The graph represents a network of 17,916 Twitter users whose recent tweets contained "#Covid19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 25 April 2020 at 12:48 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 31-minute period from Thursday, 23 April 2020 at 07:29 UTC to Saturday, 25 April 2020 at 12:01 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 : 17916
Unique Edges : 28848
Edges With Duplicates : 4967
Total Edges : 33815
Self-Loops : 4578
Reciprocated Vertex Pair Ratio : 0.0212670528873108
Reciprocated Edge Ratio : 0.0416483677353243
Connected Components : 3473
Single-Vertex Connected Components : 2005
Maximum Vertices in a Connected Component : 10365
Maximum Edges in a Connected Component : 23637
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.436545
Graph Density : 8.51307403663837E-05
Modularity : 0.760637
NodeXL Version : 1.0.1.431
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=225566
Data Import : The graph represents a network of 17,916 Twitter users whose recent tweets contained "#Covid19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 25 April 2020 at 12:48 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 31-minute period from Thursday, 23 April 2020 at 07:29 UTC to Saturday, 25 April 2020 at 12:01 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 : TwitterSearch
Graph Term : #Covid19UK
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:
[1174] #covid19uk,crisis [1066] health,secretary [1061] need,consider [1059] crisis,first [1059] first,major [1059] major,issue [1059] issue,borisjohnson [1059] borisjohnson,became [1059] became,pm [1059] pm,health Top Word Pairs in Tweet in G1:
[998] #covid19uk,crisis [991] health,secretary [990] crisis,first [990] first,major [990] major,issue [990] issue,borisjohnson [990] borisjohnson,became [990] became,pm [990] pm,health [990] secretary,handled Top Word Pairs in Tweet in G2:
[138] #covid19,#covid19uk [93] during,#covid19uk [92] covid,19 [76] #covid19uk,#coronavirusuk [72] #covid19uk,#covid19 [68] essential,workers [66] #covid19uk,pandemic [65] #coronavirus,#covid19uk [64] #covid19uk,#coronavirus [60] workers,during Top Word Pairs in Tweet in G3:
[296] bbc,make [296] make,cup [296] cup,coffee [296] coffee,government [296] government,coffee [296] coffee,first [296] first,water [296] water,sugar [296] sugar,milk [296] milk,sky Top Word Pairs in Tweet in G4:
[118] listen,live [108] live,juliahb1 [74] coronavirus,pandemic [58] conservative,candidate [58] candidate,mayor [58] mayor,london [58] london,shaun [58] shaun,bailey [58] bailey,sadiq [58] sadiq,khan Top Word Pairs in Tweet in G5:
[85] yorkshire,bylines [80] death,rate [78] brexit,continues [78] continues,unseen [78] unseen,thread [78] thread,runs [78] runs,through [78] through,everything [78] everything,happening [78] happening,country Top Word Pairs in Tweet in G6:
[84] #covid19,#covid19uk [61] already,lost [56] come,out [56] out,lockdown [56] #covidiots,#covid19uk [56] fuck,sake [56] sake,stupid [56] stupid,wonder [56] wonder,#r4today [56] #r4today,chosen Top Word Pairs in Tweet in G7:
[78] sort,stupid [78] stupid,stupid [78] stupid,macho [78] macho,sh [78] sh,t [78] t,we've [78] we've,come [78] come,expect [78] expect,tories [78] tories,#covid19uk Top Word Pairs in Tweet in G8:
[291] brilliant,innovative [291] innovative,thinking [291] thinking,dtassoc [291] dtassoc,100s [291] 100s,design [291] design,technology [291] technology,teachers [291] teachers,returned [291] returned,school [291] school,put Top Word Pairs in Tweet in G9:
[33] 1,6 [32] month,lockdown [32] lockdown,citizensadvice's [32] citizensadvice's,data's [32] data's,painting [32] painting,interesting [32] interesting,picture [32] picture,housing [32] housing,problems [32] problems,people Top Word Pairs in Tweet in G10:
[30] during,#covid19uk [28] #bame,deaths [27] next,tuesday [27] #covid19uk,disproportionate [27] disproportionate,#bame [27] deaths,please [25] discuss,#covid19uk [22] #covid19uk,pandemic [20] #workersmemorialday,special [20] special,online Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: