The graph represents a network of 8,384 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, 26 September 2021 at 08:14 UTC.
The requested start date was Sunday, 26 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, 5-hour, 11-minute period from Wednesday, 22 September 2021 at 07:10 UTC to Friday, 24 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 : 8384
Unique Edges : 6365
Edges With Duplicates : 11166
Total Edges : 17531
Number of Edge Types : 5
Retweet : 4484
MentionsInRetweet : 6343
Tweet : 1653
Replies to : 1763
Mentions : 3288
Self-Loops : 1697
Reciprocated Vertex Pair Ratio : 0.0189096761215047
Reciprocated Edge Ratio : 0.0371174728529121
Connected Components : 1397
Single-Vertex Connected Components : 476
Maximum Vertices in a Connected Component : 2832
Maximum Edges in a Connected Component : 7931
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.994673
Graph Density : 0.000144131434664666
Modularity : 0.57932
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,384 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, 26 September 2021 at 08:14 UTC.
The requested start date was Sunday, 26 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, 5-hour, 11-minute period from Wednesday, 22 September 2021 at 07:10 UTC to Friday, 24 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:
[547] industry,produced [547] produced,cost [547] cost,effective [508] ppe,contracts [440] effective,diagnostic [430] diagnostic,kits [421] india,always [421] always,seen [421] seen,humanity [421] humanity,one Top Word Pairs in Tweet in G1:
[523] industry,produced [523] produced,cost [523] cost,effective [416] effective,diagnostic [406] diagnostic,kits [397] india,always [397] always,seen [397] seen,humanity [397] humanity,one [397] one,family Top Word Pairs in Tweet in G2:
[35] covid,19 [23] full,ppe [21] plastic,waste [16] masks,find [16] find,life [15] life,fighting [14] fighting,plastic [14] ppe,waste [11] ppe,masks [11] hospital,masks Top Word Pairs in Tweet in G3:
[403] ppe,contracts [398] huge,thanks [398] thanks,goodlawproject [398] goodlawproject,dogged [398] dogged,pursuit [398] pursuit,truth [398] truth,behind [398] behind,government [398] government,awarding [398] awarding,ppe Top Word Pairs in Tweet in G4:
[121] test,trace [115] ppe,test [114] story,abingdon [114] abingdon,health [114] health,another [114] another,example [114] example,government [114] government,failings [114] failings,ppe [110] trace,lack Top Word Pairs in Tweet in G5:
[89] stealing,ppe [76] ppe,tender [75] ppe,funds [75] covid,19 [73] mpumalanga,company [73] 19,ppe [72] single,mpumalanga [72] company,robbed [72] hundreds,millions [72] millions,covid Top Word Pairs in Tweet in G6:
[127] hopping,mad [127] mad,friend [127] friend,doctor [127] doctor,#longcovid [127] #longcovid,horrendous [127] horrendous,complications [127] complications,work [127] work,due [127] due,ppe [126] doctorasadkhan,hopping Top Word Pairs in Tweet in G7:
[111] martinremains,apart [109] apart,dead [109] dead,people [109] people,apart [109] apart,massacre [109] massacre,care [109] care,homes [109] homes,apart [109] apart,unavailable [109] unavailable,ppe Top Word Pairs in Tweet in G8:
[118] fxbellamy,damienabad [97] republicains_an,ppe_fr [93] lesrep_senat,republicains_an [90] damienabad,lesrep_senat [76] brunoretailleau,fxbellamy [38] republicains_an,lesrep_senat [26] lesrep_senat,fxbellamy [21] ppe_fr,republicains_an [21] damienabad,fxbellamy [17] brunoretailleau,ppe_fr Top Word Pairs in Tweet in G9:
[100] kalau,vaksin [100] vaksin,dikatakan [100] dikatakan,berkesan [100] berkesan,sebanyak [100] sebanyak,90 [100] 90,99 [100] 99,makanya [100] makanya,lepas [100] lepas,frontliner [100] frontliner,tak Top Word Pairs in Tweet in G10:
[66] see,120 [66] 120,pts [66] pts,week [66] week,thus [66] thus,two [66] two,employer [66] employer,purchasing [66] purchasing,240 [66] 240,pair [66] pair,ppe Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: