The graph represents a network of 3,084 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, 17 November 2022 at 10:33 UTC.
The requested start date was Thursday, 17 November 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 4-hour, 36-minute period from Thursday, 03 November 2022 at 07:44 UTC to Thursday, 03 November 2022 at 12:20 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 : 3084
Unique Edges : 1348
Edges With Duplicates : 5413
Total Edges : 6761
Number of Edge Types : 5
Retweet : 2583
MentionsInRetweet : 3189
Replies to : 285
Mentions : 362
Tweet : 342
Self-Loops : 349
Reciprocated Vertex Pair Ratio : 0.00546448087431694
Reciprocated Edge Ratio : 0.0108695652173913
Connected Components : 290
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 2205
Maximum Edges in a Connected Component : 5302
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.075467
Graph Density : 0.000387043630334629
Modularity : 0.502934
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 3,084 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, 17 November 2022 at 10:33 UTC.
The requested start date was Thursday, 17 November 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 4-hour, 36-minute period from Thursday, 03 November 2022 at 07:44 UTC to Thursday, 03 November 2022 at 12:20 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:
[1641] ãƒ,ム[498] useless,ppe [482] test,trace [475] furlough,fraud [470] divorce,bill [470] eu,divorce [467] 3b,useless [467] fraud,3b [467] trace,37b [467] int,rates Top Word Pairs in Tweet in G1:
[365] data,showing [365] showing,need [365] utterly,sickening [365] pandemic,consumption [365] sickening,thing [365] need,ppe [365] weekly,nhs [365] consumption,data [365] thing,weekly [365] nhs,pandemic Top Word Pairs in Tweet in G2:
[350] year,go [350] aiannucci,rishisunak [349] business,fraud [349] tech,amazon [349] doesnâ,cuts [349] fraud,costs [349] costs,20bn [349] go,tech [349] rishisunak,doesnâ [349] cuts,business Top Word Pairs in Tweet in G3:
[271] useless,ppe [270] trace,37b [270] int,rates [270] furlough,fraud [270] divorce,bill [270] 7b,sunak [270] ppe,7b [270] error,hedge [270] sunak,error [270] bill,42billion Top Word Pairs in Tweet in G4:
[215] managers,bankers [215] people,really [215] asylum,seekers [215] really,angry [215] upset,hedge [215] hedge,fund [215] angry,desperate [215] come,people [215] fund,managers [215] never,upset Top Word Pairs in Tweet in G5:
[144] tory,vip [144] vip,lane [143] covid,contracts [99] lane,covid [99] 11,billion [99] daily,reminder [99] billion,unaccounted [99] reminder,incredible [99] incredible,20 [99] 20,11 Top Word Pairs in Tweet in G6:
[192] conservatives,donâ [192] donâ,process [192] applications,busy [192] 150,night [192] companies,charging [192] charging,150 [192] busy,running [192] process,asylum [192] asylum,applications [192] running,companies Top Word Pairs in Tweet in G7:
[168] eu,divorce [168] useless,ppe [168] divorce,bill [167] test,trace [166] 37b,furlough [166] fraud,3b [166] hedge,int [166] int,rates [166] rates,11 [166] 11,4b Top Word Pairs in Tweet in G8:
[161] ø,ø [89] ø,ù [86] ù,ø [63] ãƒ,ム[35] ù,ù [15] æ,ç [10] ùšø,ø [10] ø,ùšø [10] ø,ùšù [10] ù,ùšø Top Word Pairs in Tweet in G9:
[12] care,homes [9] matt,hancock [7] ppe,contracts [5] hopes,appearance [5] test,trace [5] #imaceleb,show [5] man,behind [5] ade,expect [5] pandemic,lied [5] expect,see Top Word Pairs in Tweet in G10:
[52] uk,gov [51] wasted,ppe [51] happened,eu [51] rises,pay [51] pay,happened [51] controlled,procurement [51] ppe,uk [51] eu,controlled [51] gov,tax [51] bn,wasted Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: