The graph represents a network of 5,772 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:55 UTC.
The tweets in the network were tweeted over the 1092-day, 5-hour, 24-minute period from Tuesday, 17 March 2020 at 18:35 UTC to Wednesday, 15 March 2023 at 00:00 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 : 5772
Unique Edges : 2632
Edges With Duplicates : 10911
Total Edges : 13543
Number of Edge Types : 9
Retweet : 3567
MentionsInRetweet : 4441
Replies to : 1528
MentionsInReplyTo : 2887
Tweet : 625
Quote : 120
Mentions : 236
MentionsInQuote : 108
MentionsInQuoteReply : 31
Self-Loops : 835
Reciprocated Vertex Pair Ratio : 0.0315388000586768
Reciprocated Edge Ratio : 0.0611490329920364
Connected Components : 662
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 2310
Maximum Edges in a Connected Component : 5874
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.583515
Graph Density : 0.000211106431865399
Modularity : 0.496411
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,772 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:55 UTC.
The tweets in the network were tweeted over the 1092-day, 5-hour, 24-minute period from Tuesday, 17 March 2020 at 18:35 UTC to Wednesday, 15 March 2023 at 00:00 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:
[992] ochoa,14 [992] 22,clínico [992] severo,ochoa [992] ramón,cajal [992] clínico,16 [992] niño,jesús [992] millones,paz [992] 30,millones [992] paz,22 [992] jesús,marañón Top Word Pairs in Tweet in G1:
[986] ochoa,14 [986] 14,ramón [986] 22,clínico [986] cajal,niño [986] jesús,marañón [986] ramón,cajal [986] 30,millones [986] clínico,16 [986] severo,ochoa [986] paz,22 Top Word Pairs in Tweet in G2:
[540] assesment,hard [540] white,elephant [540] paying,200b [540] billion,year [540] eu,divorce [540] pay,refugees [540] 45b,eu [540] hard,paying [540] refugees,waiting [540] 200b,white Top Word Pairs in Tweet in G3:
[43] ppe,contracts [40] track,trace [26] energy,prices [26] food,shortages [25] brexit,corruption [25] corruption,nhs [25] tory,lies [25] vote,tory [25] strikes,inflation [25] bullying,rwanda Top Word Pairs in Tweet in G4:
[163] dr,emma [163] increase,junior [163] doctors,pay [163] british,medical [163] association,cost [163] runswick,british [163] pay,govt [163] around,1b [163] junior,doctors [163] 1b,increase Top Word Pairs in Tweet in G5:
[135] michelle,mone [128] legal,fees [126] tory,govt [126] really,kwarteng [126] oh,really [126] truss,johnsons [126] govt,drs [126] kwarteng,truss [126] completely,unaffordable [126] johnsons,legal Top Word Pairs in Tweet in G6:
[102] michelle,mone [47] changing,subject [47] recently,useless [47] useless,dodgy [47] ppe,multi [47] dodgy,ppe [47] mone,recently [47] anyone,seen [47] seen,michelle [47] multi,million Top Word Pairs in Tweet in G7:
[11] protective,equipment [10] cost,living [8] personal,protective [8] equipment,ppe [7] living,crisis [6] ppe,contracts [5] ppe,fraud [4] call,app [4] read,more [4] wear,ppe Top Word Pairs in Tweet in G8:
[114] symptom,covid [114] especially,weakness [114] adults,especially [114] due,low [114] oxygen,level [114] covid,weakness [114] weakness,due [114] low,oxygen [114] older,adults [114] main,symptom Top Word Pairs in Tweet in G9:
[31] forza_italia,eppgroup [28] eppgroup,ppe_it [28] mov5stelle,europaverde_it [28] pdnetwork,mov5stelle [27] europaverde_it,forza_italia [27] ale_mussolini_,pdnetwork [24] mussolini,invece [24] noi,20000 [24] 20000,donne [24] ppe_it,mussolini Top Word Pairs in Tweet in G10:
[24] junior,doctors [16] stevebarclay,nhsengland [15] nhsengland,bma_juniordocs [14] figures,stevebarclay [14] re,worth [14] wildly,inflated [14] cost,paying [14] despite,today [14] doctors,re [14] full,cost 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 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: