The graph represents a network of 4,782 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 09:18 UTC.
The tweets in the network were tweeted over the 1092-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Saturday, 04 February 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 : 4782
Unique Edges : 1249
Edges With Duplicates : 10435
Total Edges : 11684
Number of Edge Types : 9
Retweet : 4427
MentionsInRetweet : 4825
Mentions : 100
Replies to : 659
MentionsInReplyTo : 1213
Tweet : 297
Quote : 52
MentionsInQuote : 62
MentionsInQuoteReply : 49
Self-Loops : 384
Reciprocated Vertex Pair Ratio : 0.0128250175685172
Reciprocated Edge Ratio : 0.0253252385082394
Connected Components : 273
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 3756
Maximum Edges in a Connected Component : 9755
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 3.547108
Graph Density : 0.000252156980995543
Modularity : 0.4161
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,782 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 09:18 UTC.
The tweets in the network were tweeted over the 1092-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Saturday, 04 February 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:
[3728] michelle,mone [2372] mone,ppe [2263] ppe,medpro [2057] weeks,old [2031] medpro,company [1936] less,weeks [1932] employee,contracts [1931] company,less [1931] zero,employee [1931] old,zero Top Word Pairs in Tweet in G1:
[2500] michelle,mone [1762] ppe,medpro [1760] medpro,company [1760] mone,ppe [1760] weeks,old [1759] less,weeks [1759] zero,employee [1759] old,zero [1759] contracts,premises [1759] company,less Top Word Pairs in Tweet in G2:
[966] michelle,mone [443] mone,ppe [302] gave,michelle [298] 203,000 [278] 000,000 [263] old,employee [262] tory,cronies [258] company,days [258] 'firm',203 [258] 000,company Top Word Pairs in Tweet in G3:
[222] ppe,medpro [109] michelle,mone [86] mone,ppe [82] weeks,old [82] medpro,company [76] 203,000 [75] 000,000 [70] govt,gave [70] medpro,weeks [70] 000,michelle Top Word Pairs in Tweet in G4:
[14] angelarayner,conservatives [12] conservatives,donations [12] michelle,mone [12] above,board [11] completely,transparent [11] transparent,monies [11] clean,money [11] ppe,contracts [11] money,completely [11] board,clean Top Word Pairs in Tweet in G5:
[38] long,19 [38] everyday,see [38] see,covid [38] major,outbreak [38] physician,see [38] 19,everyday [38] respiratory,physician [38] went,major [38] see,long [38] everyday,went Top Word Pairs in Tweet in G6:
[24] michelle,mone [20] experience,ppe [19] adviser,andrew [19] andrew,mills [19] controlled,liz [19] liz,truss [19] offshore,company [19] mills,zero [19] truss,adviser [19] company,controlled Top Word Pairs in Tweet in G7:
[78] minimisant,nombre [78] par,députée [78] rappelle,qu [78] interpellé,par [78] arrivées,migrants [78] migrants,lui [78] qu,immigration [78] immigration,légale [78] nombre,arrivées [78] ppe,minimisant Top Word Pairs in Tweet in G8:
[27] tons,ppe [26] 18,tons [26] ppe,china [18] china,healthcare [16] send,18 [16] many,china [16] trademarks,send [16] repandybiggsaz,many [16] china,trademarks [15] healthcare,worker Top Word Pairs in Tweet in G9:
[49] according,dhsc's [49] billion,according [49] 14,billion [49] staggering,14 [49] ppe,losses [49] accounts,#ppescandal [49] losses,rise [49] revealed,ppe [49] dhsc's,annual [49] rise,staggering Top Word Pairs in Tweet in G10:
[13] ppe,contracts [10] tory,donors [8] toryboypierce,much [8] track,trace [7] michelle,mone [6] tory,party [6] ppe,medpro [4] mates,ppe [4] mone,ppe [4] 41_mash,jrc1921 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: