The graph represents a network of 10,450 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 September 2021 at 05:06 UTC.
The requested start date was Monday, 13 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 5-day, 0-hour, 38-minute period from Tuesday, 07 September 2021 at 10:30 UTC to Sunday, 12 September 2021 at 11:09 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 : 10450
Unique Edges : 6033
Edges With Duplicates : 11076
Total Edges : 17109
Number of Edge Types : 5
Retweet : 5073
MentionsInRetweet : 6202
Replies to : 1052
Tweet : 2263
Mentions : 2519
Self-Loops : 2307
Reciprocated Vertex Pair Ratio : 0.0100096867936713
Reciprocated Edge Ratio : 0.0198209718670077
Connected Components : 2556
Single-Vertex Connected Components : 892
Maximum Vertices in a Connected Component : 2229
Maximum Edges in a Connected Component : 4757
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 12.298257
Graph Density : 8.59403225784295E-05
Modularity : 0.593592
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 10,450 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 September 2021 at 05:06 UTC.
The requested start date was Monday, 13 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 5-day, 0-hour, 38-minute period from Tuesday, 07 September 2021 at 10:30 UTC to Sunday, 12 September 2021 at 11:09 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 : healthcare
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:
[1016] healthcare,workers [436] healthcare,system [317] healthcare,worker [247] firing,healthcare [201] shared,someone [201] someone,facebook [201] facebook,reddit [201] reddit,healthcare [201] worker,perspective [201] perspective,working Top Word Pairs in Tweet in G1:
[93] healthcare,staff [90] î,î [87] suwailwin,aged [87] aged,25 [87] 25,healthcare [87] staff,participated [87] participated,cdm [87] cdm,abducted [87] yesterday,pretext [87] pretext,having Top Word Pairs in Tweet in G2:
[201] shared,someone [201] someone,facebook [201] facebook,reddit [201] reddit,healthcare [201] healthcare,worker [201] worker,perspective [201] perspective,working [201] working,frontline [200] inquisitivegyn,shared [200] frontline,sydne Top Word Pairs in Tweet in G3:
[69] #socialmedia,#100daysofcode [69] #100daysofcode,#bigdata [49] #bigdata,#womenwhocode [40] #womenwhocode,#python [35] #python,#flutter [29] #ai,trustworthiness [29] trustworthiness,#aerospace [29] #aerospace,#fintech [29] #fintech,#automotive [29] #automotive,#healthcare Top Word Pairs in Tweet in G4:
[185] breaking,response [185] response,texas [185] texas,extremist [185] extremist,abortion [185] abortion,law [185] law,giant [185] giant,salesforce [185] salesforce,vows [185] vows,help [185] help,relocate Top Word Pairs in Tweet in G5:
[196] tengok,orang [196] orang,jual [196] jual,supplement [196] supplement,meragukan [196] meragukan,kaya [196] kaya,terox [196] terox,kadang [196] kadang,rasa [196] rasa,macam [196] macam,dah Top Word Pairs in Tweet in G6:
[127] nhs,better [88] private,healthcare [87] 630,million [87] million,day [87] day,nhs [87] better,private [87] healthcare,providers [87] providers,more [87] more,enough [87] enough,money Top Word Pairs in Tweet in G7:
[130] healthcare,workers [123] firing,healthcare [122] instead,firing [122] workers,aren [122] aren,vaccinated [122] vaccinated,treat [122] treat,unvaccinated [121] samanthamarika1,instead [8] healthcare,system [5] imagine,paying Top Word Pairs in Tweet in G8:
[68] uk,position [68] position,800 [68] 800,more [68] more,covid [68] covid,patients [68] patients,uk [68] uk,hospital [68] hospital,weekend [68] weekend,year [68] year,ago Top Word Pairs in Tweet in G9:
[23] trans,healthcare [11] healthcare,crisis [11] crisis,bexwade [11] bexwade,photographed [11] photographed,six [11] six,young [11] young,people [11] people,between [11] between,waited [11] waited,17 Top Word Pairs in Tweet in G10:
[33] healthcare,worker [33] worker,fear [33] fear,going [33] going,work [33] work,hateful [33] hateful,anti [33] anti,vaxxer [33] vaxxer,protests [33] protests,outside [33] outside,workplace 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 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: