The graph represents a network of 5,326 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 09:08 UTC.
The tweets in the network were tweeted over the 1266-day, 16-hour, 17-minute period from Friday, 16 August 2019 at 08:41 UTC to Friday, 03 February 2023 at 00:59 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 : 5326
Unique Edges : 3315
Edges With Duplicates : 10862
Total Edges : 14177
Number of Edge Types : 9
MentionsInRetweet : 4654
Replies to : 1365
MentionsInReplyTo : 3223
Retweet : 3607
Quote : 211
Tweet : 585
Mentions : 274
MentionsInQuote : 183
MentionsInQuoteReply : 75
Self-Loops : 773
Reciprocated Vertex Pair Ratio : 0.0242034732667852
Reciprocated Edge Ratio : 0.0472630173564753
Connected Components : 563
Single-Vertex Connected Components : 144
Maximum Vertices in a Connected Component : 3245
Maximum Edges in a Connected Component : 9878
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.409412
Graph Density : 0.000264095525714054
Modularity : 0.492189
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,326 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 09:08 UTC.
The tweets in the network were tweeted over the 1266-day, 16-hour, 17-minute period from Friday, 16 August 2019 at 08:41 UTC to Friday, 03 February 2023 at 00:59 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:
[811] raycasey2003,reminder [584] tax,haven [464] liz,truss [457] mills,given [457] fund,based [457] haven,operated [457] based,tax [457] reminder,ayanda [457] crony,andrew [457] operated,liz Top Word Pairs in Tweet in G1:
[663] raycasey2003,reminder [365] tax,haven [364] opaque,private [364] reminder,ayanda [364] private,fund [364] fund,based [364] operated,liz [364] ayanda,opaque [364] based,tax [364] andrew,mills Top Word Pairs in Tweet in G2:
[93] michelle,mone [90] #torylies,#torytaxevasion [89] mone,#torybrexitdisaster [89] #torybrexitdisaster,#torycriminals [89] #brexitbritain,conservatives [89] #torycorruption,michelle [89] #ppe,#torylies [89] #torycriminals,#ppe [89] #torysleaze,#torycorruption [89] #torytaxevasion,#brexitbritain Top Word Pairs in Tweet in G3:
[309] unusable,ppe [304] costing,24m [304] ppe,costing [304] big,beneficiary [304] 24m,month [304] 300m,ppe [304] uniserve,received [304] received,over [304] month,big [304] over,300m Top Word Pairs in Tweet in G4:
[136] ppe_fr,lesrepublicains [118] fabienne_keller,ppe_fr [116] ensemble_ue,fabienne_keller [113] aujourd,hui [113] députés,européens [113] sos,méditerranée [112] session,plénière [112] européens,réunis [112] hui,députés [112] contre,sos Top Word Pairs in Tweet in G5:
[175] 14,billion [175] ppe,losses [171] doesn,need [171] items,use [171] items,doesn [171] billion,items [171] losses,risen [171] government,ppe [171] risen,14 [171] icymi,government Top Word Pairs in Tweet in G6:
[242] test,trace [242] eu,divorce [242] 37,billion [242] billion,eu [241] perspective,defending [241] billion,profits [241] 32,billion [241] trace,37 [241] put,shell's [241] profits,perspective Top Word Pairs in Tweet in G7:
[122] 133,6m [118] tax,haven [116] non,dom [115] tax,evasion [115] javid,non [115] tax,non [115] johnson,800k [115] evasion,johnson [115] mone,133 [115] zahawi,7m Top Word Pairs in Tweet in G8:
[35] michelle,mone [28] ppe,medpro [20] mrmarkethomas,28 [17] carolvorders,michelle [17] reshare,article [17] noting,ppe [17] feel,obliged [17] mone,reason [17] daily,mail [17] reason,feel Top Word Pairs in Tweet in G9:
[11] covid,19 [10] never,ending [10] night,写真集電子書籍 [10] ヤングガンガンデジタル限定写真集,never [10] ppe,ヤングガンガンデジタル限定写真集 [10] dmm,ppe [10] ending,halloween [10] halloween,night [5] personal,protective [5] protective,equipment Top Word Pairs in Tweet in G10:
[20] repmtg,gopoversight [14] ppe,funds [13] ppe,loans [13] ppe,loan [11] 000,ppe [10] company,employees [9] gopoversight,buddy [9] 476,000 [9] gaetz,476 [9] buddy,mattie 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 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: