The graph represents a network of 9,016 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 Tuesday, 29 September 2020 at 07:57 UTC.
The requested start date was Monday, 28 September 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, 21-hour, 30-minute period from Thursday, 24 September 2020 at 02:30 UTC to Monday, 28 September 2020 at 00:00 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 : 9016
Unique Edges : 6268
Edges With Duplicates : 12746
Total Edges : 19014
Number of Edge Types : 5
Retweet : 5549
MentionsInRetweet : 8318
Mentions : 2393
Tweet : 1418
Replies to : 1336
Self-Loops : 1446
Reciprocated Vertex Pair Ratio : 0.00927456382001837
Reciprocated Edge Ratio : 0.0183786734601037
Connected Components : 1321
Single-Vertex Connected Components : 331
Maximum Vertices in a Connected Component : 4016
Maximum Edges in a Connected Component : 9909
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 6.298522
Graph Density : 0.000135225181731522
Modularity : 0.573704
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,016 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 Tuesday, 29 September 2020 at 07:57 UTC.
The requested start date was Monday, 28 September 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, 21-hour, 30-minute period from Thursday, 24 September 2020 at 02:30 UTC to Monday, 28 September 2020 at 00:00 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:
[816] arnold,schwarzenegger [816] schwarzenegger,giving [816] giving,rapid [816] rapid,grants [816] grants,places [816] places,history [816] history,voter [816] voter,suppression [816] suppression,improve [816] improve,access Top Word Pairs in Tweet in G1:
[561] gtconway3d,realdonaldtrump [561] ppe,cleaning [561] cleaning,supplies [560] jentaub,gtconway3d [559] realdonaldtrump,spent [559] spent,more [559] more,ppe [559] supplies,due [559] due,covid [559] covid,family Top Word Pairs in Tweet in G2:
[791] arnold,schwarzenegger [791] schwarzenegger,giving [791] giving,rapid [791] rapid,grants [791] grants,places [791] places,history [791] history,voter [791] voter,suppression [791] suppression,improve [791] improve,access Top Word Pairs in Tweet in G3:
[494] parents,arrived [494] arrived,seoul [494] seoul,week [494] week,ago [494] ago,immediately [494] immediately,took [494] took,covid [494] covid,test [494] test,ppe [494] ppe,government Top Word Pairs in Tweet in G4:
[16] covid,19 [16] 300,million [15] full,ppe [10] र,क [9] healthcare,workers [9] during,pandemic [9] vending,machine [8] personal,protective [8] protective,equipment [7] enough,ppe Top Word Pairs in Tweet in G5:
[257] still,don [248] hospitals,still [248] don,enough [248] enough,ppe [248] ppe,people [248] people,being [248] being,evicted [248] evicted,going [248] going,without [248] without,food Top Word Pairs in Tweet in G6:
[355] #kdppe,#perthtanapon [152] #หน,งล [149] งล,านอาการง [71] #perthtanapon,#kdppe [68] เด,นทางปลอดภ [53] perthppe,#kdppe [42] ร,ธ [41] ว,นน [36] บ,#kdppe [33] #คนของแปลน,#planrathavit Top Word Pairs in Tweet in G7:
[101] ppe,tests [90] absolutely,disgusting [90] disgusting,300 [90] 300,million [90] million,went [90] went,towards [90] towards,buying [90] buying,ppe [90] tests,needed [90] needed,kids Top Word Pairs in Tweet in G8:
[20] aged,care [12] wake,jennymikakos [12] jennymikakos,resignation [12] resignation,minister [12] minister,health [12] health,recognition [12] recognition,role [12] role,poor [12] poor,inadequate [11] #peterdutton,resign Top Word Pairs in Tweet in G9:
[15] covid19,update [15] update,lady [15] lady,soon [15] soon,give [15] give,birth [15] birth,medical [15] medical,professional [15] professional,mother [15] mother,hospital [14] gerardbattenuk,covid19 Top Word Pairs in Tweet in G10:
[77] doesn,work [76] money,1bn [76] 1bn,brexit [76] brexit,border [76] border,15bn [76] 15bn,pals [76] pals,make [76] make,ppe [76] ppe,doesn [76] work,400m Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: