The graph represents a network of 3,353 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 20:03 UTC.
The tweets in the network were tweeted over the 4112-day, 1-hour, 44-minute period from Wednesday, 19 October 2011 at 13:00 UTC to Saturday, 21 January 2023 at 14:45 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 : 3353
Unique Edges : 3848
Edges With Duplicates : 11336
Total Edges : 15184
Number of Edge Types : 9
Retweet : 3199
MentionsInRetweet : 4833
MentionsInQuoteReply : 108
Replies to : 710
Quote : 259
Mentions : 1370
MentionsInReplyTo : 4136
MentionsInQuote : 214
Tweet : 355
Self-Loops : 677
Reciprocated Vertex Pair Ratio : 0.0253982566877066
Reciprocated Edge Ratio : 0.0495383262494504
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 3349
Maximum Edges in a Connected Component : 15179
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.959855
Graph Density : 0.000607068652942864
Modularity : 0.328908
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,353 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 20:03 UTC.
The tweets in the network were tweeted over the 4112-day, 1-hour, 44-minute period from Wednesday, 19 October 2011 at 13:00 UTC to Saturday, 21 January 2023 at 14:45 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:
[427] health,care [181] trump,administration [163] entire,aca [145] overturn,entire [145] supported,trump [139] prescription,drug [125] texas,legal [125] legal,challenge [115] heard,tomorrow [114] insurance,plans Top Word Pairs in Tweet in G1:
[203] health,care [99] legal,challenge [99] texas,legal [87] prescription,drug [67] nonelderly,adults [66] kaiserfamfound,poll [65] oral,arguments [65] prescription,drugs [63] federal,appeals [62] appeals,court Top Word Pairs in Tweet in G2:
[92] throw,health [92] overturn,entire [92] trump,administration [92] supported,trump [92] suit,being [92] heard,tomorrow [92] aca,throw [92] entire,aca [92] administration,overturn [92] tomorrow,supported Top Word Pairs in Tweet in G3:
[71] health,care [45] report,kaiserfamfound [39] recent,report [38] joshmich,jenkatesdc [37] excellent,recent [37] jenkatesdc,unknown [37] kaiserfamfound,joshmich [37] unknown,kids [36] erictopol,excellent [29] prescription,drug Top Word Pairs in Tweet in G4:
[19] private,insurance [19] americans,oppose [18] insurance,plans [18] opposed,eliminates [18] oppose,medicare [18] eliminates,private [18] taxes,60 [18] medicare,raises [18] plans,57 [18] 60,opposed Top Word Pairs in Tweet in G5:
[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 G6:
[12] 9th,circuit [9] mgmentalhealth,proudboysus [9] impscience,mgmentalhealth [9] equity_allies,impscience [9] hijaction,tht_beds [9] tht_beds,equity_allies [8] reuters,drsanjaygupta [8] katieporteroc,erinkburrell [8] bordergroves,jactioncenter [8] implement,#titlex Top Word Pairs in Tweet in G7:
[60] #medicaidexpansion,cover [60] cover,millions [60] millions,states [60] states,9m [60] non,seniors [60] 37,states [60] uninsured,non [60] seniors,access [60] 9m,uninsured [60] states,#medicaidexpansion Top Word Pairs in Tweet in G8:
[29] health,care [21] health,spending [21] p4ahcf,kaiserfamfound [14] kaiserfamfound,petersonchealth [11] persistently,high [10] people,persistently [9] paragraph,leaves [9] lower,income [9] jesus,christ [9] employer,coverage Top Word Pairs in Tweet in G9:
[59] health,care [56] desperately,change [56] rule,big [56] implications,health [56] change,public [56] charge,rule [56] big,implications [56] miller,desperately [56] rule,miller [56] public,charge Top Word Pairs in Tweet in G10:
[28] lawsuit,#demdebate [28] evening,#aca [28] mention,lawsuit [28] corybooker,candidate [28] candidate,mention [28] #demdebate,evening [27] charles_gaba,corybooker [21] critical,resulting [21] long,live [21] maria,irma Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: