The graph represents a network of 5,448 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 08:54 UTC.
The tweets in the network were tweeted over the 1812-day, 8-hour, 15-minute period from Wednesday, 21 March 2018 at 16:42 UTC to Wednesday, 08 March 2023 at 00:58 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 : 5448
Unique Edges : 1059
Edges With Duplicates : 10410
Total Edges : 11469
Number of Edge Types : 9
Retweet : 4561
MentionsInRetweet : 4917
Replies to : 525
MentionsInReplyTo : 1110
Tweet : 235
MentionsInQuote : 21
Mentions : 59
Quote : 36
MentionsInQuoteReply : 5
Self-Loops : 302
Reciprocated Vertex Pair Ratio : 0.0110281642348151
Reciprocated Edge Ratio : 0.0218157408961235
Connected Components : 277
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 4434
Maximum Edges in a Connected Component : 9610
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.700169
Graph Density : 0.000200807029263707
Modularity : 0.408374
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,448 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 08:54 UTC.
The tweets in the network were tweeted over the 1812-day, 8-hour, 15-minute period from Wednesday, 21 March 2018 at 16:42 UTC to Wednesday, 08 March 2023 at 00:58 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:
[3714] climate,change [3708] rail,workers [3707] nurses,refugees [3707] refugees,rail [3707] tough,nurses [3707] workers,climate [3706] change,protestors [3706] tax,evaders [3706] easy,tax [3706] protestors,easy Top Word Pairs in Tweet in G1:
[3594] refugees,rail [3594] protestors,easy [3594] climate,change [3594] tories,tough [3594] nurses,refugees [3594] tax,evaders [3594] evaders,ppe [3594] rail,workers [3594] easy,tax [3594] tough,nurses Top Word Pairs in Tweet in G2:
[32] greghands,conservatives [32] conservatives,cchqpress [28] last,year [28] year,gave [28] migrants,crossed [28] channel,last [28] crossed,channel [28] apparently,40 [28] 000,migrants [28] gave,each Top Word Pairs in Tweet in G3:
[101] 000,migrants [101] migrants,crossed [101] apparently,40 [101] each,million [101] million,still [101] year,gave [101] crossed,channel [101] last,year [101] channel,last [101] 40,000 Top Word Pairs in Tweet in G4:
[59] simunch1,thelastpersont2 [51] dodgy,ppe [49] mone,dodgy [49] michelle,mone [48] yacht,purchased [48] thelastpersont2,yacht [48] pandemic,netted [48] dealing,early [48] purchased,michelle [48] early,pandemic Top Word Pairs in Tweet in G5:
[299] small,boats [74] ppe,scandal [74] boats,parties [74] scandal,small [74] boats,brexit [74] 200k,covid [74] parties,small [74] deaths,small [74] shit,rivers [74] boats,shit Top Word Pairs in Tweet in G6:
[4] whoa,whoa [4] gt,gt [2] kimiversenshow,berniespofforth [2] nickhudsonct,kylenabecker [2] kingston_truth,shabnampalesamo [2] many,many [2] sophiadahl1,kingston_truth [2] kylenabecker,birb_k [2] kanny989,nickhudsonct [2] cillafallis,barbarasghost1 Top Word Pairs in Tweet in G7:
[48] michelle,mone [45] algarve,6m [45] partner,landed [45] private,jet [45] landed,7m [45] villa,algarve [45] 6m,private [45] 7m,villa [45] jet,villa [45] mone,partner Top Word Pairs in Tweet in G8:
[17] #toriesout242,#sunakout133 [16] #generalelectionnow,#strongertogether [16] #sunakout133,#generalelectionnow [16] usual,ppe [16] #strongertogether,#enoughisenough [16] greg,hands [16] questions,#toriesout242 [16] ppe,questions [15] dave43law,usual [14] ppe,deal Top Word Pairs in Tweet in G9:
[2] tablets,keep [2] ppe,ev [2] autel,trainer [2] stock,several [2] #ppe,#safety [2] making,electric [2] maxisys,tablets [2] safety,procedures [2] trainer,john [2] several,products 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 G6:
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: