The graph represents a network of 5,060 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 12:18 UTC.
The tweets in the network were tweeted over the 860-day, 4-hour, 50-minute period from Tuesday, 27 October 2020 at 20:09 UTC to Tuesday, 07 March 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 : 5060
Unique Edges : 1883
Edges With Duplicates : 10859
Total Edges : 12742
Number of Edge Types : 9
Retweet : 4258
MentionsInRetweet : 4929
Replies to : 839
MentionsInReplyTo : 1891
Tweet : 351
Quote : 84
MentionsInQuote : 242
Mentions : 132
MentionsInQuoteReply : 16
Self-Loops : 454
Reciprocated Vertex Pair Ratio : 0.0143818849449204
Reciprocated Edge Ratio : 0.0283559577677225
Connected Components : 375
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 3440
Maximum Edges in a Connected Component : 9184
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.240998
Graph Density : 0.000258999146045048
Modularity : 0.462501
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,060 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 12:18 UTC.
The tweets in the network were tweeted over the 860-day, 4-hour, 50-minute period from Tuesday, 27 October 2020 at 20:09 UTC to Tuesday, 07 March 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:
[602] nhs,workers [560] last,year [559] 000,migrants [559] million,still [559] crossed,channel [559] apparently,40 [559] each,million [559] migrants,crossed [559] still,less [559] gave,each Top Word Pairs in Tweet in G1:
[464] 000,migrants [464] migrants,crossed [464] apparently,40 [464] each,million [464] million,still [464] year,gave [464] crossed,channel [464] last,year [464] channel,last [464] 40,000 Top Word Pairs in Tweet in G2:
[399] nhs,workers [397] bags,ppe [397] pleading,covid [397] covid,test [397] homes,pleading [397] test,kits [397] april,2020 [397] 2020,nhs [397] ppe,care [397] workers,using Top Word Pairs in Tweet in G3:
[202] michelle,mone [161] 7m,villa [161] 6m,private [159] private,jet [156] landed,7m [156] partner,landed [156] villa,algarve [156] mone,partner [156] algarve,6m [155] britain_people,michelle Top Word Pairs in Tweet in G4:
[352] ppe,contracts [352] boris,johnson [351] peerage,donors [351] given,brother [351] donors,honours [351] brother,peerage [351] having,given [351] johnson,having [351] billions,ppe [351] mates,billions Top Word Pairs in Tweet in G5:
[159] #toriesout242,#sunakout133 [158] #sunakout133,#generalelectionnow [157] usual,ppe [157] ppe,questions [157] #generalelectionnow,#strongertogether [157] questions,#toriesout242 [157] #strongertogether,#enoughisenough [156] dave43law,usual [130] sickening,discover [130] emily,thornberry Top Word Pairs in Tweet in G6:
[246] actually,makes [246] makes,feel [246] help,govt [246] offering,help [246] feel,sick [246] experienced,ppe [246] manufacturers,offering [246] sick,local [246] ppe,manufacturers [246] local,experienced Top Word Pairs in Tweet in G7:
[148] storage,costs [147] ppe,equipment [147] unused,ppe [147] pandemic,hit [147] start,pandemic [147] costs,unused [147] health,minister [147] equipment,start [147] 4bn,health [147] hit,4bn Top Word Pairs in Tweet in G8:
[160] ppe,medpro [159] braverman,looking [159] 70m,ppe [159] boat,ppe [159] looking,boat [159] much,100m [159] medpro,partners [159] 100m,profits [159] partners,made [159] made,much Top Word Pairs in Tweet in G9:
[18] ppe,contracts [13] track,trace [11] sue,gray [11] etc,etc [10] lying,queen [9] dodgy,ppe [8] political,scandal [8] biggest,political [6] ppe,vip [6] vip,lane Top Word Pairs in Tweet in G10:
[56] 昨年に引き続き入賞できたのは,社長をはじめ [56] kokoro777pp,第9回カバーガール大賞 [56] 社長をはじめ,ppeメンバーやいつも応援して下さっているファンのみなさんのおかげです [56] 6位にランクインしました,昨年に引き続き入賞できたのは [56] 第9回カバーガール大賞,6位にランクインしました [56] ppeメンバーやいつも応援して下さっているファンのみなさんのおかげです,今年も支えて頂いていることを忘れずに私らしく活動頑張っていきます [34] ppeメンバー,自撮りしてると写り込んでくれてかわいい [33] saki_miyamoto,ppeメンバー [11] また爆速で入荷して頂いているそうなので,getまだな方はチェックしてね [11] co,fqi43ogbm7 Top Replied-To in Entire Graph:
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: