The graph represents a network of 8,028 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, 12 August 2022 at 08:12 UTC.
The requested start date was Friday, 12 August 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, 3-hour, 25-minute period from Tuesday, 09 August 2022 at 08:55 UTC to Thursday, 11 August 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 : 8028
Unique Edges : 5746
Edges With Duplicates : 11111
Total Edges : 16857
Number of Edge Types : 5
Retweet : 4491
MentionsInRetweet : 6178
Replies to : 1856
Mentions : 2267
Tweet : 2065
Self-Loops : 2098
Reciprocated Vertex Pair Ratio : 0.0167115298340063
Reciprocated Edge Ratio : 0.0328736900165472
Connected Components : 1362
Single-Vertex Connected Components : 551
Maximum Vertices in a Connected Component : 3230
Maximum Edges in a Connected Component : 7647
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.634761
Graph Density : 0.0001406718443837
Modularity : 0.549978
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 8,028 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, 12 August 2022 at 08:12 UTC.
The requested start date was Friday, 12 August 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, 3-hour, 25-minute period from Tuesday, 09 August 2022 at 08:55 UTC to Thursday, 11 August 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:
[303] test,trace [281] unused,ppe [254] government,spending [254] million,week [235] forza,italia [229] failed,test [222] week,storing [222] storing,unused [220] spending,million [220] ppe,explain Top Word Pairs in Tweet in G1:
[51] ช,ด [24] forza,italia [24] nel,simbolo [23] ด,ppe [20] สมเด,จพระกน [20] จพระกน,ษฐาธ [20] ษฐาธ,ราชเจ [20] ราชเจ,า [20] า,กรมสมเด [20] กรมสมเด,จพระเทพร Top Word Pairs in Tweet in G2:
[129] track,trace [59] eddiemair,mpiainds [55] lbc,eddiemair [53] ppe,contracts [36] test,trace [33] 37,billion [24] ppe,track [23] mpiainds,ids [23] trace,ppe [22] dodgy,ppe Top Word Pairs in Tweet in G3:
[210] test,trace [208] failed,test [206] taxpayer,representing [206] representing,govt [206] govt,wasted [206] wasted,37bn [206] 37bn,failed [206] trace,run [205] mikegalsworthy,taxpayer [205] run,thei Top Word Pairs in Tweet in G4:
[17] wasted,ppe [16] breaking,tory [16] tory,scandal [16] scandal,millions [16] millions,wasted [16] ppe,debunked [16] debunked,msm [16] msm,creating [16] creating,lies [16] lies,more Top Word Pairs in Tweet in G5:
[191] staff,covid [191] covid,last [191] last,weeks [191] weeks,supplied [191] supplied,high [191] high,grade [191] grade,ppe [191] ppe,wear [191] wear,worksites [191] worksites,wear Top Word Pairs in Tweet in G6:
[93] refuse,share [88] michelle,mone [84] uk,gov [84] gov,refuse [84] share,files [84] files,relating [84] relating,200m [84] 200m,ppe [84] ppe,contact [84] contact,michelle Top Word Pairs in Tweet in G7:
[211] government,spending [211] million,week [210] concerned,government [210] spending,million [210] week,storing [210] storing,unused [210] unused,ppe [210] ppe,explain [210] explain,everything [209] liztruss_mp,concerned Top Word Pairs in Tweet in G8:
[58] ppetoheros,reutersfacts [58] reutersfacts,reutersfacts [58] reutersfacts,ve [58] ve,confused [58] confused,fact [58] fact,checking [58] checking,mean [58] mean,check [58] check,facts [58] facts,few Top Word Pairs in Tweet in G9:
[31] million,week [27] whiley,director [26] ppe,contracts [26] covid,contracts [25] contracts,castle [25] castle,industrial [25] industrial,supplies [25] supplies,direct [25] direct,winner [25] winner,supplying Top Word Pairs in Tweet in G10:
[179] partito,popolare [179] popolare,europeo [178] forza,italia [177] italia,messo [177] messo,nel [177] nel,simbolo [177] simbolo,scritta [177] scritta,partito [177] europeo,ipocrisia [177] ipocrisia,ppe Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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:
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Top Tweeters in G9:
Top Tweeters in G10: