The graph represents a network of 13,038 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 12 May) of 14266 tweet IDs, or who were replied to or mentioned in those tweets. 13187 out of 14266 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 09:23 UTC.
The tweets in the network were tweeted over the 23-hour, 54-minute period from Tuesday, 12 May 2020 at 00:00 UTC to Tuesday, 12 May 2020 at 23:54 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 : 13038
Unique Edges : 18852
Edges With Duplicates : 2699
Total Edges : 21551
Self-Loops : 2930
Reciprocated Vertex Pair Ratio : 0.011533826820451
Reciprocated Edge Ratio : 0.0228046289993193
Connected Components : 2337
Single-Vertex Connected Components : 1367
Maximum Vertices in a Connected Component : 7993
Maximum Edges in a Connected Component : 15153
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.657429
Graph Density : 0.000103708511168309
Modularity : 0.776956
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 13,038 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 12 May) of 14266 tweet IDs, or who were replied to or mentioned in those tweets. 13187 out of 14266 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 09:23 UTC.
The tweets in the network were tweeted over the 23-hour, 54-minute period from Tuesday, 12 May 2020 at 00:00 UTC to Tuesday, 12 May 2020 at 23:54 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 - 12 May
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:
[1495] care,homes [1229] #covid19uk,#borisresign [1227] shocking,#covid19uk [1226] difference,shocking [1226] #borisresign,#jacindaardern [807] #covid19,#covid19uk [645] don,t [465] excess,deaths [444] patients,#covid19uk [442] look,out Top Word Pairs in Tweet in G1:
[67] #covidー19,#covid19uk [60] #covid19,#covid19uk [60] #covid19uk,#covid19 [56] #covid19uk,#coronavirusuk [51] covid,19 [49] #coronavirusuk,#covid19uk [45] common,sense [40] #covid19uk,#coronavirus [39] #coronavirus,#covid19uk [31] back,work Top Word Pairs in Tweet in G2:
[1222] difference,shocking [1222] shocking,#covid19uk [1222] #covid19uk,#borisresign [1222] #borisresign,#jacindaardern [2] big,companies [2] companies,taxpayer [2] taxpayer,bailouts [2] bailouts,forced [2] forced,cancel [2] cancel,executive Top Word Pairs in Tweet in G3:
[63] #covid19,#covid19uk [44] care,homes [42] borisjohnson,matthancock [38] #covid19uk,#covid19 [37] #coronavirusuk,#covid19uk [37] deaths,today [36] #coronavirus,#covid19uk [34] #covid19uk,deaths [33] official,figure [32] death,toll Top Word Pairs in Tweet in G4:
[900] care,homes [385] look,out [385] out,skynews [385] skynews,journalists [385] journalists,over [385] over,next [385] next,few [385] few,hours [385] hours,emails [385] emails,nhsengland Top Word Pairs in Tweet in G5:
[341] watch,show [341] show,iromg [336] iromg,#covid19uk [289] mike,tears [289] tears,up [289] up,copy [289] copy,guardian [289] guardian,front [289] front,page [289] page,quotes Top Word Pairs in Tweet in G6:
[375] excess,deaths [316] deaths,causes [228] care,homes [188] new,ons [188] ons,stats [188] stats,show [158] show,excess [158] causes,care [158] homes,now [158] now,outnumber Top Word Pairs in Tweet in G7:
[246] don,t [244] piersmorgan,susannareid100 [233] t,know [232] classic,case [232] case,folk [232] folk,don [232] know,piersmorgan [232] susannareid100,having [232] having,more [232] more,guests Top Word Pairs in Tweet in G8:
[56] job,losses [28] businesses,want [28] want,extend [28] extend,brexit [28] brexit,transition [28] transition,period [28] period,avoid [28] avoid,extra [28] extra,economic [28] economic,damage Top Word Pairs in Tweet in G9:
[399] personal,first [399] first,hand [399] hand,experience [399] experience,covid19 [399] covid19,testing [399] testing,uk [399] uk,regional [399] regional,test [399] test,site [399] site,thread Top Word Pairs in Tweet in G10:
[230] absolutely,remarkable [230] remarkable,here [230] here,piers [230] piers,morgan [230] morgan,ones [230] ones,definition [230] definition,left [230] left,berating [230] berating,bbc [230] bbc,coverage Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: