The graph represents a network of 8,392 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 Thursday, 23 September 2021 at 10:06 UTC.
The requested start date was Thursday, 23 September 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, 4-hour, 19-minute period from Monday, 20 September 2021 at 08:01 UTC to Wednesday, 22 September 2021 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 : 8392
Unique Edges : 5260
Edges With Duplicates : 11155
Total Edges : 16415
Number of Edge Types : 5
Retweet : 4782
MentionsInRetweet : 6252
Replies to : 1449
Mentions : 2180
Tweet : 1752
Self-Loops : 1796
Reciprocated Vertex Pair Ratio : 0.0175754844524561
Reciprocated Edge Ratio : 0.0345438441098317
Connected Components : 1493
Single-Vertex Connected Components : 594
Maximum Vertices in a Connected Component : 2112
Maximum Edges in a Connected Component : 4727
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.477001
Graph Density : 0.000128263986142491
Modularity : 0.569176
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,392 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 Thursday, 23 September 2021 at 10:06 UTC.
The requested start date was Thursday, 23 September 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, 4-hour, 19-minute period from Monday, 20 September 2021 at 08:01 UTC to Wednesday, 22 September 2021 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:
[552] tak,cukup [479] full,ppe [283] sanctions,zimbabwe [283] zimbabwe,very [283] very,peculiar [283] peculiar,stop [282] stop,purchase [282] purchase,brand [282] brand,cars [282] cars,mps Top Word Pairs in Tweet in G1:
[38] covid,19 [28] full,ppe [25] mpumalanga,company [24] ด,ppe [24] single,mpumalanga [24] company,robbed [24] robbed,saps [23] vie,rose [23] rose,single [23] masks,find Top Word Pairs in Tweet in G2:
[125] read,see [125] see,keep [125] keep,breakfast [125] breakfast,down [125] down,disgusting [125] disgusting,beyond [125] beyond,belief [124] poplak,read [108] single,mpumalanga [108] mpumalanga,company Top Word Pairs in Tweet in G3:
[260] full,ppe [227] shifts,full [226] hour,shifts [225] nurses,doctors [225] doctors,ones [225] ones,pulling [225] pulling,14 [225] 14,hour [221] ppe,ones [221] ones,frontline Top Word Pairs in Tweet in G4:
[161] taxpayer's,money [161] money,companies [160] kwasikwarteng,think [160] think,right [160] right,inject [160] inject,taxpayer's [160] companies,badly [160] badly,run [160] run,government [159] karmaunc,kwasikwarteng Top Word Pairs in Tweet in G5:
[280] sanctions,zimbabwe [280] zimbabwe,very [280] very,peculiar [280] peculiar,stop [280] stop,purchase [280] purchase,brand [280] brand,cars [280] cars,mps [280] mps,expansion [279] love_humans01,sanctions Top Word Pairs in Tweet in G6:
[208] interesting,fact [208] fact,building [208] building,opposite [208] opposite,#cfmmeu [208] #cfmmeu,#melbourne [208] #melbourne,hq [208] hq,nursing [208] nursing,midwifery [208] midwifery,union [208] union,whose Top Word Pairs in Tweet in G7:
[47] precautionary,principle [47] against,airborne [47] sighofthetimess,danaparish [45] ppe,protect [45] protect,against [45] airborne,transmission [45] flowermusickids,sighofthetimess [44] principle,followed [44] followed,means [44] means,people Top Word Pairs in Tweet in G8:
[190] largest,manufacturer [189] world,2nd [188] manufacturer,ppe [188] ppe,kits [187] building,world [187] world,class [187] class,defence [187] defence,infra [187] infra,promoting [187] promoting,idex Top Word Pairs in Tweet in G9:
[376] tak,cukup [188] laaaa,time [188] time,covid [188] covid,hospital [188] hospital,meratib [188] meratib,takda [188] takda,ppe [188] ppe,ventilator [188] ventilator,tak [188] cukup,rakyat Top Word Pairs in Tweet in G10:
[175] tak,cukup [161] cukup,flex [161] flex,dengan [161] dengan,jadi [161] jadi,ceo [161] ceo,ppe [161] ppe,pun [161] pun,buh [161] buh,nama [161] nama,dia 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 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: