The graph represents a network of 6,068 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 09:21 UTC.
The tweets in the network were tweeted over the 1178-day, 8-hour, 34-minute period from Wednesday, 09 October 2019 at 16:25 UTC to Saturday, 31 December 2022 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 : 6068
Unique Edges : 4668
Edges With Duplicates : 11643
Total Edges : 16311
Number of Edge Types : 9
Retweet : 3322
MentionsInRetweet : 5590
Replies to : 1753
MentionsInReplyTo : 3637
Tweet : 672
Quote : 290
Mentions : 363
MentionsInQuote : 324
MentionsInQuoteReply : 360
Self-Loops : 912
Reciprocated Vertex Pair Ratio : 0.0241989693031593
Reciprocated Edge Ratio : 0.0472544301028221
Connected Components : 601
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 2932
Maximum Edges in a Connected Component : 9650
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.773444
Graph Density : 0.000248325689436537
Modularity : 0.51684
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,068 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 09:21 UTC.
The tweets in the network were tweeted over the 1178-day, 8-hour, 34-minute period from Wednesday, 09 October 2019 at 16:25 UTC to Saturday, 31 December 2022 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:
[518] ppe,vip [495] vip,lane [444] test,trace [439] ppe,contracts [307] covid,ppe [288] #generalstrikenow,force [283] force,#generalelectionn0w [279] public,inquiry [277] jeremy,corbyn [277] lied,covid Top Word Pairs in Tweet in G1:
[285] #generalstrikenow,force [280] force,#generalelectionn0w [275] public,inquiry [269] inquiry,#tory [265] #tory,#ppe [264] #ppe,profiteering [153] claims,100k [153] taxpayer,cash [153] rich,wife [153] wife,claims Top Word Pairs in Tweet in G2:
[197] vip,lane [194] ppe,vip [190] pls,read [190] doctor_oxford,tonight [190] state,nhs [190] billions,went [190] nhs,right [190] right,doctor_oxford [190] heartbreaking,state [190] read,heartbreaking Top Word Pairs in Tweet in G3:
[264] covid,ppe [253] brexit,lied [253] lied,jeremy [253] corbyn,lied [253] lied,covid [253] ppe,lying [253] jeremy,corbyn [253] lied,brexit [252] spitfirevc,lied [17] still,news Top Word Pairs in Tweet in G4:
[204] test,trace [162] remember,50 [162] poured,pockets [162] failed,test [162] spivvy,vip [162] ppe,billions [162] 50,bn [162] trace,ppe [162] billions,poured [162] bn,spent Top Word Pairs in Tweet in G5:
[211] vip,lane [208] million,pound [208] multi,million [208] ppe,vip [208] pound,contracts [208] goodlawproject,ppe [208] lane,multi [207] story,year [207] we've,uncovering [207] uncovering,story Top Word Pairs in Tweet in G6:
[176] 2022,asda [176] 00,2021 [176] 14,565 [176] 00,aldiuk [176] 496,00 [176] orders,donations [176] public,information [176] information,food [176] aldiuk,51 [176] food,orders Top Word Pairs in Tweet in G7:
[126] comes,close [126] dias,still [126] union,boss [126] close,remember [126] 000,cash [126] taking,50 [126] unifor,union [126] jerry,dias [126] boss,jerry [126] still,charged Top Word Pairs in Tweet in G8:
[111] cement,stack [109] tower,crane [109] missing,labour [109] labour,ppe [104] missing,cloud [104] missing,sand [104] cloud,missing [103] hips,missing [103] sand,hips [103] ladder,missing Top Word Pairs in Tweet in G9:
[33] tory,donor [31] ppe,contract [30] company,millions [30] david,meller [30] michelle,mone's [30] strike,fair [30] ppe,nurses [30] lord,bethell [30] nurses,having [30] donor,david Top Word Pairs in Tweet in G10:
[21] never,ending [21] dmm,ppe [21] halloween,night [21] ppe,ヤングガンガンデジタル限定写真集 [21] ヤングガンガンデジタル限定写真集,never [21] night,写真集電子書籍 [21] ending,halloween [4] ppe,contracts [4] covid,ppe [3] anti,fog 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 G9:
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: