The graph represents a network of 16,759 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, 18 April 2020 at 11:31 UTC.
The tweets in the network were tweeted over the 2-day, 3-hour, 19-minute period from Thursday, 16 April 2020 at 07:28 UTC to Saturday, 18 April 2020 at 10:48 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 : 16759
Unique Edges : 27319
Edges With Duplicates : 7987
Total Edges : 35306
Self-Loops : 4081
Reciprocated Vertex Pair Ratio : 0.0116352085103239
Reciprocated Edge Ratio : 0.023002774937929
Connected Components : 2696
Single-Vertex Connected Components : 1547
Maximum Vertices in a Connected Component : 10683
Maximum Edges in a Connected Component : 27201
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.080433
Graph Density : 9.75191780536188E-05
Modularity : 0.702369
NodeXL Version : 1.0.1.431
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=225165
Data Import : The graph represents a network of 16,759 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, 18 April 2020 at 11:31 UTC.
The tweets in the network were tweeted over the 2-day, 3-hour, 19-minute period from Thursday, 16 April 2020 at 07:28 UTC to Saturday, 18 April 2020 at 10:48 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:
[2847] social,care [2751] don,t [2511] 10,years [2510] properly,funded [2506] voted,tory [2506] now,complaining [2505] t,mean [2505] mean,cruel [2505] cruel,never [2505] never,ceases Top Word Pairs in Tweet in G1:
[2232] don,t [2232] t,mean [2232] mean,cruel [2232] cruel,never [2232] never,ceases [2232] ceases,amaze [2232] amaze,nation [2232] nation,voted [2232] voted,tory [2232] tory,four Top Word Pairs in Tweet in G2:
[297] care,homes [269] died,care [253] people,died [249] criminal,negligence [246] #covid19uk,7 [246] 7,500 [246] 500,people [246] homes,result [246] result,virus [246] virus,include Top Word Pairs in Tweet in G3:
[207] #covid19,#covid19uk [73] covid,19 [70] #covid19uk,#covid19 [63] #covid_19,#covid19uk [55] #coronavirus,#covid19uk [48] #coronavirusuk,#covid19uk [46] #covid19uk,#coronavirusuk [43] #lockdownbookshelves,#covid19 [35] don,t [33] #covid19uk,#covid_19 Top Word Pairs in Tweet in G4:
[288] disabled,people [287] legal,action [192] #coronavirus,#covid19uk [166] exit,plan [155] #covid19uk,#coronavirus [144] supermarkets,facing [144] facing,mass [144] mass,legal [144] action,disabled [144] people,left Top Word Pairs in Tweet in G5:
[232] social,care [195] spectator,here [195] here,implying [195] implying,'mocking' [195] 'mocking',badges [195] badges,means [195] means,'look [195] 'look,down [195] down,carers' [195] carers',carer Top Word Pairs in Tweet in G6:
[268] listen,live [234] live,juliahb1 [125] face,masks [123] matt,hancock [123] #coronavirusuk,#covid19uk [86] juliahb1,#covid19uk [81] hancock,skynews [81] skynews,morning [81] morning,revealed [81] revealed,nhs Top Word Pairs in Tweet in G7:
[236] contact,tracing [235] wow,clip [235] clip,merkel [235] merkel,#newsnight [235] #newsnight,neanderthals [235] neanderthals,compared [235] compared,german [235] german,approach [235] approach,track [235] track,icu Top Word Pairs in Tweet in G8:
[108] during,#coronavirus [107] professionals,during [106] latest,updates [106] updates,pregnant [106] pregnant,women [106] women,healthcare [106] healthcare,professionals [106] clinical,guidance [106] #covidmaternity,#covid19uk [106] rcpchtweets,dhscgovuk Top Word Pairs in Tweet in G9:
[127] peterjukes,borisjohnson [127] borisjohnson,schofe [127] schofe,hollywills [127] hollywills,mvdct [127] mvdct,cereinynord [127] cereinynord,afneil [127] afneil,jeremyvineon5 [127] jeremyvineon5,fullfact [127] fullfact,peston [127] peston,jimrichards1010 Top Word Pairs in Tweet in G10:
[212] badgers,take [212] take,control [212] control,#covid19uk [7] social,care [4] don,t [3] t,mean [3] mean,cruel [3] cruel,never [3] never,ceases [3] ceases,amaze Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: