The graph represents a network of 7,486 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:05 UTC.
The tweets in the network were tweeted over the 1448-day, 9-hour, 3-minute period from Monday, 18 March 2019 at 15:56 UTC to Monday, 06 March 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 : 7486
Unique Edges : 4543
Edges With Duplicates : 11575
Total Edges : 16118
Number of Edge Types : 9
Retweet : 3015
MentionsInRetweet : 3986
Quote : 214
Tweet : 1121
Replies to : 2153
MentionsInReplyTo : 4806
Mentions : 616
MentionsInQuote : 156
MentionsInQuoteReply : 51
Self-Loops : 1548
Reciprocated Vertex Pair Ratio : 0.0412683044898947
Reciprocated Edge Ratio : 0.0792654579265458
Connected Components : 1467
Single-Vertex Connected Components : 386
Maximum Vertices in a Connected Component : 2128
Maximum Edges in a Connected Component : 5860
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.579716
Graph Density : 0.000153553165641997
Modularity : 0.543039
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,486 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:05 UTC.
The tweets in the network were tweeted over the 1448-day, 9-hour, 3-minute period from Monday, 18 March 2019 at 15:56 UTC to Monday, 06 March 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:
[219] healthcare,system [203] free,healthcare [187] universal,healthcare [166] healthcare,education [158] rural,hospitals [157] know,dangerous [156] dangerous,governor [156] hometown,hospital [156] governor,allow [156] hospitals,close Top Word Pairs in Tweet in G1:
[36] save,healthcare [20] healthcare,abortion [19] healthcare,save [19] healthcare,professionals [18] link,bio [18] john,lewis [18] abortion,save [18] future,save [18] breaking,news [18] lewis,act Top Word Pairs in Tweet in G2:
[74] limited,access [74] insecurity,limited [74] facing,food [74] residents,facing [74] dire,residents [74] remains,dire [74] food,insecurity [74] access,healthcare [66] situation,tigray [66] tigray,remains Top Word Pairs in Tweet in G3:
[84] healthcare,settings [55] required,healthcare [55] masks,required [53] forever,actually [53] settings,forever [52] ajmoorehealth,masks [30] health,officer [26] mask,mandate [25] public,health [24] mandate,healthcare Top Word Pairs in Tweet in G4:
[25] healthcare,system [19] think,making [19] liberal,party [19] money,people [19] money,stop [19] talking,liberal [19] lol,money [19] stop,talking [19] people,think [19] making,canadians Top Word Pairs in Tweet in G5:
[149] hometown,hospital [149] hospitals,close [149] hospital,rural [149] governor,allow [149] allow,hometown [149] know,dangerous [149] rural,hospitals [149] dangerous,governor [148] harrisonjaime,know [14] catsofiraklia,meet Top Word Pairs in Tweet in G6:
[101] someone,suffers [101] suffers,common [101] place,maybe [101] right,place [101] medical,conditions [101] common,medical [101] conditions,exactly [101] oh,right [101] maybe,someone [100] stonekettle,oh Top Word Pairs in Tweet in G7:
[4] 8brianvogel4,kevinoler [4] jimlikesbb,bconnectedj [4] neal_cowboy,spiralwrap53 [4] thelandomatic,gaballots [4] bsherrle,p11b30 [4] kevinoler,caperloo5 [4] maga_translator,bsherrle [4] lostsoulcracker,calvine43701301 [4] rosegar17673310,therealmckeever [4] theanthony850,itisjustmebabe Top Word Pairs in Tweet in G8:
[45] healthcare,settings [34] mask,mandate [23] mask,protections [23] supporting,ending [23] protections,particularly [23] settings,ridiculous [23] science,supporting [23] ending,mask [23] particularly,healthcare [22] pattheberner,science Top Word Pairs in Tweet in G9:
[16] trans,people [12] derpyerika,lozcrouch [12] lozcrouch,katymontgomerie [12] michaeljknowles,rollingstone [12] cianhudder1,vaushv [10] wynsickle,derpyerika [9] vaushv,mattwalshblog [7] csmcbride98,vaushv [6] aridrennen,tlynn70621540 [6] universal,healthcare Top Word Pairs in Tweet in G10:
[22] publicly,funded [16] funded,#healthcare [16] publicly,delivered [16] delivered,healthcare [16] story,publicly [16] half,story [16] healthcare,defended [16] defended,money [16] #healthcare,half [16] money,flows 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: