The graph represents a network of 7,314 Twitter users whose tweets in the requested range contained "PPE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 09:25 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 53-minute period from Wednesday, 14 December 2022 at 10:28 UTC to Friday, 16 December 2022 at 12:21 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7314
Unique Edges : 3864
Edges With Duplicates : 13331
Total Edges : 17195
Number of Edge Types : 5
Retweet : 6016
MentionsInRetweet : 7376
Replies to : 1148
Tweet : 905
Mentions : 1750
Self-Loops : 913
Reciprocated Vertex Pair Ratio : 0.0069274219332836
Reciprocated Edge Ratio : 0.0137595258255716
Connected Components : 629
Single-Vertex Connected Components : 260
Maximum Vertices in a Connected Component : 5380
Maximum Edges in a Connected Component : 13866
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.702549
Graph Density : 0.00017664012166481
Modularity : 0.496953
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,314 Twitter users whose tweets in the requested range contained "PPE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 09:25 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 53-minute period from Wednesday, 14 December 2022 at 10:28 UTC to Friday, 16 December 2022 at 12:21 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[793] ppe,tory [791] tory,mps [789] without,ppe [782] downing,stree [781] towards,deadly [781] ran,towards [781] deadly,virus [781] virus,without [780] booze,downing [780] nurses,paramedics Top Word Pairs in Tweet in G1:
[624] downing,stree [623] tory,mps [622] deadly,virus [622] nurses,paramedics [622] mps,wheeled [622] paramedics,ran [622] suitcases,booze [622] without,ppe [622] towards,deadly [622] ppe,tory Top Word Pairs in Tweet in G2:
[82] track,trace [50] ppe,contracts [39] dodgy,ppe [38] rec777777,bbcnews [29] test,trace [26] ppe,track [26] pay,nurses [25] useless,ppe [25] during,pandemic [23] 37,billion Top Word Pairs in Tweet in G3:
[330] unusable,ppe [327] steve,parkin [327] 5m,contract [327] ppe,executive [327] tories,awarded [327] contract,clipper [327] clipper,logistics [327] dispose,unusable [327] awarded,5m [327] chairman,steve Top Word Pairs in Tweet in G4:
[258] maria,caulfield [237] ways,find [166] health,minister [164] find,700m [164] 700m,ways [164] minister,increase [164] increase,pay [164] pay,find [164] caulfield,health [163] haggis_uk,maria Top Word Pairs in Tweet in G5:
[320] mone,ppe [311] michelle,mone [274] ppe,medpro [183] story,michelle [181] michael,cox [181] mins,produced [181] produced,michael [166] medpro,story [164] allegations,denials [164] denials,mins Top Word Pairs in Tweet in G6:
[60] unused,ppe [58] store,unused [58] 29,million [56] day,store [55] ppe,10 [55] million,burn [55] country,29 [55] mone,left [55] 10,million [55] whilst,mone Top Word Pairs in Tweet in G7:
[153] unused,ppe [136] ppe,covid [136] storing,unused [74] testing,kits [70] covid,testing [70] cost,storing [69] kits,exceeded [66] extra,nurses [66] eye,watering [66] tests,money Top Word Pairs in Tweet in G8:
[99] بخدمتكم,24 [99] الواتساب,في [99] منزلي,فندقي [99] الان,راحة [99] كاس,العالم [99] رابط,الواتساب [99] أفضل,مختص [99] البايو,اليوم [99] 24,ساعة [99] في,البايو Top Word Pairs in Tweet in G9:
[231] sold,ppe [229] high,prices [229] unusable,huge [229] transport,ppe [229] huge,sums [229] vip,sold [229] sums,transport [229] prices,much [229] sky,high [229] ppe,sky Top Word Pairs in Tweet in G10:
[203] tax,dodgers [201] quelle,surprise [201] times,bad [201] nao,good [201] surprise,tax [201] dodgers,good [201] according,nao [201] bad,tories [201] good,pandemic [201] good,times 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 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: