The graph represents a network of 5,780 Twitter users whose tweets in the requested range contained "maternal mortality", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 23 June 2019 at 16:48 UTC.
The requested start date was Sunday, 23 June 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 8-day, 21-hour, 37-minute period from Friday, 14 June 2019 at 02:08 UTC to Saturday, 22 June 2019 at 23:46 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 : 5780
Unique Edges : 6706
Edges With Duplicates : 1256
Total Edges : 7962
Number of Edge Types : 3
Mentions : 6765
Replies to : 528
Tweet : 669
Self-Loops : 669
Reciprocated Vertex Pair Ratio : 0.0181315304240934
Reciprocated Edge Ratio : 0.0356172653184425
Connected Components : 681
Single-Vertex Connected Components : 245
Maximum Vertices in a Connected Component : 3372
Maximum Edges in a Connected Component : 4922
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 6.775764
Graph Density : 0.000198367672954996
Modularity : 0.806792
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3189] maternal,mortality [1594] mortality,rate [1130] u,s [1103] 100,000 [1083] per,100 [1047] deaths,per [1045] one,worst [1045] 000,births [1036] missouri,one [1035] worst,states Top Word Pairs in Tweet in G1:
[955] maternal,mortality [948] per,100 [948] 100,000 [947] mortality,rate [947] deaths,per [946] u,s [946] s,maternal [946] 000,births [945] missouri,one [945] one,worst Top Word Pairs in Tweet in G2:
[141] maternal,mortality [133] huge,part [133] part,problem [133] problem,country [133] country,notion [133] notion,pregnancy [133] pregnancy,s [133] s,mantra [132] leahntorres,huge [132] mantra,w Top Word Pairs in Tweet in G3:
[181] maternal,mortality [37] mortality,rate [32] mortality,rates [22] help,reduce [21] infant,mortality [16] black,women [12] maternal,infant [10] united,states [10] morbidity,mortality [10] mortality,crisis Top Word Pairs in Tweet in G4:
[194] 1966,romania [194] romania,outlawed [194] outlawed,access [194] access,abortion [194] abortion,contraception [194] contraception,1989 [194] 1989,estimated [194] estimated,10 [194] 10,000 [194] 000,women Top Word Pairs in Tweet in G5:
[101] maternal,mortality [37] u,s [31] s,health [29] health,care [27] mortality,u [27] s,deserves [27] deserves,full [27] full,attention [27] attention,america [27] america,s Top Word Pairs in Tweet in G6:
[151] maternal,mortality [132] mortality,rate [129] clinics,closed [128] betoorourke,texas [127] texas,more [127] more,quarter [127] quarter,clinics [127] closed,maternal [127] rate,3 [127] 3,times Top Word Pairs in Tweet in G7:
[39] maternal,mortality [37] harris,s [34] event,before [34] before,vaunted [34] vaunted,fish [34] fish,fry [34] fry,harris [34] s,prepared [34] prepared,create [34] create,federal Top Word Pairs in Tweet in G8:
[114] maternal,mortality [77] many,experts [77] experts,extending [77] extending,medicaid [77] medicaid,postpartum [77] postpartum,women [77] women,effective [77] effective,way [77] way,lower [77] lower,maternal Top Word Pairs in Tweet in G9:
[19] covered,efforts [17] women,declining [16] c,sections [14] declining,surgery [13] many,women [13] women,still [13] still,having [13] having,access [13] afford,forget [13] surgery,bbc_future Top Word Pairs in Tweet in G10:
[37] maternal,mortality [19] mortality,rate [12] infant,mortality [10] highest,maternal [10] mortality,rates [8] mattwalshblog,downeyangel [8] downeyangel,kayfellowz [7] don,t [6] maternal,infant [6] davydawg,mattwalshblog 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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