The graph represents a network of 7,351 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 Thursday, 02 June 2022 at 09:38 UTC.
The requested start date was Thursday, 02 June 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, 6-hour, 24-minute period from Monday, 30 May 2022 at 05:57 UTC to Wednesday, 01 June 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 : 7351
Unique Edges : 3991
Edges With Duplicates : 12414
Total Edges : 16405
Number of Edge Types : 5
Retweet : 5384
MentionsInRetweet : 6715
Tweet : 1416
Mentions : 1716
Replies to : 1174
Self-Loops : 1440
Reciprocated Vertex Pair Ratio : 0.0160867492850334
Reciprocated Edge Ratio : 0.0316641257183066
Connected Components : 969
Single-Vertex Connected Components : 365
Maximum Vertices in a Connected Component : 2931
Maximum Edges in a Connected Component : 7260
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.723012
Graph Density : 0.000157820167925693
Modularity : 0.51725
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,351 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 Thursday, 02 June 2022 at 09:38 UTC.
The requested start date was Thursday, 02 June 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, 6-hour, 24-minute period from Monday, 30 May 2022 at 05:57 UTC to Wednesday, 01 June 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:
[1217] tory,peer [933] vip,ppe [799] another,tory [595] ppe,deals [590] being,investigated [586] peer,being [586] investigated,looks [586] looks,profiting [586] profiting,vip [585] jolyonmaugham,another Top Word Pairs in Tweet in G1:
[842] tory,peer [526] vip,ppe [520] another,tory [517] ppe,deals [515] peer,being [515] being,investigated [515] investigated,looks [515] looks,profiting [515] profiting,vip [514] jolyonmaugham,another Top Word Pairs in Tweet in G2:
[14] ppe,rotterdam [14] congresso,ppe [13] ppe,contracts [12] festa,monza [11] dopo,notte [11] notte,festa [11] vertice,ppe [9] diserta,vertice [8] ด,ppe [8] lords,standards Top Word Pairs in Tweet in G3:
[579] according,reports [579] reports,tigray [579] tigray,ayder [579] ayder,hospital [579] hospital,#tigray [579] #tigray,35 [579] 35,53 [579] 53,staffers [579] staffers,tested [579] tested,positive Top Word Pairs in Tweet in G4:
[281] go,room [281] room,save [281] save,children [281] children,nurses [281] nurses,went [281] went,rooms [281] rooms,save [281] save,covid [281] covid,patients [281] patients,wearing Top Word Pairs in Tweet in G5:
[54] track,trace [48] ppe,contracts [27] lbc,danniboxall [20] test,trace [19] dodgy,ppe [15] failed,track [11] trace,system [11] trace,ppe [10] useless,ppe [10] ppe,track Top Word Pairs in Tweet in G6:
[203] assam,govt [146] thewire_in,exclusive [129] thewire_in,himantabiswa [102] ppe,kits [100] covid,19 [97] supply,orders [95] exclusive,assam [95] govt,placed [95] placed,four [95] four,covid Top Word Pairs in Tweet in G7:
[60] congrès,ppe [27] rotterdam,congrès [20] parlement,européen [19] élection,tête [19] notre,famille [18] cette,semaine [17] ppe,rotterdam [17] ppe,félicitations [17] félicitations,manfredweber [17] manfredweber,élection Top Word Pairs in Tweet in G8:
[135] always,partygate [135] partygate,media [135] media,distraction [135] distraction,great [135] great,400 [135] 400,billion [135] billion,ppe [135] ppe,track [135] track,trace [135] trace,furlough Top Word Pairs in Tweet in G9:
[160] tory,peer [125] second,tory [122] lords,standards [122] standards,watchdog [122] watchdog,investigates [121] investigates,second [121] peer,lord [121] lord,chadlington [121] chadlington,director [121] director,firm Top Word Pairs in Tweet in G10:
[214] vip,ppe [210] another,tory [191] nhs,staff [190] tory,politician [190] politician,under [190] under,investigation [190] investigation,over [190] over,ministers [190] ministers,unlawful [190] unlawful,vip Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: