The graph represents a network of 7,170 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1781-day, 10-hour, 56-minute period from Thursday, 26 April 2018 at 13:04 UTC to Monday, 13 March 2023 at 00:00 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 : 7170
Unique Edges : 3881
Edges With Duplicates : 10998
Total Edges : 14879
Number of Edge Types : 9
Retweet : 3382
MentionsInRetweet : 4136
MentionsInReplyTo : 3826
Replies to : 1734
Mentions : 407
Tweet : 1051
Quote : 171
MentionsInQuote : 148
MentionsInQuoteReply : 24
Self-Loops : 1434
Reciprocated Vertex Pair Ratio : 0.0329110617735405
Reciprocated Edge Ratio : 0.0637248704008092
Connected Components : 1301
Single-Vertex Connected Components : 321
Maximum Vertices in a Connected Component : 2927
Maximum Edges in a Connected Component : 6919
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 9.51715
Graph Density : 0.000153866416558353
Modularity : 0.543889
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,170 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1781-day, 10-hour, 56-minute period from Thursday, 26 April 2018 at 13:04 UTC to Monday, 13 March 2023 at 00:00 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:
[267] united,states [262] people,don [260] report,53 [260] train,accident [260] good,evening [260] evening,lagos [260] bus,train [260] lagos,pleased [260] patients,hospitalised [260] hospitalised,bus Top Word Pairs in Tweet in G1:
[16] future,save [16] breaking,news [16] beyond,future [16] news,urgent [16] urgent,beyond [15] link,bio [14] retirement,age [14] save,retirement [14] age,healthcare [12] healthcare,system Top Word Pairs in Tweet in G2:
[257] report,53 [257] patients,hospitalised [257] good,evening [257] bus,train [257] lagos,pleased [257] 53,patients [257] train,accident [257] evening,lagos [257] hospitalised,bus [257] pleased,report Top Word Pairs in Tweet in G3:
[242] water,housing [242] clean,water [241] don,right [241] states,greatest [241] people,don [241] right,clean [241] greatest,country [241] country,world [241] world,people [241] united,states Top Word Pairs in Tweet in G4:
[238] movie,healthcare [237] make,prohibitively [237] chance,wealthy [237] wealthy,make [237] healthcare,right [237] given,chance [237] right,given [237] prohibitively,expensive [236] expensive,elimin [236] voicesbyzane,movie Top Word Pairs in Tweet in G5:
[73] healthcare,education [72] border,crisis [71] none,none [71] without,deflection [71] plan,offered [71] single,worthy [71] inflation,healthcare [71] week,10 [71] none,independent [71] vision,solution Top Word Pairs in Tweet in G6:
[20] healthcare,system [16] system,completely [16] pretty,much [16] much,sums [16] world,healthcare [16] happened,world [16] completely,remade [16] remade,one [16] sums,happened [15] over,over Top Word Pairs in Tweet in G7:
[51] healthcare,services [50] fewer,workers [50] more,healthcare [50] workers,tax [50] services,unsustainable [50] need,spend [50] tax,need [50] governments,fewer [50] spend,more [49] brownecfm,governments Top Word Pairs in Tweet in G8:
[108] trump,administration [105] tonyhussein4,trump [97] failed,infrastructure [97] administration,failed [97] infrastructure,former [97] failed,deliver [97] wall,failed [97] build,wall [97] healthcare,failed [97] deliver,healthcare Top Word Pairs in Tweet in G9:
[36] albertans,deserve [35] principled,compassionate [35] deserve,principled [35] alberta,ndp [35] ndp,2023 [35] running,alberta [35] 2023,believe [35] believe,albertans [34] rachelnotley,running [34] compassionate,representati Top Word Pairs in Tweet in G10:
[2] royqhobbs,jkoff609 [2] tip_ct,mistressredwasp [2] lightfighter24,mcfluffinx [2] 8brianvogel4,chuckychuckles1 [2] randyupton33,imfletcherlives [2] henriziolkowski,blueeyejeff [2] itisjustmebabe,thereseosulliv2 [2] bigteethyouhave,wanderinglord [2] tshadowknow,417craig [2] krensharpaw,mikebetts43 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 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: