The graph represents a network of 4,715 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 09:06 UTC.
The tweets in the network were tweeted over the 711-day, 13-hour, 3-minute period from Sunday, 28 February 2021 at 11:56 UTC to Friday, 10 February 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 : 4715
Unique Edges : 1723
Edges With Duplicates : 10620
Total Edges : 12343
Number of Edge Types : 9
Retweet : 4502
MentionsInRetweet : 5464
Replies to : 504
MentionsInReplyTo : 1117
Tweet : 309
MentionsInQuote : 179
Mentions : 125
Quote : 126
MentionsInQuoteReply : 17
Self-Loops : 407
Reciprocated Vertex Pair Ratio : 0.0107492379271619
Reciprocated Edge Ratio : 0.0212698412698413
Connected Components : 277
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 3735
Maximum Edges in a Connected Component : 10468
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.207457
Graph Density : 0.000283445309227585
Modularity : 0.418963
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,715 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 09:06 UTC.
The tweets in the network were tweeted over the 711-day, 13-hour, 3-minute period from Sunday, 28 February 2021 at 11:56 UTC to Friday, 10 February 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:
[1938] matt,hancock [1934] ppe,contract [1913] hancock,gave [1913] contract,sisters [1912] sisters,company [1912] owned,20 [1912] gave,ppe [1912] denied,confronted [1912] 20,denied [1912] company,owned Top Word Pairs in Tweet in G1:
[1701] matt,hancock [1697] gave,ppe [1697] hancock,gave [1697] contract,sisters [1697] company,owned [1697] denied,confronted [1697] ppe,contract [1697] 20,denied [1697] confronted,covered [1697] owned,20 Top Word Pairs in Tweet in G2:
[311] homes,offices [311] congrats,arrest [311] raided,homes [311] barrowman,michelle [311] dear,nca_uk [311] arrest,below [311] below,year [311] offices,barrowman [311] nca_uk,congrats [311] year,raided Top Word Pairs in Tweet in G3:
[268] michelle,mone [246] life,yachts [246] high,life [246] living,high [246] millions,contracted [246] tory,baroness [246] mone,living [246] mansions,millions [246] yachts,mansions [246] contracted,covid Top Word Pairs in Tweet in G4:
[82] #ppe,#torylies [82] #torycriminals,#ppe [82] #torycorruption,#brexit [82] #torybrexitdisaster,#torycriminals [82] conservatives,#toryhypocrisy [82] #torylies,#torytaxevasion [82] #torytaxevasion,#brexitbritain [82] #brexit,#torybrexitdisaster [82] #torysleaze,#torycorruption [82] #brexitbritain,conservatives Top Word Pairs in Tweet in G5:
[172] ppe,fraud [139] tory,donors [138] arrested,suspected [138] persons,arrested [138] unnamed,persons [138] fraud,worth [138] high,profile [138] profile,tory [138] wonder,high [138] three,unnamed Top Word Pairs in Tweet in G6:
[44] #greencard,infosys [44] #nondom,#greencard [44] #enoughisenough,#nondom [44] #generalelectionnow,#enoughisenough [44] need,#generalelectionnow [43] #moderna,#gove [43] infosys,#russia [43] #russia,#moderna [31] mara,jailed [31] jared,mara Top Word Pairs in Tweet in G7:
[139] michelle,mone [111] jailed,years [106] faking,expenses [106] guilty,faking [106] cocaine,habit [106] baroness,michelle [106] expenses,fund [106] habit,jailed [106] fund,cocaine [106] former,labour Top Word Pairs in Tweet in G8:
[119] ppe,fraud [94] including,husband [94] husband,wife [93] fraud,gosh [93] 29m,ppe [93] people,including [93] over,29m [93] wife,arrested [93] arrested,over [93] three,people Top Word Pairs in Tweet in G9:
[25] ppe,contracts [25] around,ppe [25] corruption,around [22] thoughts,penny [22] penny,corruption [22] pennymordaunt,thoughts [21] talk2joepublic,pennymordaunt [17] lying,brexit [17] strikes,inflation [17] nhs,strikes Top Word Pairs in Tweet in G10:
[4] irene,montero [4] villar,cañas [4] alcalde,pp [4] lega_gruppoid,idgroupep [3] pp,villar [3] saiz,alcalde [3] forza,italia [3] idgroupep,legasalvini [3] legasalvini,matteosalvinimi [3] mcampomenosi,ep_industry 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: