The graph represents a network of 6,698 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 2138-day, 14-hour, 38-minute period from Thursday, 09 March 2017 at 10:22 UTC to Monday, 16 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 : 6698
Unique Edges : 3780
Edges With Duplicates : 11279
Total Edges : 15059
Number of Edge Types : 9
Tweet : 1008
Replies to : 1700
MentionsInReplyTo : 3687
Mentions : 429
Retweet : 3488
MentionsInRetweet : 4448
Quote : 159
MentionsInQuote : 124
MentionsInQuoteReply : 16
Self-Loops : 1252
Reciprocated Vertex Pair Ratio : 0.0286858767282595
Reciprocated Edge Ratio : 0.0557718879537746
Connected Components : 1138
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 2597
Maximum Edges in a Connected Component : 7489
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.626887
Graph Density : 0.000177477042014819
Modularity : 0.530588
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,698 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 06:04 UTC.
The tweets in the network were tweeted over the 2138-day, 14-hour, 38-minute period from Thursday, 09 March 2017 at 10:22 UTC to Monday, 16 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:
[392] private,healthcare [291] healthcare,system [202] universal,healthcare [178] healthcare,workers [148] doug,ford [130] public,healthcare [121] health,care [112] health,insurance [109] privatize,healthcare [105] free,healthcare Top Word Pairs in Tweet in G1:
[132] doug,ford [115] healthcare,system [82] public,healthcare [73] profiteers,anything [73] line,ontario [73] remember,healthcare [73] biggest,budget [73] healthcare,far [73] far,biggest [73] budget,line Top Word Pairs in Tweet in G2:
[11] healthcare,workers [11] healthcare,system [10] fda,cdc [8] see,early [8] signal,possible [8] possible,pfizer [8] early,signal [8] cdc,see [8] bivalent,covid [8] pfizer,bivalent Top Word Pairs in Tweet in G3:
[84] private,healthcare [52] using,private [50] key,figures [49] admitted,using [49] accused,hypocrisy [49] figures,admitted [49] hypocrisy,key [49] labour,accused [48] politlcsuk,labour [13] endpoint,health Top Word Pairs in Tweet in G4:
[12] healthcare,professionals [11] last,day [11] potus,reaffirm [11] week,proud [11] welcome,potus [11] professionals,patients [11] housedemocrats,commitment [11] commitment,healthcare [11] reaffirm,housedemocrats [11] proud,welcome Top Word Pairs in Tweet in G5:
[31] checkbooks,elderly [31] home,healthcare [31] mother,home [31] healthcare,nurse [31] stole,checkbooks [31] elderly,patients [31] patients,late [31] late,mother [17] santos,stole [15] nurse,forged Top Word Pairs in Tweet in G6:
[42] free,healthcare [32] against,free [31] americans,against [30] silentkil_er,americans [20] ut_credamus,silentkil_er [14] roads,infrastructure [14] nice,roads [14] healthcare,nice [14] education,good [14] class,education Top Word Pairs in Tweet in G7:
[32] private,healthcare [22] firm,livingbridge [22] appointed,wol [22] private,equity [22] tories,appointed [22] managing,partner [22] wol,kolade [22] march,tories [22] partner,private [22] kolade,managing Top Word Pairs in Tweet in G8:
[34] ford's,healthcare [34] mess,ford's [34] healthcare,msging [34] go,hard [34] hard,language [34] focus,group [34] group,mess [34] msging,go [33] language,commerc [33] christyceeck,focus Top Word Pairs in Tweet in G9:
[37] privatize,healthcare [35] healthcare,alberta [35] provinces,common [35] attempting,privatize [35] alberta,doing [35] same,provinces [35] doing,same [35] ontario,attempting [34] captaincoby00,ontario [34] common,cons Top Word Pairs in Tweet in G10:
[93] wage,universal [93] pay,thriving [93] multiple,streams [93] streams,income [93] basic,income [93] jobs,pay [93] thriving,wage [93] universal,basic [93] income,jobs [92] norarahimian,multiple Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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 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: