The graph represents a network of 6,797 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 Sunday, 13 June 2021 at 08:11 UTC.
The requested start date was Sunday, 13 June 2021 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, 0-hour, 46-minute period from Wednesday, 09 June 2021 at 11:37 UTC to Friday, 11 June 2021 at 12:24 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 : 6797
Unique Edges : 2651
Edges With Duplicates : 13849
Total Edges : 16500
Number of Edge Types : 5
Retweet : 6512
MentionsInRetweet : 7657
Replies to : 641
Tweet : 769
Mentions : 921
Self-Loops : 781
Reciprocated Vertex Pair Ratio : 0.00628334321280379
Reciprocated Edge Ratio : 0.01248821866164
Connected Components : 540
Single-Vertex Connected Components : 195
Maximum Vertices in a Connected Component : 3648
Maximum Edges in a Connected Component : 10739
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.898943
Graph Density : 0.000183753123781456
Modularity : 0.456533
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,797 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 Sunday, 13 June 2021 at 08:11 UTC.
The requested start date was Sunday, 13 June 2021 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, 0-hour, 46-minute period from Wednesday, 09 June 2021 at 11:37 UTC to Friday, 11 June 2021 at 12:24 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:
[2050] matt,hancock [1695] shortage,ppe [1442] แล,วถ [1331] ช,ว [1328] น,อยากร [1328] อยากร,ว [1328] ว,า [1328] า,ถ [1328] ถ,าน [1328] าน,องย Top Word Pairs in Tweet in G1:
[1441] แล,วถ [1328] น,อยากร [1328] อยากร,ว [1328] ว,า [1328] า,ถ [1328] ถ,าน [1328] าน,องย [1328] องย,งม [1328] งม,ช [1328] ช,ว Top Word Pairs in Tweet in G2:
[199] shortage,ppe [177] matt,hancock [125] ppe,shortage [108] schools,vets [90] begged,schools [90] vets,charities [90] charities,local [90] local,businesses [90] businesses,ppe [90] ppe,failed Top Word Pairs in Tweet in G3:
[450] shortage,ppe [448] matt,hancock [443] national,shortage [432] hancock,national [429] davidschneider,matt [10] hancock,never [9] broke,law [9] never,national [6] davidschneider,earlier [6] earlier,hancock Top Word Pairs in Tweet in G4:
[368] shortage,ppe [355] matt,hancock [318] drrosena,matt [173] never,shortage [170] hancock,never [169] ppe,insulting [169] insulting,frontline [169] frontline,staff [169] staff,didn [169] didn,right Top Word Pairs in Tweet in G5:
[358] matt,hancock [337] haveigotnews,matt [336] ppe,never [336] never,crisis [334] hancock,insists [334] insists,ppe [334] crisis,coming [334] coming,bit [334] bit,surprise [334] surprise,nurses Top Word Pairs in Tweet in G6:
[176] matt,hancock [169] shortage,ppe [143] national,shortage [86] lewis_goodall,matt [73] hancock,repeating [73] repeating,national [62] nao,report [38] words,hancock [38] hancock,selectively [38] selectively,quoting Top Word Pairs in Tweet in G7:
[102] ppe,shortage [53] april,2020 [51] google,use [51] use,twitter [51] twitter,search [51] search,engine [51] engine,putting [51] putting,search [51] search,april [51] 2020,ppe Top Word Pairs in Tweet in G8:
[115] public,accounts [115] accounts,committee [114] 32bn,public [114] committee,told [114] told,yesterday [114] yesterday,total [114] total,spend [114] spend,ppe [114] ppe,12 [114] 12,5bn Top Word Pairs in Tweet in G9:
[23] shortage,ppe [19] ppe,kits [17] matt,hancock [10] national,shortage [9] wearing,ppe [9] time,conduct [9] conduct,exams [9] exams,doctors [9] doctors,already [9] already,under Top Word Pairs in Tweet in G10:
[103] matt,hancock [70] ppe,shortages [70] nhs,staff [64] huge,ppe [64] staff,forced [61] expired,ppe [61] ppe,nhs [59] clear,huge [59] shortages,expired [59] forced,make 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 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: