The graph represents a network of 1,478 Twitter users whose tweets in the requested range contained "kaiserfamfound", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 22 April 2019 at 18:38 UTC.
The requested start date was Monday, 22 April 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 16-minute period from Monday, 08 April 2019 at 00:16 UTC to Sunday, 21 April 2019 at 23:32 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1478
Unique Edges : 2136
Edges With Duplicates : 1447
Total Edges : 3583
Number of Edge Types : 3
Mentions : 3145
Replies to : 213
Tweet : 225
Self-Loops : 225
Reciprocated Vertex Pair Ratio : 0.0258365099534096
Reciprocated Edge Ratio : 0.0503715937241949
Connected Components : 50
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 1406
Maximum Edges in a Connected Component : 3506
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.009231
Graph Density : 0.0011094793143033
Modularity : 0.499549
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[154] u,s [129] health,insurance [114] health,care [113] health,spending [112] adults,become [109] eligible,medicaid [104] become,eligible [101] uninsured,adults [90] khnews,kaiserfamfound [79] 4,million Top Word Pairs in Tweet in G1:
[118] u,s [93] eligible,medicaid [93] adults,become [88] health,spending [86] uninsured,adults [77] become,eligible [67] 4,million [66] 4,4 [65] million,uninsured [58] medicaid,remaining Top Word Pairs in Tweet in G2:
[22] join,kaiserfamfound [18] kaiserfamfound,csishealth [18] policy,roundtable [18] roundtable,latest [18] latest,data [18] data,funding [17] global,health [16] u,s [15] funding,global [15] cdcgov,usafacts Top Word Pairs in Tweet in G3:
[83] khnews,kaiserfamfound [74] annagorman,khnews [28] kaiserfamfound,congratulations [17] last,day [12] kaiserfamfound,congrats [10] congratulations,anna [9] career,news [8] kaiserfamfound,wow [8] good,luck [8] bittersweet,career Top Word Pairs in Tweet in G4:
[42] private,insurance [40] health,coverage [37] reminder,private [37] insurance,plays [37] plays,increasingly [37] increasingly,prominent [37] prominent,role [37] role,delivering [37] delivering,health [37] coverage,even Top Word Pairs in Tweet in G5:
[68] daily,reminder [68] reminder,realdonaldtrump [68] realdonaldtrump,gop [68] gop,court [68] court,trying [68] trying,eliminate [68] eliminate,law [68] law,protects [68] protects,preexisting [67] tedlieu,daily Top Word Pairs in Tweet in G7:
[5] kpshare,kaiserfamfound [3] 1,hour [3] hour,video [2] aamctoday,amermedicalassn [2] congratulations,bernardjtyson [2] bernardjtyson,recipient [2] recipient,nmqf [2] nmqf,#nmqf2019summit [2] #nmqf2019summit,lifetime [2] lifetime,achievment Top Word Pairs in Tweet in G8:
[36] important,story [36] story,hiv [36] hiv,health [36] health,insurance [36] insurance,south [36] south,m [36] m,very [36] very,proud [36] proud,weigh [36] weigh,alongside Top Word Pairs in Tweet in G9:
[2] cost,healthcare [2] here,s [2] health,insurance Top Word Pairs in Tweet in G10:
[9] dependents,e [9] e,children [9] children,negatively [9] negatively,impacted [9] impacted,subsidized [9] subsidized,employer [8] brucelesley,dependents [8] employer,cover [7] updated,interactive [7] interactive,side Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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