The graph represents a network of 5,435 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 11:18 UTC.
The tweets in the network were tweeted over the 1130-day, 6-hour, 19-minute period from Friday, 07 February 2020 at 17:41 UTC to Tuesday, 14 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 : 5435
Unique Edges : 2378
Edges With Duplicates : 10669
Total Edges : 13047
Number of Edge Types : 9
Retweet : 3774
MentionsInRetweet : 4600
Tweet : 504
Replies to : 1338
MentionsInReplyTo : 2486
Quote : 102
Mentions : 166
MentionsInQuote : 43
MentionsInQuoteReply : 34
Self-Loops : 691
Reciprocated Vertex Pair Ratio : 0.025190043225518
Reciprocated Edge Ratio : 0.0491421924978191
Connected Components : 542
Single-Vertex Connected Components : 131
Maximum Vertices in a Connected Component : 3432
Maximum Edges in a Connected Component : 8927
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.102099
Graph Density : 0.000232885789463526
Modularity : 0.48048
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,435 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 11:18 UTC.
The tweets in the network were tweeted over the 1130-day, 6-hour, 19-minute period from Friday, 07 February 2020 at 17:41 UTC to Tuesday, 14 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:
[1621] junior,doctors [1136] doctors,pay [1128] dr,emma [1128] emma,runswick [1128] 1b,increase [1128] pay,govt [1128] runswick,british [1128] around,1b [1128] medical,association [1128] increase,junior Top Word Pairs in Tweet in G1:
[964] junior,doctors [963] dr,emma [963] increase,junior [963] doctors,pay [963] british,medical [963] association,cost [963] runswick,british [963] pay,govt [963] around,1b [963] 1b,increase Top Word Pairs in Tweet in G2:
[81] twocitiesnickie,conservatives [66] ppe,contracts [53] track,trace [50] 25,8m [44] truss,kwarteng [40] vip,lane [38] contracts,truss [37] lane,ppe [37] truss,blew [37] wasted,69 Top Word Pairs in Tweet in G3:
[223] ppe,corruption [223] corruption,given [223] investigate,ppe [223] given,know [223] sure,confidence [223] confidence,police [223] police,investigate [223] know,home [222] home,secreta [222] jolyonmaugham,sure Top Word Pairs in Tweet in G4:
[197] michelle,mone [196] legal,fees [194] drs,demands [194] truss,johnsons [194] mone,mps [194] really,kwarteng [194] govt,drs [194] unaffordable,oh [194] fees,michelle [194] johnsons,legal Top Word Pairs in Tweet in G5:
[233] marcus,rashford [233] school,children [233] lineker,speak [233] rashford,feed [233] gary,lineker [233] feed,school [233] human,rights [233] children,war [233] war,hero [233] rights,marcus Top Word Pairs in Tweet in G6:
[225] junior,doctors [199] doctors,england [148] england,properly [148] properly,much [148] pay,junior [148] government,billion [148] cost,government [148] billion,pay [148] money,awarded [148] much,money Top Word Pairs in Tweet in G7:
[120] junior,doctors [96] full,cost [93] figures,stevebarclay [93] re,worth [93] wildly,inflated [93] cost,paying [93] despite,today [93] doctors,re [93] stevebarclay,full [93] inflated,figures Top Word Pairs in Tweet in G8:
[5] ppe,contracts [4] ใกล,เค [4] ส,ดส [3] ยงเด,ม [3] require,strict [3] ppe,labs [3] years,ago [3] pathogens,require [3] เค,ยงเด [3] patient,zeros Top Word Pairs in Tweet in G9:
[124] junior,doctors [107] ambulance,workers [106] strike,government [106] doctors,nurses [106] collapsing,junior [106] nurses,ambulance [106] workers,physios [106] physios,strike [106] nhs,collapsing [105] bladeofthes,nhs Top Word Pairs in Tweet in G10:
[13] michelle,mone [12] useless,ppe [12] junior,doctors [9] algarve,6m [9] partner,landed [9] private,jet [9] landed,7m [9] villa,algarve [9] 6m,private [9] 7m,villa 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: