The graph represents a network of 5,036 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1038-day, 15-hour, 43-minute period from Thursday, 30 April 2020 at 09:16 UTC to Sunday, 05 March 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5036
Unique Edges : 1745
Edges With Duplicates : 10525
Total Edges : 12270
Number of Edge Types : 9
MentionsInReplyTo : 1321
Replies to : 722
Quote : 168
Retweet : 4296
MentionsInRetweet : 4983
Tweet : 352
Mentions : 158
MentionsInQuoteReply : 40
MentionsInQuote : 230
Self-Loops : 465
Reciprocated Vertex Pair Ratio : 0.0155088852988691
Reciprocated Edge Ratio : 0.0305440661788101
Connected Components : 355
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 3737
Maximum Edges in a Connected Component : 9780
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.619401
Graph Density : 0.000247907222910634
Modularity : 0.437114
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,036 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1038-day, 15-hour, 43-minute period from Thursday, 30 April 2020 at 09:16 UTC to Sunday, 05 March 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : PPE
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1299] matt,hancock [1242] hotel,room [1224] ppe,deals [1218] room,beijing [1218] address,hotel [1218] 90,million [1218] million,firm [1218] worth,over [1218] gave,address [1218] deals,worth Top Word Pairs in Tweet in G1:
[1029] matt,hancock [1010] ppe,deals [1009] hotel,room [1008] hancock,ppe [1008] 90,million [1008] room,beijing [1008] gave,address [1008] over,90 [1008] address,hotel [1008] worth,over Top Word Pairs in Tweet in G2:
[709] pay,rise [708] strike,action [708] refusing,pay [708] staff,worked [708] worked,horrifying [708] action,refusing [708] partied,nhs [708] conditions,without [708] forced,strike [708] nhs,staff Top Word Pairs in Tweet in G3:
[233] company,affiliated [233] show,michael [233] negotiations,ppe [233] michael,gove [233] released,documents [233] involved,negotiations [233] ppe,company [233] documents,show [233] gove,involved [232] stormysturgeon,released Top Word Pairs in Tweet in G4:
[144] #partygate,#torylies [144] #torycorruption,#torycriminals [144] #torysleaze,#torycorruption [144] #toriescostlives,#nhs [143] #torycriminals,conservatives [143] #nhs,#ppescandal [143] #ppescandal,#partygate [143] conservatives,#toriescostlives [119] #ppe,#johnsonliedpeopledied [118] #michellemone,#ppe Top Word Pairs in Tweet in G5:
[189] vip,lane [188] good,law [188] group,good [188] another,high [188] over,use [188] against,over [188] brought,campaign [188] use,vip [188] campaign,group [188] law,project Top Word Pairs in Tweet in G6:
[21] information,request [21] ordered,court [21] freedom,information [21] enormous,consequences [21] court,reply [21] dhsc,ordered [21] consequences,dhsc [21] reply,freedom [20] michelle,mone [20] request,good Top Word Pairs in Tweet in G7:
[51] whatsapp,demonstrated [51] proven,whatsapp [51] run,run [51] contempt,doesn [51] run,isn [51] need,proven [51] going,run [51] isn,contempt [51] doesn,need [50] jemmaforte,going Top Word Pairs in Tweet in G8:
[28] full,ppe [20] virus,outbreak [20] medics,full [19] allowed,airport [19] outbreak,still [19] ppe,tell [19] still,standing [19] lol,mean [19] tell,virus [19] mean,team Top Word Pairs in Tweet in G9:
[19] michelle,mone [16] villa,bought [12] show,michael [12] michael,gove [12] gove,involved [11] three,months [11] bought,three [11] months,200m [11] ppe,deal [11] probe,raid Top Word Pairs in Tweet in G10:
[28] need,know [27] died,sudden [27] reports,teachers [27] illness,need [27] sudden,illness [27] first,wave [27] wave,having [27] teachers,deaths [27] deaths,first [27] having,died Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G2:
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 G9:
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: