The graph represents a network of 5,510 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 09:09 UTC.
The tweets in the network were tweeted over the 1177-day, 8-hour, 35-minute period from Wednesday, 09 October 2019 at 16:25 UTC to Friday, 30 December 2022 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 : 5510
Unique Edges : 2625
Edges With Duplicates : 11101
Total Edges : 13726
Number of Edge Types : 9
Retweet : 3673
MentionsInRetweet : 4694
Quote : 296
Replies to : 1378
MentionsInReplyTo : 2269
Tweet : 634
Mentions : 206
MentionsInQuoteReply : 394
MentionsInQuote : 182
Self-Loops : 815
Reciprocated Vertex Pair Ratio : 0.0216294160057678
Reciprocated Edge Ratio : 0.0423429781227946
Connected Components : 537
Single-Vertex Connected Components : 143
Maximum Vertices in a Connected Component : 3340
Maximum Edges in a Connected Component : 9361
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.296676
Graph Density : 0.000233407863522452
Modularity : 0.48061
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,510 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 09:09 UTC.
The tweets in the network were tweeted over the 1177-day, 8-hour, 35-minute period from Wednesday, 09 October 2019 at 16:25 UTC to Friday, 30 December 2022 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:
[671] covid,ppe [650] lied,brexit [649] corbyn,lied [649] ppe,lying [649] lied,jeremy [649] jeremy,corbyn [649] lied,covid [649] brexit,lied [648] spitfirevc,lied [506] ppe,contracts Top Word Pairs in Tweet in G1:
[557] covid,ppe [551] corbyn,lied [551] brexit,lied [551] ppe,lying [551] lied,brexit [551] lied,covid [551] jeremy,corbyn [551] lied,jeremy [550] spitfirevc,lied [7] ppe,contracts Top Word Pairs in Tweet in G2:
[283] #generalstrikenow,force [282] force,#generalelectionn0w [275] public,inquiry [257] #ppe,profiteering [200] force,#michellemoon [198] back,penny [198] pay,back [181] #matthancock,michaelgove [179] #sunakout61,#toriesout175 [178] michaelgove,#didoharding Top Word Pairs in Tweet in G3:
[374] vip,lane [370] story,year [370] million,pound [370] multi,million [370] ppe,vip [370] pound,contracts [370] we've,uncovering [370] lane,multi [370] uncovering,story [370] contracts,we've Top Word Pairs in Tweet in G4:
[196] ppe,contracts [189] test,trace [184] 37,5bn [184] fraudulent,ppe [184] trace,12bn [184] divorce,37 [184] 42bn,brexit [184] 5bn,test [184] 12bn,fraudulent [184] brexit,divorce Top Word Pairs in Tweet in G5:
[192] posing,tory [192] down,sending [192] tory,minister [192] journo,posing [192] stand,down [192] pics,journo [192] sending,dick [192] minister,forced [192] forced,stand [192] dick,pics Top Word Pairs in Tweet in G6:
[73] finally,results [73] results,russia [73] still,news [73] report,covid [73] covid,enquiry [73] johnson,enquiry [73] enquiry,johnson [73] news,finally [73] russia,report [71] enquiry,unu Top Word Pairs in Tweet in G7:
[127] sars,cov [126] level,biohazards [125] include,hiv [125] rabies,monkeypox [125] tuberculosis,anthrax [125] monkeypox,west [125] anthrax,rabies [125] biohazards,include [125] cov,level [125] hiv,tuberculosis Top Word Pairs in Tweet in G8:
[148] gave,china [147] chinese,flights [147] waited,stop [147] flights,late [147] stop,chinese [147] money,vaccine [147] late,plus [147] china,money [147] remember,trudeau [147] plus,trudeau Top Word Pairs in Tweet in G9:
[28] ppe,contracts [23] track,trace [12] colossal,waste [12] taxpayers,money [12] baroness,mone [11] tess,away [11] away,look [11] tesswhite4ne,scottish [11] ministers,promote [11] waste,taxpayers Top Word Pairs in Tweet in G10:
[19] never,ending [19] dmm,ppe [19] halloween,night [19] ppe,ヤングガンガンデジタル限定写真集 [19] ヤングガンガンデジタル限定写真集,never [19] night,写真集電子書籍 [19] ending,halloween [5] branded,pitiful [5] #hat,#welding [5] #weld,#weldporn 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 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: