The graph represents a network of 53 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 Wednesday, 20 November 2019 at 02:37 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 10-day, 12-hour, 50-minute period from Tuesday, 05 November 2019 at 15:57 UTC to Saturday, 16 November 2019 at 04:47 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 : 53
Unique Edges : 95
Edges With Duplicates : 26
Total Edges : 121
Number of Edge Types : 3
Mentions : 108
Replies to : 11
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.05
Reciprocated Edge Ratio : 0.0952380952380952
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 50
Maximum Edges in a Connected Component : 117
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.615815
Graph Density : 0.0380986937590711
Modularity : 0.506506
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 53 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 Wednesday, 20 November 2019 at 02:37 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 10-day, 12-hour, 50-minute period from Tuesday, 05 November 2019 at 15:57 UTC to Saturday, 16 November 2019 at 04:47 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[9] kaiserfamfound,kimberlyamadeo [8] different,ways [8] ways,think [8] think,social [8] social,determinants [8] determinants,health [8] health,kaiserfamfound [8] kaiserfamfound,mentioned [8] mentioned,prof [8] prof,hinton Top Word Pairs in Tweet in G1:
[9] kaiserfamfound,kimberlyamadeo [7] kimberlyamadeo,awgaffney [6] pash22,kaiserfamfound [5] anish_koka,pash22 [3] pash22,anish_koka [3] medical,bills [3] million,adults [3] anish_koka,kaiserfamfound [2] anish_koka,2015 [2] 2015,kaiserfamfound Top Word Pairs in Tweet in G2:
[8] different,ways [8] ways,think [8] think,social [8] social,determinants [8] determinants,health [8] health,kaiserfamfound [8] kaiserfamfound,mentioned [8] mentioned,prof [8] prof,hinton [8] hinton,uscleonarddavis Top Word Pairs in Tweet in G3:
[2] policydeb,exorbitant [2] exorbitant,health [2] health,care [2] care,costs [2] costs,seniors [2] seniors,including [2] including,#seniorsinthemiddle [2] #seniorsinthemiddle,health_affairs [2] health_affairs,aarppolicy Top Word Pairs in Tweet in G4:
[2] kaiserfamfound,wwmtnews [2] wwmtnews,mlive Top Word Pairs in Tweet in G6:
[3] kaiserfamfound,slideshare [2] seems,many [2] many,people [2] people,still [2] still,think [2] think,sanders [2] sanders,warren [2] warren,m4a [2] m4a,keep [2] keep,healthcare Top Word Pairs in Tweet in G7:
[2] kaiser,family [2] family,foundation [2] foundation,s [2] s,#medicaid [2] #medicaid,survey [2] survey,highlights [2] highlights,importance [2] importance,consumer [2] consumer,engagement Top Word Pairs in Tweet in G8:
[2] kaiserfamfound,arjeter [2] arjeter,craigpalosky [2] craigpalosky,paint [2] paint,devastating [2] devastating,picture [2] picture,obamcare [2] obamcare,repeal [2] repeal,#protectourcare Top Word Pairs in Tweet in G10:
[4] american,indian [4] indian,alaska [4] alaska,native [2] more,half [2] half,american [2] native,children [2] children,covered [2] covered,through [2] through,medicaid [2] medicaid,chip Top Replied-To in Entire Graph:
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Top Replied-To in G6:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: