The graph represents a network of 6,747 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1963-day, 8-hour, 11-minute period from Thursday, 21 September 2017 at 16:49 UTC to Monday, 06 February 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 : 6747
Unique Edges : 3556
Edges With Duplicates : 10563
Total Edges : 14119
Number of Edge Types : 9
Retweet : 3495
MentionsInRetweet : 4153
Replies to : 1516
MentionsInReplyTo : 3302
Tweet : 1020
Mentions : 361
MentionsInQuote : 115
Quote : 148
MentionsInQuoteReply : 9
Self-Loops : 1302
Reciprocated Vertex Pair Ratio : 0.0297341737462318
Reciprocated Edge Ratio : 0.0577511643379907
Connected Components : 1164
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 3146
Maximum Edges in a Connected Component : 7442
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.701804
Graph Density : 0.000165109452736974
Modularity : 0.541399
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,747 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 1963-day, 8-hour, 11-minute period from Thursday, 21 September 2017 at 16:49 UTC to Monday, 06 February 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:
[385] healthcare,system [340] healthcare,workers [204] universal,healthcare [201] work,healthcare [167] humanitarian,blockade [167] sewn,fate [167] fate,already [167] already,destroyed [167] blockade,sewn [167] destroyed,healthcare Top Word Pairs in Tweet in G1:
[14] healthcare,needed [13] needed,prevent [13] deaths,suicide [13] prevent,further [13] international,student [13] further,international [13] targeted,mental [13] mental,healthcare [13] student,deaths [12] research,finds Top Word Pairs in Tweet in G2:
[72] rejecting,'up [72] cataract,story [72] ohip,2200 [72] sell',7000 [72] told,go [72] go,ohip [72] 'up,sell' [72] story,rejecting [72] 7000,told [72] 2200,00 Top Word Pairs in Tweet in G3:
[114] families,texas [114] vote,republican [114] 15,families [114] folks,vote [114] texas,live [114] many,folks [114] live,poverty [114] poverty,earth [114] earth,many [114] republican,democrats Top Word Pairs in Tweet in G4:
[60] healthcare,funding [60] discuss,healthcare [60] trudeau,meeting [60] meeting,premiers [60] week,discuss [60] ontarians,trudeau [60] call,ontarians [60] premiers,week [60] funding,comes [59] cocaine,heroin Top Word Pairs in Tweet in G5:
[166] healthcare,system [164] destroyed,healthcare [164] blockade,sewn [164] already,destroyed [164] fate,already [164] humanitarian,blockade [164] sewn,fate [164] system,effects [162] effects,siege [145] siege,felt Top Word Pairs in Tweet in G6:
[113] hundreds,millions [113] tying,healthcare [113] people's,heads [113] millions,people's [113] gun,hundreds [113] healthcare,employment [113] puts,invisible [113] forcing,accept [113] invisible,gun [113] heads,forcing Top Word Pairs in Tweet in G7:
[136] censor,tell [136] healthcare,censor [136] work,healthcare [136] tell,vaccine [136] talk,injuries [136] injuries,ll [136] vaccine,injury [136] injury,talk [135] michell87463246,work [135] ll,writt Top Word Pairs in Tweet in G8:
[65] matt,gaetz [46] patriottakes,matt [44] poor,people [41] go,work [40] work,healthcare [39] people,go [38] gaetz,poor [24] hundreds,millions [22] dollars,2004 [22] sold,hundreds Top Word Pairs in Tweet in G9:
[37] potus,passed [37] #stateoftheunion,dad [37] significant,legislation [37] fdr,facing [37] dad,potus [37] legislation,economy [37] economy,fdr [37] passed,significant [36] facing,large [36] theovalpawffice,#stateoftheunion Top Word Pairs in Tweet in G10:
[54] report,report [54] documented,rampant [54] report,documented [54] last,three [54] years,report [54] three,years [54] inequality,racism [54] rampant,dysfunction [54] dysfunction,corruption [54] corruption,inequality 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: