The graph represents a network of 5,359 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1066-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Monday, 09 January 2023 at 01:00 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 : 5359
Unique Edges : 2805
Edges With Duplicates : 11001
Total Edges : 13806
Number of Edge Types : 9
Retweet : 3929
MentionsInRetweet : 5421
MentionsInReplyTo : 2356
Replies to : 1249
Tweet : 517
Quote : 89
Mentions : 188
MentionsInQuote : 30
MentionsInQuoteReply : 27
Self-Loops : 719
Reciprocated Vertex Pair Ratio : 0.0231729055258467
Reciprocated Edge Ratio : 0.0452961672473868
Connected Components : 518
Single-Vertex Connected Components : 110
Maximum Vertices in a Connected Component : 3661
Maximum Edges in a Connected Component : 10235
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.627048
Graph Density : 0.000259877558733478
Modularity : 0.486714
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,359 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1066-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Monday, 09 January 2023 at 01:00 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:
[1505] michelle,mone [1427] ppe,medpro [912] uk,health [911] referred,uk [867] health,watchdog [735] mone,ppe [729] breaking,michelle [727] carolvorders,breaking [717] safety,document [715] ppe,safety Top Word Pairs in Tweet in G1:
[672] ppe,medpro [661] michelle,mone [614] breaking,michelle [612] carolvorders,breaking [610] referred,uk [610] uk,health [606] health,watchdog [604] safety,document [602] document,knowingly [602] faking,ppe Top Word Pairs in Tweet in G2:
[262] pay,rise [261] rise,goodlawproject [261] money,nurses [261] nurses,pay [260] catofbengals,money [85] michelle,mone [84] ppe,medpro [64] mone,linked [59] dodgy,ppe [57] referred,uk Top Word Pairs in Tweet in G3:
[314] michelle,mone [312] ppe,medpro [279] dodgy,ppe [277] mone,linked [276] ppe,contract [275] goes,more [275] linked,ppe [275] longer,goes [275] used,fake [275] contract,longer Top Word Pairs in Tweet in G4:
[59] ppe,contracts [51] track,trace [44] dodgy,ppe [39] useless,ppe [26] chaos,promotion [26] work,perfectly [26] dead,useless [26] 200000,covid [26] covid,dead [26] cronies,chaos Top Word Pairs in Tweet in G5:
[181] gave,dido [181] includes,money [181] 'giving',nhs [181] money,'giving' [181] please,aware [181] boast,money [181] money,gave [181] nhs,please [181] tories,boast [181] aware,includes Top Word Pairs in Tweet in G6:
[64] company,millions [64] michelle,mone's [64] strike,fair [64] ppe,nurses [64] nurses,having [64] mone's,company [64] fair,wage [64] millions,pounds [64] paid,michelle [64] pounds,useless Top Word Pairs in Tweet in G7:
[41] comments,johnredwood [41] the_tpa,rishisunak [41] conservatives,lot [41] today,comments [41] jacob_rees_mogg,the_tpa [41] johnredwood,jacob_rees_mogg [41] lot,today [40] lordrennard,conservatives [25] michelle,mone [19] insists,patients Top Word Pairs in Tweet in G8:
[14] skynews,ridgeonsunday [13] vestameelz,nicholastyrone [13] chrismayhew9,vestameelz [12] nadhimzahawi,conservatives [11] ballot,box [11] pay,ballot [11] #sunakout,conservatives [10] michelle,mone [9] ppe,contracts [9] referred,uk Top Word Pairs in Tweet in G9:
[124] sewage,rivers [124] rivers,fast [124] yes,sewage [124] much,yes [124] hate,#tories [124] #tories,much [124] fast,lane [124] lane,ppe [124] ppe,fiasco [123] sen_j59,hate Top Word Pairs in Tweet in G10:
[129] ppe,contracts [128] contracts,paid [128] again,ppe [128] storage,costs [128] hit,1bn [128] sharing,again [128] 300m,unlawful [128] ppe,storage [128] lane,ppe [128] 1bn,uniserve 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 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: