The graph represents a network of 6,849 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 Friday, 02 December 2022 at 09:10 UTC.
The requested start date was Friday, 02 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, 28-minute period from Tuesday, 29 November 2022 at 10:52 UTC to Thursday, 01 December 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 : 6849
Unique Edges : 3859
Edges With Duplicates : 13417
Total Edges : 17276
Number of Edge Types : 5
Retweet : 6097
MentionsInRetweet : 7930
Replies to : 923
Tweet : 1260
Mentions : 1066
Self-Loops : 1281
Reciprocated Vertex Pair Ratio : 0.00608811157848129
Reciprocated Edge Ratio : 0.0121025415337221
Connected Components : 716
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 4573
Maximum Edges in a Connected Component : 13009
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.799544
Graph Density : 0.00019378724365246
Modularity : 0.47844
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,849 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 Friday, 02 December 2022 at 09:10 UTC.
The requested start date was Friday, 02 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, 28-minute period from Tuesday, 29 November 2022 at 10:52 UTC to Thursday, 01 December 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:
[2486] michelle,mone [1245] tory,peer [1142] peer,michelle [728] corrupt,ppe [722] ppe,contracting [722] down,alone [722] won,go [722] mone,alleged [722] alleged,involvement [722] contracting,edge Top Word Pairs in Tweet in G1:
[633] michelle,mone [618] involvement,corrupt [618] go,down [618] ppe,contracting [618] edge,won [618] mone,alleged [618] alleged,involvement [618] contracting,edge [618] corrupt,ppe [618] down,alone Top Word Pairs in Tweet in G2:
[344] stole,taxes [343] rubbish,ppe [343] ppe,offshored [343] person,one [343] one,stole [343] pictured,person [343] taxes,rubbish [343] tell,pictured [342] offshored,mon [342] ameliaj75679765,tell Top Word Pairs in Tweet in G3:
[304] michelle,mone [278] tory,peer [274] peer,michelle [266] call,tory [232] thousands,call [232] 'made',covid [232] covid,ppe [232] ppe,kits [230] 29,million [229] repay,29 Top Word Pairs in Tweet in G4:
[255] michelle,mone [126] tory,peer [95] peer,michelle [71] ladyjules_cath,gov2uk [70] legitimate,companies [70] see,bottom [70] gov2uk,hugh [70] hugh,grant [70] tweet,think [70] grant,spot Top Word Pairs in Tweet in G5:
[238] michelle,mone [172] ppe,medpro [122] michael,gove [113] public,inquiry [112] medpro,scandal [95] inquiry,michelle [92] mone,michael [92] demanding,public [92] guardian,demanding [92] gove,ppe Top Word Pairs in Tweet in G6:
[103] tory,peer [103] michelle,mone [96] peer,michelle [95] unsafe,ppe [95] public,money [94] lords,kick [94] 29m,public [94] reportedly,pocketed [94] pocketed,29m [94] mone,reportedly Top Word Pairs in Tweet in G7:
[250] tory,peer [248] peer,michelle [239] michelle,mone [214] call,tory [209] made,covid [209] 29m,made [209] mone,kicked [209] thousands,back [209] repay,29m [209] kicked,lords Top Word Pairs in Tweet in G8:
[63] michelle,mone [54] unusable,ppe [45] ppe,contracts [45] tory,peer [44] ambulance,staff [44] hard,working [43] extremely,hard [43] working,ambulance [43] stevebarclay,spend [43] critical,extremely Top Word Pairs in Tweet in G9:
[149] targeted,black [148] soe's,abused [148] alternative,media [148] black,alternative [148] mkhwebane,refused [148] media,targeted [148] sold,soe's [148] abused,pp [148] engage,media [148] busisiwe,mkhwebane Top Word Pairs in Tweet in G10:
[70] michelle,mone [34] test,trace [33] useless,ppe [29] tory,peer [28] spun,record [28] nhs,budget [28] record,funding [28] funding,lying [28] ppe,added [28] true,cost Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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:
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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:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: