The graph represents a network of 6,438 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, 18 November 2021 at 10:59 UTC.
The requested start date was Thursday, 18 November 2021 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, 4-hour, 5-minute period from Monday, 15 November 2021 at 08:15 UTC to Wednesday, 17 November 2021 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 : 6438
Unique Edges : 3192
Edges With Duplicates : 13662
Total Edges : 16854
Number of Edge Types : 5
Retweet : 6450
MentionsInRetweet : 8247
Replies to : 657
Tweet : 708
Mentions : 792
Self-Loops : 722
Reciprocated Vertex Pair Ratio : 0.00741078554326759
Reciprocated Edge Ratio : 0.0147125396106836
Connected Components : 591
Single-Vertex Connected Components : 216
Maximum Vertices in a Connected Component : 4657
Maximum Edges in a Connected Component : 14051
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.055302
Graph Density : 0.000213216704085764
Modularity : 0.435674
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,438 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, 18 November 2021 at 10:59 UTC.
The requested start date was Thursday, 18 November 2021 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, 4-hour, 5-minute period from Monday, 15 November 2021 at 08:15 UTC to Wednesday, 17 November 2021 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:
[1953] vip,lane [1728] michael,gove [1107] ppe,vip [781] ppe,contracts [577] details,ppe [528] conservative,party [516] ten,tory [502] gove,referred [499] contracts,ppe [460] goodlawproject,revealed Top Word Pairs in Tweet in G1:
[830] vip,lane [562] ppe,vip [370] details,ppe [353] today,publish [353] publish,full [353] full,leaked [353] leaked,details [353] lane,goodness [353] goodness,tory [353] tory,vips Top Word Pairs in Tweet in G2:
[1162] michael,gove [390] gove,referred [388] tell,story [388] story,michaelgove [388] michaelgove,today [388] today,revealed [388] revealed,michael [388] referred,close [388] close,personal [387] angelarayner,tell Top Word Pairs in Tweet in G3:
[617] vip,lane [397] ppe,vip [380] goodlawproject,revealed [351] politicians,referred [351] referred,companies [351] companies,ppe [348] revealed,politicians [348] lane,share [348] share,everyone [348] everyone,knows Top Word Pairs in Tweet in G4:
[401] pcr,fraud [401] fraud,stories [401] stories,lobbying [401] lobbying,shocked [401] shocked,amount [401] amount,skimming [401] skimming,nhs [401] nhs,contracts [401] contracts,ppe [400] timspector,pcr Top Word Pairs in Tweet in G5:
[137] shouty,#pmqs [137] #pmqs,theatre [137] theatre,borisjohnson [137] borisjohnson,hide [137] hide,fact [137] fact,many [137] many,tentacled [137] tentacled,tory [137] tory,sleaze [137] sleaze,runs Top Word Pairs in Tweet in G6:
[34] vip,lane [33] ppe,contracts [21] won,164m [21] contracts,vip [20] backer,won [20] lane,referral [19] michael,gove [19] gove,backer [18] 164m,ppe [15] referred,companies Top Word Pairs in Tweet in G7:
[119] ppe,contracts [105] full,list [88] contracts,vip [87] scoop,e_casalicchio [87] lucrative,ppe [86] big,scoop [86] e_casalicchio,hands [86] hands,full [86] list,firms [86] firms,awarded Top Word Pairs in Tweet in G8:
[143] นอกจากเง,น [143] น,สปสช [143] สปสช,โคว [143] โคว,ด [143] ด,ค [143] ค,างจ [143] างจ,ายรพ [143] ายรพ,หลายเด [143] หลายเด,อนแล [143] อนแล,ว Top Word Pairs in Tweet in G9:
[10] vip,lane [8] cash,those [7] ppe,spending [7] spending,wasted [7] wasted,cash [7] those,need [7] need,national [6] michael,gove [6] politicians,referred [6] referred,companies Top Word Pairs in Tweet in G10:
[96] ppe,medpro [95] year,ago [95] ago,baroness [95] baroness,mone [95] mone,lawyer [95] lawyer,involvement [95] involvement,ppe [95] medpro,contract [95] contract,know [94] pickardje,year 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 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: