The graph represents a network of 5,388 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 10:35 UTC.
The tweets in the network were tweeted over the 1279-day, 16-hour, 12-minute period from Friday, 16 August 2019 at 08:48 UTC to Thursday, 16 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 : 5388
Unique Edges : 2322
Edges With Duplicates : 11562
Total Edges : 13884
Number of Edge Types : 9
Retweet : 4048
MentionsInRetweet : 4654
Replies to : 1017
MentionsInReplyTo : 3216
Tweet : 489
Mentions : 251
MentionsInQuoteReply : 9
Quote : 90
MentionsInQuote : 110
Self-Loops : 659
Reciprocated Vertex Pair Ratio : 0.0272229619766238
Reciprocated Edge Ratio : 0.0530030246291229
Connected Components : 455
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 3572
Maximum Edges in a Connected Component : 9999
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.607107
Graph Density : 0.000239206294016129
Modularity : 0.452389
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,388 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 10:35 UTC.
The tweets in the network were tweeted over the 1279-day, 16-hour, 12-minute period from Friday, 16 August 2019 at 08:48 UTC to Thursday, 16 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:
[1826] greg,hands [1672] ppe,deal [1512] carolvorders,greg [1500] hands,ppe [1495] take,place [1494] illegal,corruption [1494] deal,world [1494] place,one [1494] one,highest [1494] world,story Top Word Pairs in Tweet in G1:
[1289] greg,hands [1285] ppe,deal [1283] one,highest [1283] deal,world [1283] illegal,corruption [1283] world,story [1283] place,one [1283] take,place [1283] hands,ppe [1283] corruption,take Top Word Pairs in Tweet in G2:
[590] unusable,ppe [589] 122m,worth [589] worth,unusable [367] ppe,nhs [367] fund,dodged [367] 7m,tax [367] once,looted [367] looted,pension [367] sold,122m [367] never,once Top Word Pairs in Tweet in G3:
[369] 000,000 [286] 200,000 [286] creme,eggs [263] cream,eggs [263] 000,cream [262] eggs,jail [260] jail,zahawi [260] 334,000 [260] steals,334 [260] eggs,going Top Word Pairs in Tweet in G4:
[171] #greencard,infosys [171] #nondom,#greencard [170] infosys,#russia [170] #russia,#moderna [169] #generalelectionnow,#nondom [169] #torycorruption,#generalelectionnow [168] #moderna,#gove [160] #gove,#michellemone [142] #michellemone,#ppe [136] #ppe,#fraud Top Word Pairs in Tweet in G5:
[202] greg,hands [200] ppe,deal [150] tory,chairman [145] land,25m [145] helped,land [145] 25m,ppe [138] deal,firm [136] chairman,greg [135] investigation,found [135] icymi,latest Top Word Pairs in Tweet in G6:
[138] greg,hands [119] 200,000 [119] creme,eggs [112] 000,creme [104] hands,michelle [104] 'vip,lane' [104] guy,stealing [104] scandals,likes [104] likes,greg [104] lane',scandals Top Word Pairs in Tweet in G7:
[31] track,trace [13] ppe,contracts [11] dodgy,ppe [9] 37,billion [9] ppe,fraud [7] 000,000 [7] trace,ppe [6] unusable,ppe [6] creme,eggs [6] 200,000 Top Word Pairs in Tweet in G8:
[5] learn,more [4] halloween,night [4] night,写真集電子書籍 [4] #السلامة,#safety [4] #iso,#osha [4] #control,#ppe [4] #safety,#نيبوش [4] #hazard,#control [4] #الحريق,#hazard [4] #نيبوش,#اوشا Top Word Pairs in Tweet in G9:
[80] trace,contracts [80] record,nhs [80] spent,dodgy [80] reminder,record [80] dodgy,ppe [80] tests,test [80] nhs,funding [80] ppe,tests [80] funding,includes [80] test,trace Top Word Pairs in Tweet in G10:
[20] voter,résolution [20] industrie,européenne [20] ppe_fr,voter [20] groupe,droite [20] résolution,industrie [20] européenne,raisons [20] droite,ppe_fr [19] steph_sejourne,groupe [19] raisons,politique [9] peut,être 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: