The graph represents a network of 8,497 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 Monday, 10 August 2020 at 07:53 UTC.
The requested start date was Monday, 10 August 2020 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 3-day, 19-hour, 48-minute period from Wednesday, 05 August 2020 at 11:19 UTC to Sunday, 09 August 2020 at 07:07 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 : 8497
Unique Edges : 5103
Edges With Duplicates : 12965
Total Edges : 18068
Number of Edge Types : 5
Replies to : 1023
Retweet : 5958
MentionsInRetweet : 7827
Tweet : 1314
Mentions : 1946
Self-Loops : 1345
Reciprocated Vertex Pair Ratio : 0.00844390832328106
Reciprocated Edge Ratio : 0.0167464114832536
Connected Components : 1268
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 4323
Maximum Edges in a Connected Component : 11209
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 8.918414
Graph Density : 0.000138965630275624
Modularity : 0.545208
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,497 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 Monday, 10 August 2020 at 07:53 UTC.
The requested start date was Monday, 10 August 2020 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 3-day, 19-hour, 48-minute period from Wednesday, 05 August 2020 at 11:19 UTC to Sunday, 09 August 2020 at 07:07 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:
[391] company,owned [356] ppe,contracts [248] 100,company [227] 50,million [225] jee,neet [219] reasons,postpone [219] postpone,jee [219] neet,_ [219] give,exams [218] liz,truss Top Word Pairs in Tweet in G1:
[239] company,owned [201] 100,company [196] ppe,contracts [192] petition,goodlawproject [188] signed,petition [180] goodlawproject,demanding [180] demanding,government [178] government,publishes [173] contracts,add [172] add,name Top Word Pairs in Tweet in G2:
[151] faulty,ppe [133] liz,truss's [114] company,owned [88] liz,trussâ [85] government,gave [85] supply,faulty [84] gave,more [84] more,money [84] money,dodgy [84] dodgy,company Top Word Pairs in Tweet in G3:
[53] àª,ઠ[26] ãƒ,ム[22] covid,19 [11] full,ppe [10] face,mask [10] next,month [10] face,shield [8] personal,protective [7] protective,equipment [7] क,र Top Word Pairs in Tweet in G4:
[207] jee,neet [201] reasons,postpone [201] postpone,jee [201] neet,_ [201] give,exams [200] _,give [194] exams,such [194] such,stressed [181] stressed,condition [177] condition,wearing Top Word Pairs in Tweet in G5:
[202] ppe,bill [168] paid,r300 [168] r300,000 [168] 000,towards [167] sundayindy,ledla [167] ledla,paid [167] towards,royal [167] royal,bhaca's [167] bhaca's,r4m [167] r4m,ppe Top Word Pairs in Tweet in G6:
[113] red,tape [112] failed,ppe [109] government,latest [109] latest,money [109] money,1bn [109] 1bn,brexit [109] brexit,red [109] tape,150m [109] 150m,pals [109] pals,make Top Word Pairs in Tweet in G7:
[62] aged,care [28] someone,mention [28] mention,aged [28] care,jenny [28] jenny,tell [28] tell,thing [28] thing,two [28] two,know [28] know,aged [28] care,profiteers Top Word Pairs in Tweet in G8:
[13] trump,plan [7] testing,plan [6] many,people [6] people,asking [6] asking,œwhy [6] œwhy,doesnâ [6] doesnâ,trump [6] plan,coronavirus [6] coronavirus,control [6] control,plan Top Word Pairs in Tweet in G9:
[134] ˆà,ˆà [96] µà,ˆà [89] #kdppe,#perthtanapon [73] ˆà,µà [52] ˆà,šà [52] ªà,ˆà [50] šà,ˆà [49] ˆà,ªà [38] šà,šà [36] #perthtanapon,#kdppe Top Word Pairs in Tweet in G10:
[104] companies,owned [104] owned,run [104] run,prominent [79] contracts,ppe [77] ppe,worth [77] 180m,awarded [77] awarded,companies [70] worth,over [70] over,180m [70] prominent,tory Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: