The graph represents a network of 3,351 Twitter users whose recent tweets contained "kaiserfamfound", 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 20:04 UTC.
The tweets in the network were tweeted over the 4113-day, 6-hour, 48-minute period from Wednesday, 19 October 2011 at 13:00 UTC to Sunday, 22 January 2023 at 19:49 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 : 3351
Unique Edges : 3834
Edges With Duplicates : 11285
Total Edges : 15119
Number of Edge Types : 9
Retweet : 3200
MentionsInRetweet : 4835
MentionsInQuoteReply : 108
Replies to : 703
Quote : 260
Mentions : 1367
MentionsInReplyTo : 4076
MentionsInQuote : 214
Tweet : 356
Self-Loops : 679
Reciprocated Vertex Pair Ratio : 0.0252037428312708
Reciprocated Edge Ratio : 0.0491682614456058
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 3347
Maximum Edges in a Connected Component : 15114
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.961984
Graph Density : 0.000605121215765399
Modularity : 0.3258
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,351 Twitter users whose recent tweets contained "kaiserfamfound", 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 20:04 UTC.
The tweets in the network were tweeted over the 4113-day, 6-hour, 48-minute period from Wednesday, 19 October 2011 at 13:00 UTC to Sunday, 22 January 2023 at 19:49 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 : kaiserfamfound
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:
[430] health,care [180] trump,administration [162] entire,aca [144] overturn,entire [144] supported,trump [138] prescription,drug [125] texas,legal [125] legal,challenge [114] heard,tomorrow [113] insurance,plans Top Word Pairs in Tweet in G1:
[196] health,care [92] legal,challenge [92] texas,legal [83] prescription,drug [66] nonelderly,adults [64] kaiserfamfound,poll [63] prescription,drugs [61] oral,arguments [60] spend,higher [60] higher,share Top Word Pairs in Tweet in G2:
[71] health,care [42] optum,jmeacham [42] rasushrestha,dsgold [39] report,kaiserfamfound [38] recent,report [38] joshmich,jenkatesdc [37] excellent,recent [37] unknown,kids [37] jenkatesdc,unknown [37] kaiserfamfound,joshmich Top Word Pairs in Tweet in G3:
[103] trump,administration [102] entire,aca [99] overturn,entire [99] supported,trump [98] tomorrow,supported [98] aca,throw [98] administration,overturn [98] suit,being [98] throw,health [98] heard,tomorrow Top Word Pairs in Tweet in G4:
[11] health,care [9] leaning,independents [9] democratic,leaning [8] independents,prefer [8] kaiserfamfound,poll [7] used,#t1d [7] cohort,30 [7] #t2d,cohort [7] 1200,over [7] marked,680 Top Word Pairs in Tweet in G5:
[19] private,insurance [19] americans,oppose [18] opposed,eliminates [18] plans,57 [18] eliminates,private [18] taxes,60 [18] oppose,medicare [18] medicare,raises [18] raises,taxes [18] insurance,plans Top Word Pairs in Tweet in G6:
[12] 9th,circuit [8] implement,#titlex [8] circuit,hhsgov [8] disqualify,providers [8] hhsgov,implement [8] providers,offer [6] usafacts,hhsgov [6] cdcgov,usafacts [6] hhsgov,pediacast [5] mgmentalhealth,proudboysus Top Word Pairs in Tweet in G7:
[61] uninsured,non [61] 37,states [61] states,9m [61] 9m,uninsured [61] seniors,access [61] states,#medicaidexpansion [61] cover,millions [61] millions,states [61] non,seniors [61] #medicaidexpansion,cover Top Word Pairs in Tweet in G8:
[29] health,care [21] health,spending [20] p4ahcf,kaiserfamfound [14] kaiserfamfound,petersonchealth [11] persistently,high [10] people,persistently [9] high,health [9] paragraph,leaves [9] evidence,kaiserfamfound [9] christ,paragraph Top Word Pairs in Tweet in G9:
[60] health,care [57] change,public [57] rule,big [57] rule,miller [57] charge,rule [57] big,implications [57] implications,health [57] miller,desperately [57] desperately,change [57] public,charge Top Word Pairs in Tweet in G10:
[28] evening,#aca [28] mention,lawsuit [28] lawsuit,#demdebate [28] corybooker,candidate [28] candidate,mention [28] #demdebate,evening [27] charles_gaba,corybooker [22] toll,dwarf [22] hurricanes,maria [22] long,live Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: