The graph represents a network of 42 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 Tuesday, 17 September 2019 at 16:36 UTC.
The requested start date was Monday, 16 September 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 10-day, 2-hour, 5-minute period from Tuesday, 03 September 2019 at 09:24 UTC to Friday, 13 September 2019 at 11:30 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 : 42
Unique Edges : 60
Edges With Duplicates : 24
Total Edges : 84
Number of Edge Types : 3
Mentions : 76
Replies to : 5
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.0491803278688525
Reciprocated Edge Ratio : 0.09375
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 33
Maximum Edges in a Connected Component : 73
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.478632
Graph Density : 0.0371660859465738
Modularity : 0.482178
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[16] kaiser,foundation [9] puerto,rico [9] temporary,medicaid [9] medicaid,funds [9] expire,end [9] end,sept [7] kff,puerto [7] rico,usvi [7] usvi,heading [7] heading,fiscal Top Word Pairs in Tweet in G1:
[3] p4ahcf,kaiserfamfound [2] edub56,p4ahcf [2] partnership,americas [2] americas,health [2] health,care [2] care,future [2] kaiserfamfound,biased [2] biased,poll [2] poll,questions [2] questions,course Top Word Pairs in Tweet in G2:
[9] puerto,rico [9] temporary,medicaid [9] medicaid,funds [9] expire,end [9] end,sept [7] kff,puerto [7] rico,usvi [7] usvi,heading [7] heading,fiscal [7] fiscal,cliff Top Word Pairs in Tweet in G3:
[4] re,following [4] following,discussion [4] discussion,#healthspending [4] #healthspending,watch [4] watch,experts [4] experts,kaiserfamfound [4] kaiserfamfound,harvard [4] harvard,dukemargolis [4] dukemargolis,rti_intl [3] npcnow,re Top Word Pairs in Tweet in G4:
[16] kaiser,foundation [3] foundation,voices [3] voices,low [3] low,income [3] income,women [3] women,health [3] health,providers [3] providers,three [3] three,communities [3] communities,talk Top Word Pairs in Tweet in G5:
[2] ashleykirzinger,kaiserfamfound [2] great,report [2] report,2020 [2] 2020,swing [2] swing,voters [2] voters,#healthcare [2] #healthcare,top [2] top,issue [2] issue,democrats [2] democrats,advantage Top Word Pairs in Tweet in G6:
[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 G7:
[2] papermo48443016,kaiserfamfound [2] kaiserfamfound,mcuban [2] mcuban,please [2] please,send [2] send,send [2] send,ma2020 [2] ma2020,business [2] business,model Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 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: