The graph represents a network of 5,192 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1020-day, 0-hour, 0-minute period from Tuesday, 21 April 2020 at 01:00 UTC to Sunday, 05 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 : 5192
Unique Edges : 1431
Edges With Duplicates : 10574
Total Edges : 12005
Number of Edge Types : 9
Retweet : 4252
MentionsInRetweet : 4703
MentionsInReplyTo : 1539
Replies to : 799
Tweet : 390
Mentions : 144
Quote : 87
MentionsInQuote : 86
MentionsInQuoteReply : 5
Self-Loops : 533
Reciprocated Vertex Pair Ratio : 0.0157771064115475
Reciprocated Edge Ratio : 0.0310641110376735
Connected Components : 398
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 3665
Maximum Edges in a Connected Component : 8648
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.375963
Graph Density : 0.00022455007615112
Modularity : 0.460662
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,192 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1020-day, 0-hour, 0-minute period from Tuesday, 21 April 2020 at 01:00 UTC to Sunday, 05 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:
[1837] michelle,mone [1688] 000,000 [1505] mone,ppe [1241] 203,000 [1201] gave,michelle [1197] tory,cronies [1196] company,days [1196] 'firm',203 [1196] ppe,'firm' [1196] days,old Top Word Pairs in Tweet in G1:
[1022] gave,michelle [1022] michelle,mone [1022] old,employee [1022] ppe,'firm' [1022] 203,000 [1022] 000,000 [1022] company,days [1022] 000,company [1022] days,old [1022] cronies,gave Top Word Pairs in Tweet in G2:
[566] ppe,corruption [566] pregnant,women [566] women,fines [566] instead,chase [566] weren,issued [566] ignore,ppe [566] issued,right [566] fines,weren [566] corruption,instead [566] chase,pregnant Top Word Pairs in Tweet in G3:
[311] weeks,before [299] michelle,mone [224] mone,barrowman [224] thought,mone [224] business,weeks [224] ppe,business [224] barrowman,bad [224] before,203mill [224] hancock,pub [224] opening,ppe Top Word Pairs in Tweet in G4:
[453] 000,000 [418] unused,ppe [418] wasted,unused [418] ppe,enough [409] 000,wasted [408] money,give [408] household,uk [408] give,household [408] 14,900 [408] 900,000 Top Word Pairs in Tweet in G5:
[342] michelle,mone [278] mone,ppe [254] employee,contracts [254] old,zero [254] zero,employee [254] medpro,company [254] contracts,premises [254] company,less [254] ppe,medpro [254] weeks,old Top Word Pairs in Tweet in G6:
[48] michelle,mone's [47] criminal,fraud [47] trial,spain [47] doug,barrowman [47] fraud,last [47] spain,criminal [47] last,year [47] mone's,husband [47] barrowman,michelle [47] year,police Top Word Pairs in Tweet in G7:
[108] ppe,covid [107] stockpile,respirators [107] beijing,national [107] broke,february [107] respirators,ppe [107] 2020,year [107] february,2020 [107] covid,broke [107] sent,beijing [107] national,stockpile Top Word Pairs in Tweet in G8:
[75] plymouth,brethren [75] schools,canada [74] active,investigation [74] 11,religious [74] run,11 [74] under,active [74] pbcc,under [74] religious,schools [74] brethren,christian [74] investigation,related Top Word Pairs in Tweet in G9:
[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 [12] ppe,contracts [11] handed,billion [11] billion,ppe Top Word Pairs in Tweet in G10:
[36] labour,mps [35] many,labour [17] house,lords [17] greghands,many [17] millions,ppe [16] appointed,evgeny [16] lords,many [16] stole,millions [16] mps,appointed [16] lebedev,house 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: