The graph represents a network of 5,332 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1078-day, 3-hour, 20-minute period from Sunday, 22 March 2020 at 21:39 UTC to Monday, 06 March 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 : 5332
Unique Edges : 2450
Edges With Duplicates : 11069
Total Edges : 13519
Number of Edge Types : 9
Retweet : 4033
MentionsInRetweet : 4988
Replies to : 1108
MentionsInReplyTo : 2147
Tweet : 412
Mentions : 205
Quote : 167
MentionsInQuoteReply : 86
MentionsInQuote : 373
Self-Loops : 568
Reciprocated Vertex Pair Ratio : 0.018074031231926
Reciprocated Edge Ratio : 0.0355063201249822
Connected Components : 407
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 3376
Maximum Edges in a Connected Component : 8932
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.765359
Graph Density : 0.000247705426638033
Modularity : 0.469036
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,332 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1078-day, 3-hour, 20-minute period from Sunday, 22 March 2020 at 21:39 UTC to Monday, 06 March 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:
[1092] makes,feel [1091] manufacturers,offering [1091] sick,local [1091] govt,parasites [1091] experienced,ppe [1091] local,experienced [1091] offering,help [1091] help,govt [1091] ppe,manufacturers [1091] feel,sick Top Word Pairs in Tweet in G1:
[907] actually,makes [907] makes,feel [907] help,govt [907] offering,help [907] feel,sick [907] experienced,ppe [907] manufacturers,offering [907] sick,local [907] ppe,manufacturers [907] local,experienced Top Word Pairs in Tweet in G2:
[489] matt,hancock [484] ppe,deals [483] million,firm [483] worth,over [483] over,90 [483] deals,worth [483] room,beijing [483] hancock,ppe [483] hotel,room [483] 90,million Top Word Pairs in Tweet in G3:
[22] michelle,mone [20] ppe,contracts [17] villa,bought [17] care,homes [17] matt,hancock [16] track,trace [15] mone,7m [15] ppe,police [15] yr,dailymirror [15] 7m,algarve Top Word Pairs in Tweet in G4:
[143] never,forget [141] old,news [140] ll,never [139] forget,100k [139] 100k,people [139] move,#partygate [139] talks,old [139] news,ll [139] #bbclaurak,talks [139] bbc,move Top Word Pairs in Tweet in G5:
[68] #torycriminals,conservatives [68] #torysleaze,#torycorruption [68] #torycorruption,#torycriminals [68] conservatives,#toriescostlives [67] #ppescandal,#partygate [67] #nhs,#ppescandal [67] #toriescostlives,#nhs [66] #partygate,#torylies [64] #johnsonliedpeopledied,#toriesdevoidofshame [64] #ppe,#johnsonliedpeopledied Top Word Pairs in Tweet in G6:
[196] ppe,contracts [195] peerage,donors [195] given,brother [195] donors,honours [195] brother,peerage [195] having,given [195] johnson,having [195] billions,ppe [195] boris,johnson [195] mates,billions Top Word Pairs in Tweet in G7:
[107] released,documents [107] documents,show [107] negotiations,ppe [107] michael,gove [107] company,affiliated [107] show,michael [107] ppe,company [107] gove,involved [107] involved,negotiations [106] stormysturgeon,released Top Word Pairs in Tweet in G8:
[129] members,congress [129] republican,members [129] millions,ppe [129] forgiveness,millions [129] joebiden,forgiveness [129] ppe,loans [129] loans,republican [129] congress,acceptable [129] senrickscott,joebiden [128] banashkelly,senrickscott Top Word Pairs in Tweet in G9:
[87] vip,lane [86] case,brought [86] law,project [86] court,case [86] project,ruled [86] use,vip [86] another,high [86] high,court [86] against,over [86] brought,campaign Top Word Pairs in Tweet in G10:
[53] matt,hancock [43] hancock,gave [35] gave,ppe [35] contract,sisters [35] company,owned [35] denied,confronted [35] ppe,contract [35] 20,denied [35] bladeofthes,matt [35] confronted,covered 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: