The graph represents a network of 7,056 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, 21 December 2022 at 08:58 UTC.
The requested start date was Wednesday, 21 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, 49-minute period from Sunday, 18 December 2022 at 10:32 UTC to Tuesday, 20 December 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 : 7056
Unique Edges : 3984
Edges With Duplicates : 12897
Total Edges : 16881
Number of Edge Types : 5
Retweet : 5889
MentionsInRetweet : 7364
Replies to : 1129
Tweet : 1261
Mentions : 1238
Self-Loops : 1281
Reciprocated Vertex Pair Ratio : 0.00734639358860196
Reciprocated Edge Ratio : 0.014585635359116
Connected Components : 677
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 4567
Maximum Edges in a Connected Component : 12212
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.826272
Graph Density : 0.000181799627481515
Modularity : 0.493643
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,056 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, 21 December 2022 at 08:58 UTC.
The requested start date was Wednesday, 21 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, 49-minute period from Sunday, 18 December 2022 at 10:32 UTC to Tuesday, 20 December 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:
[1172] ppe,medpro [644] michelle,mone [444] health,minister [433] washing,ppe [432] health,crisis [432] global,health [432] minister,during [432] looting,looting [432] crisis,washing [432] during,global Top Word Pairs in Tweet in G1:
[262] useless,ppe [215] michelle,mone's [213] millions,pounds [212] nurses,having [212] fair,wage [212] mone's,company [212] pounds,useless [212] strike,fair [212] ppe,nurses [212] company,millions Top Word Pairs in Tweet in G2:
[432] washing,ppe [432] minister,during [432] looting,looting [432] during,global [432] crisis,washing [432] health,crisis [432] health,minister [432] looting,health [432] global,health [431] chimurengpapi,looting Top Word Pairs in Tweet in G3:
[452] ppe,medpro [245] portland,street [245] 85,great [245] medpro,shares [245] 12,804 [245] street,12 [245] office,85 [245] shares,office [245] 804,companies [245] companies,tight Top Word Pairs in Tweet in G4:
[91] track,trace [74] ppe,contracts [46] dodgy,ppe [31] rec777777,bbcnews [28] test,trace [24] useless,ppe [19] 37,billion [19] michelle,mone [19] anthonyainsdale,afford [17] faulty,ppe Top Word Pairs in Tweet in G5:
[274] millions,public [274] unions,causing [274] fooled,rishisunak [274] public,money [274] causing,problem [274] pocket,millions [274] rishisunak,unions [274] money,ppe [274] problem,pocket [273] stfcphil,fooled Top Word Pairs in Tweet in G6:
[172] burned,4bn [172] tory,mp [172] government,burned [170] zero_4,tory [167] oliver,dowden [167] public,finances [166] 4bn,unusable [165] risk,stability [165] mp,oliver [165] stability,public Top Word Pairs in Tweet in G7:
[77] ppe,suppliers [77] established,ppe [76] arcosafety,nothing [76] striking,established [76] nothing,bandits [76] suppliers,arcosafety [76] bandits,mates [75] mates,wit [75] jolyonmaugham,striking [57] sold,ppe Top Word Pairs in Tweet in G8:
[11] michelle,mone [11] ppe,medpro [10] 50,day [10] paid,50 [9] covid,tests [8] bought,taxpayers' [8] prisoners,paid [8] tests,ppe [8] taxpayers',money [8] ppe,scandal Top Word Pairs in Tweet in G9:
[130] ppe,story [130] mone,ppe [109] bbc,scotland [93] politicising,mone [70] mention,party [69] story,mention [69] mone,described [69] scotland,politicising [69] party,censored [69] censored,mone Top Word Pairs in Tweet in G10:
[161] ppe,medpro [154] mone,ppe [149] michelle,mone [82] mone,linked [82] linked,ppe [81] firm,122m [81] ppe,firm [81] medpro,first [81] ',here's [81] 122m,' Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: