The graph represents a network of 5,530 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 09:21 UTC.
The tweets in the network were tweeted over the 1099-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Saturday, 11 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 : 5530
Unique Edges : 2475
Edges With Duplicates : 11296
Total Edges : 13771
Number of Edge Types : 9
Retweet : 3645
MentionsInRetweet : 4490
Replies to : 1451
MentionsInReplyTo : 2934
Mentions : 225
Tweet : 671
MentionsInQuote : 176
MentionsInQuoteReply : 36
Quote : 143
Self-Loops : 884
Reciprocated Vertex Pair Ratio : 0.0276848189838759
Reciprocated Edge Ratio : 0.0538780343398461
Connected Components : 600
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 3302
Maximum Edges in a Connected Component : 9035
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.18703
Graph Density : 0.000220962166606651
Modularity : 0.459514
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,530 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 09:21 UTC.
The tweets in the network were tweeted over the 1099-day, 7-hour, 18-minute period from Friday, 07 February 2020 at 17:41 UTC to Saturday, 11 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:
[1238] matt,hancock [1236] ppe,contract [1223] company,owned [1223] sisters,company [1222] gave,ppe [1221] contract,sisters [1221] denied,confronted [1221] confronted,covered [1221] hancock,gave [1221] owned,20 Top Word Pairs in Tweet in G1:
[1156] matt,hancock [1154] ppe,contract [1154] sisters,company [1153] gave,ppe [1153] hancock,gave [1153] contract,sisters [1153] company,owned [1153] denied,confronted [1153] 20,denied [1153] confronted,covered Top Word Pairs in Tweet in G2:
[257] michelle,mone [249] baroness,michelle [247] expenses,fund [247] years,baroness [247] found,guilty [247] cocaine,habit [247] faking,expenses [247] mp,found [247] guilty,faking [247] labour,mp Top Word Pairs in Tweet in G3:
[261] #generalelectionnow,#enoughisenough [260] #greencard,infosys [260] #enoughisenough,#nondom [260] #nondom,#greencard [259] infosys,#russia [257] #russia,#moderna [255] #moderna,#gove [208] #gove,#michellemone [199] #ppe,#fraud [197] excludeduk,#pmqs Top Word Pairs in Tweet in G4:
[106] ppe,fraud [52] report,goodlawproject [52] ahem,sunak [52] soar,109m [52] hedge,fund [52] sees,pandemic [52] sunak,linked [52] linked,hedge [52] profits,soar [52] 109m,report Top Word Pairs in Tweet in G5:
[209] michelle,mone [202] baroness,michelle [201] high,life [201] mansions,millions [201] tory,baroness [201] covid,working [201] life,yachts [201] millions,contracted [201] contracted,covid [201] mone,living Top Word Pairs in Tweet in G6:
[15] ppe,fraud [10] never,ending [10] dmm,ppe [10] halloween,night [10] ppe,ヤングガンガンデジタル限定写真集 [10] ヤングガンガンデジタル限定写真集,never [10] night,写真集電子書籍 [10] ending,halloween [7] fraud,worth [7] personal,protective Top Word Pairs in Tweet in G7:
[128] michelle,mone [119] supposed,forget [119] happened,tory [119] hubby,supposed [119] anyone,know [119] tory,peer [119] peer,michelle [119] forget,medpro [119] know,happened [119] medpro,created Top Word Pairs in Tweet in G8:
[29] track,trace [16] ppe,contracts [16] toryboypierce,keir_starmer [10] unusable,ppe [10] dodgy,ppe [8] 37,billion [8] better,spent [7] michelle,mone [7] spent,nhs [7] useless,ppe Top Word Pairs in Tweet in G9:
[46] fighting,battle [44] battle,protect [43] ve,fighting [43] more,kids [43] doctors,years [42] year,more [42] protect,patients [42] nick_coatsworth,ve [41] fearful,doctors [41] patients,fearful Top Word Pairs in Tweet in G10:
[36] ppe,fraud [26] husband,wife [26] fraud,gosh [26] 29m,ppe [26] three,people [26] dodgy,ppe [26] arrested,over [26] over,29m [26] including,husband [26] people,including Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: