily [138] patients,hospital [119] day,totals [117] record,levels [110] covid,patients [106] zoe,kings Top Word Pairs in Tweet in G3:
[248] within,28 [248] 28,days [228] out,control [227] 368,deaths [227] deaths,within [227] idea,60 [227] 60,day [227] day,figure [227] figure,#covid19uk [227] #covid19uk,out Top Word Pairs in Tweet in G4:
[269] #covid19uk,#covid19vaccines [265] mark,steyn [263] data,shows [263] triple,jabbed [262] #ukhsa,data [262] shows,jabs [262] jabs,below [262] below,zero [262] zero,effectiveness [262] effectiveness,young Top Word Pairs in Tweet in G5:
[292] #covid19uk,#coronavirusuk [292] #coronavirusuk,#dailycovidupdate [194] number,people [170] positive,virus [165] testing,positive [137] throughout,uk [118] 1,13 [116] covid,19 [96] within,28 [96] 28,days Top Word Pairs in Tweet in G6:
[338] fatalities,reported [158] covid,fatalities [141] 482,covid [141] reported,tuesday [141] tuesday,508 [141] 508,fatalities [140] reported,today [138] #c4news,482 [88] reporting,#covid19uk [86] government,lying Top Word Pairs in Tweet in G7:
[20] covid,19 [19] #covid19,#covid19uk [19] daily,update [19] update,2022 [19] number,daily [19] daily,cases [19] cases,covid19 [19] covid19,reading [19] cumulative,total [19] more,info Top Word Pairs in Tweet in G8:
[219] new,#covid19uk [219] reported,today [175] #covid19uk,positive [175] positive,tests [154] tests,reported [134] week,week [126] overall,england [126] england,down [126] day,1 [126] positives,down Top Word Pairs in Tweet in G9:
[112] times,more [112] #covid19uk,#covid19vaccines [111] #ukhsa,data [111] data,shows [111] shows,jabs [111] jabs,below [111] below,zero [111] zero,effectiveness [111] effectiveness,young [111] young,old Top Word Pairs in Tweet in G10:
[24] deaths,within [24] within,28 [24] 28,days [23] #uk,past [23] past,24 [23] bringing,total [23] days,positive [23] positive,test [23] new,#coronavirus [23] #coronavirus,cases Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: