The graph represents a network of 7,852 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, 02 February 2022 at 08:56 UTC.
The requested start date was Wednesday, 02 February 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-day, 1-hour, 29-minute period from Friday, 28 January 2022 at 10:51 UTC to Tuesday, 01 February 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 : 7852
Unique Edges : 3634
Edges With Duplicates : 12209
Total Edges : 15843
Number of Edge Types : 5
Retweet : 5672
MentionsInRetweet : 6640
Tweet : 1202
Replies to : 1131
Mentions : 1198
Self-Loops : 1229
Reciprocated Vertex Pair Ratio : 0.0102613053334924
Reciprocated Edge Ratio : 0.0203141608598087
Connected Components : 994
Single-Vertex Connected Components : 354
Maximum Vertices in a Connected Component : 3486
Maximum Edges in a Connected Component : 8115
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.531393
Graph Density : 0.000137348617231806
Modularity : 0.52908
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,852 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, 02 February 2022 at 08:56 UTC.
The requested start date was Wednesday, 02 February 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-day, 1-hour, 29-minute period from Friday, 28 January 2022 at 10:51 UTC to Tuesday, 01 February 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:
[724] fraud,written [713] 3bn,fraud [713] written,7bn [712] ppe,written [710] 12bn,trade [710] trade,lost [710] single,month [555] worth,ppe [550] 7bn,worth [546] lost,single Top Word Pairs in Tweet in G1:
[631] 3bn,fraud [631] fraud,written [631] written,7bn [631] ppe,written [631] 12bn,trade [631] trade,lost [631] single,month [484] lost,single [484] month,brexit [484] brexit,3bn Top Word Pairs in Tweet in G2:
[410] government,wasted [406] unusable,ppe [405] wasted,437 [405] 437,million [405] million,money [405] money,unusable [405] ppe,three [405] three,vip [405] vip,suppliers [396] revealed,government Top Word Pairs in Tweet in G3:
[361] aged,care [229] spoke,aged [229] care,worker [229] worker,electorate [229] electorate,resigned [229] resigned,job [229] job,burnt [229] burnt,paid [229] paid,little [228] alifrance5,spoke Top Word Pairs in Tweet in G4:
[49] track,trace [38] test,trace [37] front,line [37] adequate,ppe [37] ppe,during [36] workers,really [36] really,risk [36] risk,lives [36] lives,went [36] went,front Top Word Pairs in Tweet in G5:
[18] worth,7bn [16] ppe,contracts [15] 7bn,bought [15] bought,nhs [15] nhs,go [15] go,unused [15] unused,minister [14] personal,protective [14] protective,equipment [14] ppe,worth Top Word Pairs in Tweet in G6:
[214] #ppe,#corruption [214] #corruption,michael [214] michael,gove [214] gove,single [214] single,ppe [214] ppe,procurement [214] procurement,decision [214] decision,went [214] went,stage [214] stage,process Top Word Pairs in Tweet in G7:
[205] free,state [116] judge,modiba [116] modiba,yesterday [116] yesterday,ordered [116] ordered,free [116] state,treasury [116] treasury,department [116] department,health [116] health,officials [116] officials,held Top Word Pairs in Tweet in G8:
[210] love,think [210] think,nearly [210] nearly,ran [210] ran,body [210] body,bags [210] bags,doctors [210] doctors,nurses [210] nurses,left [210] left,suicidal [210] suicidal,enduring Top Word Pairs in Tweet in G9:
[180] level,waste [180] waste,really [180] really,staggering [180] staggering,437m [180] 437m,three [180] three,suppliers [179] jolyonmaugham,level [22] ppe,contracts [22] revealed,government [22] government,wasted Top Word Pairs in Tweet in G10:
[143] understimate,many [143] many,tory [143] tory,mp's [143] mp's,fast [143] fast,tracked [143] tracked,mates [143] mates,family [143] family,disguised [143] disguised,selves [143] selves,30 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: