The graph represents a network of 746 Twitter users whose recent tweets contained "covid19uk since:2021-05-10", 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 Wednesday, 12 May 2021 at 16:05 UTC.
The tweets in the network were tweeted over the 2-day, 15-hour, 35-minute period from Monday, 10 May 2021 at 00:00 UTC to Wednesday, 12 May 2021 at 15:35 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 : 746
Unique Edges : 809
Edges With Duplicates : 515
Total Edges : 1324
Self-Loops : 546
Reciprocated Vertex Pair Ratio : 0.0159420289855072
Reciprocated Edge Ratio : 0.0313837375178317
Connected Components : 247
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 115
Maximum Edges in a Connected Component : 218
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.342415
Graph Density : 0.00126131313313061
Modularity : 0.573326
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 746 Twitter users whose recent tweets contained "covid19uk since:2021-05-10", 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 Wednesday, 12 May 2021 at 16:05 UTC.
The tweets in the network were tweeted over the 2-day, 15-hour, 35-minute period from Monday, 10 May 2021 at 00:00 UTC to Wednesday, 12 May 2021 at 15:35 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 since:2021-05-10
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:
[332] #covid19,#covid19uk [139] #greylit,#greyliterature [139] #greyliterature,#nglc [139] #nglc,#covid19 [119] sars,cov [119] cov,2 [106] boris,johnson [103] 2,inactivation [103] inactivation,testing [101] covid,19 Top Word Pairs in Tweet in G1:
[41] #covid19,#covid19uk [9] #covid19uk,#covid19 [8] #covid19,#covid_19 [8] #coronavirus,#covid19 [8] #covid19vaccination,#covid19uk [6] covid,19 [6] #covid19uk,#coronavirusuk [6] use,code [6] #ubereats,#ubereatspromocode [6] #ubereatspromocode,#ubereatsuk Top Word Pairs in Tweet in G2:
[98] boris,johnson [98] johnson,réautorise [98] réautorise,les [98] les,écoliers [98] écoliers,anglais [98] anglais,secondaire [98] secondaire,à [98] à,respirer [98] respirer,normalement [98] normalement,#covid Top Word Pairs in Tweet in G3:
[4] #covid19,#covid19uk [2] #wrongagainpanda,pandata19 [2] pandata19,lodged [2] lodged,complaint [2] complaint,press [2] press,council [2] council,over [2] over,dailymaverick [2] dailymaverick,piece [2] piece,one Top Word Pairs in Tweet in G4:
[14] calculate,turn [13] #ukvaccinequeue,#omnireports [10] vs,yesterday [10] 1st,dose [10] #omnireports,#covid19uk [9] non,priority [9] priority,#covid [9] 2nd,dose [9] yesterday,s [9] turn,#ukvaccinequeue Top Word Pairs in Tweet in G5:
[38] rolling,average [30] specimen,date [28] new,#covid19uk [28] reported,today [27] positive,tests [19] date,death [18] brings,rolling [18] allowing,4 [18] 4,days [18] days,lag Top Word Pairs in Tweet in G6:
[5] compared,previous [4] deaths,reported [4] reported,today [4] today,compared [2] 11,deaths [2] previous,wednesdays [2] wednesdays,05 [2] 05,05 [2] 05,27 [2] 27,28 Top Word Pairs in Tweet in G7:
[28] time,happened [23] #covid19uk,#coronavirusuk [23] #coronavirusuk,#dailycovidupdate [14] new,deaths [14] deaths,virus [14] virus,reported [14] reported,england [14] england,today [14] today,first [14] first,time Top Word Pairs in Tweet in G8:
[28] #covid19uk,#coronavirusuk [21] #covidvaccine,#propaganda [19] #coronavirusuk,#covidvaccine [19] #propaganda,#masksoff [5] here,go [5] go,told [5] told,coming [5] coming,welcome [5] welcome,#uk [5] #uk,#ccp Top Word Pairs in Tweet in G9:
[70] #covid19,#covid19uk [69] #greylit,#greyliterature [69] #greyliterature,#nglc [69] #nglc,#covid19 [60] sars,cov [60] cov,2 [52] 2,inactivation [52] inactivation,testing [51] testing,interim [51] interim,report Top Word Pairs in Tweet in G10:
[9] regular,#daily [9] #daily,mail [9] mail,'commentator' [9] 'commentator',#gmb [9] #gmb,#torycorruption [9] #torycorruption,done [9] done,'a [9] 'a,good [9] good,job' [9] job',#covid19uk Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G9:
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: