The graph represents a network of 7,027 Twitter users whose recent tweets contained "healthcare", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1705-day, 10-hour, 56-minute period from Wednesday, 09 May 2018 at 14:04 UTC to Monday, 09 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 7027
Unique Edges : 4265
Edges With Duplicates : 10905
Total Edges : 15170
Number of Edge Types : 9
Replies to : 1577
MentionsInReplyTo : 3878
Retweet : 3384
MentionsInRetweet : 4243
Tweet : 1150
Quote : 177
MentionsInQuote : 99
Mentions : 495
MentionsInQuoteReply : 167
Self-Loops : 1526
Reciprocated Vertex Pair Ratio : 0.0272921645076091
Reciprocated Edge Ratio : 0.0531341821743389
Connected Components : 1242
Single-Vertex Connected Components : 371
Maximum Vertices in a Connected Component : 2855
Maximum Edges in a Connected Component : 7320
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.440061
Graph Density : 0.000165438898582026
Modularity : 0.548435
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,027 Twitter users whose recent tweets contained "healthcare", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1705-day, 10-hour, 56-minute period from Wednesday, 09 May 2018 at 14:04 UTC to Monday, 09 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[707] private,healthcare [323] rishi,sunak [203] uses,private [202] healthcare,system [157] know,healthcare [150] accident,sit [150] car,accident [150] wife,daughter [150] daughter,car [150] sit,hours Top Word Pairs in Tweet in G1:
[21] private,healthcare [13] healthcare,conference [12] link,bio [12] healthcare,system [12] morgan,healthcare [11] see,latest [10] job,opening [10] latest,job [10] healthcare,hiring [9] healthcare,marketing Top Word Pairs in Tweet in G2:
[136] private,healthcare [56] use,private [55] healthcare,professionals [53] pharmacists,prescribing [53] citizens,residents [53] volunteer,trial [53] database,parmamacists [53] uk,citizens [53] residents,work [53] painkillers,local Top Word Pairs in Tweet in G3:
[194] private,healthcare [159] rishi,sunak [79] uses,private [73] healthcare,nhs [47] sunak,use [47] nhs,imagine [47] people,rishi [47] imagine,fast [47] healthcare,banned [47] use,nhs Top Word Pairs in Tweet in G4:
[145] accident,sit [145] sit,hours [145] wife,daughter [145] car,accident [145] know,healthcare [145] daughter,car [145] healthcare,screwed [145] hours,emergency [145] screwed,wife [144] emergency,wait Top Word Pairs in Tweet in G5:
[76] 500,year [76] healthcare,unlimited [76] unlimited,paid [76] speaker,house [76] year,healthcare [76] meanwhile,minimum [76] house,makes [76] 223,500 [76] makes,223 [76] paid,leave Top Word Pairs in Tweet in G6:
[21] reason,healthcare [21] privatized,oligarchs [21] dollars,enrich [21] oligarchs,tax [21] being,privatized [21] tax,dollars [21] healthcare,being [20] enrich,canad [20] jordanmroberts,reason [16] healthcare,system Top Word Pairs in Tweet in G7:
[72] unfettered,capitalism [72] oligarchs,helm [72] capitalism,oligarchs [70] theocracy,unfettered [70] sides,same [70] both,sides [70] same,one [70] one,theocracy [69] helm,wa [69] dylanogline,both Top Word Pairs in Tweet in G8:
[32] working,accident [32] accident,emergency [32] emergency,departments [32] departments,liverpool [32] hospitals,current [32] liverpool,hospitals [32] several,doctors [32] doctors,working [32] spoke,several [32] current,crisis Top Word Pairs in Tweet in G9:
[21] abortion,healthcare [19] march_for_life,abortion [17] abortion,personal [17] personal,choice [16] life,abortion [15] intentionally,ends [15] healthcare,intentionally [15] ends,human [15] human,life [6] point,death Top Word Pairs in Tweet in G10:
[75] caught,fleeing [75] holocaust,jews [75] comparison,holocaust [75] illegals,crossing [75] southern,border [75] treatment,illegals [75] jews,caught [75] crossing,southern [75] border,comparison [74] carolinagirl_45,treatment Top Replied-To in Entire Graph:
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: