The graph represents a network of 7,568 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 Wednesday, 18 May 2022 at 07:57 UTC.
The requested start date was Wednesday, 18 May 2022 at 00:01 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, 2-hour, 42-minute period from Sunday, 15 May 2022 at 09:39 UTC to Tuesday, 17 May 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 : 7568
Unique Edges : 3729
Edges With Duplicates : 12985
Total Edges : 16714
Number of Edge Types : 5
Retweet : 5884
MentionsInRetweet : 7186
Replies to : 1102
Mentions : 1563
Tweet : 979
Self-Loops : 1003
Reciprocated Vertex Pair Ratio : 0.0125124570922378
Reciprocated Edge Ratio : 0.0247156605424322
Connected Components : 775
Single-Vertex Connected Components : 235
Maximum Vertices in a Connected Component : 4554
Maximum Edges in a Connected Component : 11153
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.246858
Graph Density : 0.000159672954027879
Modularity : 0.50532
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,568 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 Wednesday, 18 May 2022 at 07:57 UTC.
The requested start date was Wednesday, 18 May 2022 at 00:01 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, 2-hour, 42-minute period from Sunday, 15 May 2022 at 09:39 UTC to Tuesday, 17 May 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:
[2139] financial,interest [1969] mone's,husband [1968] michelle,mone's [1881] ppe,contracts [1747] firm,awarded [1744] husband,admitted [1744] admitted,having [1744] having,financial [1744] interest,medpro [1744] medpro,firm Top Word Pairs in Tweet in G1:
[1497] ppe,contracts [1489] financial,interest [1489] firm,awarded [1486] michelle,mone's [1486] mone's,husband [1486] husband,admitted [1486] admitted,having [1486] having,financial [1486] interest,medpro [1486] medpro,firm Top Word Pairs in Tweet in G2:
[262] admits,financial [199] lady,mone [197] husband,lingerie [197] lingerie,baroness [197] baroness,reveals [197] reveals,little [197] little,more [197] more,lady [197] mone,spouse [197] spouse,admits Top Word Pairs in Tweet in G3:
[360] never,forget [360] forget,government [360] government,wrote [360] wrote,7bn [360] 7bn,unusable [360] unusable,ppe [360] ppe,much [360] much,procured [360] procured,corrupt [360] corrupt,back Top Word Pairs in Tweet in G4:
[243] pushed,lockdowns [243] lockdowns,free [243] free,face [243] face,coverings [243] coverings,free [243] free,ppe [243] ppe,working [243] working,home [243] home,constant [243] constant,fear Top Word Pairs in Tweet in G5:
[9] ppe,contracts [7] full,ppe [7] days,ppe [6] hold,hose [6] plucking,people [6] people,rooftops [6] doing,16 [6] 16,hour [6] hour,days [6] enough,vaccines Top Word Pairs in Tweet in G6:
[78] tory,peer [77] peer,put [77] put,forward [77] forward,ppe [77] ppe,medpro [77] medpro,apparently [77] apparently,without [77] without,telling [77] telling,ministers [77] ministers,spouse Top Word Pairs in Tweet in G7:
[227] financial,interest [225] michelle,mone's [225] mone's,husband [206] admits,financial [200] interest,ppe [198] husband,admits [198] ppe,firm [198] firm,won [198] won,200m [198] 200m,deal Top Word Pairs in Tweet in G8:
[199] govt,saying [199] saying,help [199] help,#costofliving [199] #costofliving,crisis [199] crisis,fein [199] fein,stop [198] mikegalsworthy,govt [48] ppe,contracts [46] financial,interest [45] withorpe,michelle Top Word Pairs in Tweet in G9:
[81] care,homes [80] moving,brexit [80] brexit,covid [80] covid,care [80] homes,russian [80] russian,money [80] money,partygate [80] partygate,ppe [80] ppe,lies [80] lies,incompetence Top Word Pairs in Tweet in G10:
[53] track,trace [41] ppe,contracts [18] failed,track [15] tomhfh,calcs [15] calcs,inc [15] inc,billion [15] billion,paid [15] paid,private [15] private,providers [15] providers,england 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 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: