The graph represents a network of 5,710 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 Thursday, 27 February 2020 at 06:31 UTC.
The requested start date was Thursday, 27 February 2020 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 3-day, 18-hour, 52-minute period from Sunday, 23 February 2020 at 00:50 UTC to Wednesday, 26 February 2020 at 19:42 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 : 5710
Unique Edges : 7213
Edges With Duplicates : 1148
Total Edges : 8361
Number of Edge Types : 4
MentionsInRetweet : 5842
Replies to : 362
Tweet : 420
Mentions : 1737
Self-Loops : 420
Reciprocated Vertex Pair Ratio : 0.00965783664459161
Reciprocated Edge Ratio : 0.0191309100847226
Connected Components : 486
Single-Vertex Connected Components : 200
Maximum Vertices in a Connected Component : 3912
Maximum Edges in a Connected Component : 6021
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.448877
Graph Density : 0.00022448961436439
Modularity : 0.80113
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 5,710 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 Thursday, 27 February 2020 at 06:31 UTC.
The requested start date was Thursday, 27 February 2020 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 3-day, 18-hour, 52-minute period from Sunday, 23 February 2020 at 00:50 UTC to Wednesday, 26 February 2020 at 19:42 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 : maternal mortality
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:
[2704] maternal,mortality [2154] black,mothers [1301] richest,country [1300] higher,rate [1300] panama,ecuador [1299] capital,world's [1299] world's,richest [1299] country,black [1299] mothers,die [1299] die,higher Top Word Pairs in Tweet in G1:
[1262] capital,world's [1262] world's,richest [1262] richest,country [1262] country,black [1262] black,mothers [1262] mothers,die [1262] die,higher [1262] higher,rate [1262] rate,panama [1262] panama,ecuador Top Word Pairs in Tweet in G2:
[810] black,mothers [801] maternal,mortality [798] mortality,crisis [797] facing,maternal [796] crisis,america [796] america,black [796] mothers,epidemic [796] epidemic,glad [796] glad,cosponsor [795] senwarren,facing Top Word Pairs in Tweet in G3:
[143] maternal,mortality [41] mortality,rates [37] mortality,rate [15] black,women [15] infant,mortality [14] black,maternal [12] child,mortality [11] maternal,infant [11] planned,parenthood [10] health,care Top Word Pairs in Tweet in G4:
[33] maternal,mortality [15] mortality,rate [10] not_ovaryacting,uterusdecision [10] uterusdecision,asouthernpenny [10] asouthernpenny,tunicornelius [10] tunicornelius,cybermom1999 [10] cybermom1999,studentsforlife [7] jwmiii86,k3rn3lhack3r [7] shamar_ezer,liviniusw [7] elizzabethvcruz,not_ovaryacting Top Word Pairs in Tweet in G5:
[142] maternal,mortality [135] top,driver [135] driver,maternal [135] mortality,gap [135] gap,lack [135] lack,prenatal [135] prenatal,health [135] health,care [135] care,underinsurance [135] underinsurance,doesn Top Word Pairs in Tweet in G6:
[53] maternal,mortality [46] mortality,crisis [37] mothers,color [32] color,bearing [32] bearing,worst [32] worst,birth [32] birth,outcomes [32] outcomes,maternal [32] crisis,disparities [32] disparities,harming Top Word Pairs in Tweet in G7:
[98] maternal,mortality [70] maudraconsults,michaelharriot [69] michaelharriot,maternal [68] mortality,health [68] health,disparities [68] disparities,always [68] always,rarely [68] rarely,talked [68] talked,substantive [67] substantive,wa Top Word Pairs in Tweet in G8:
[107] maternal,mortality [66] #maternalhealthmatters,worst [66] worst,maternal [66] mortality,rate [66] rate,developed [66] developed,world [66] world,unacceptable [65] laurenunderwood,#maternalhealthmatters [21] mortality,rates [17] everything,needed Top Word Pairs in Tweet in G9:
[86] maternal,mortality [31] rates,maternal [29] mortality,african [29] african,american [29] american,women [28] reduce,rates [28] plan,ewarren [27] women,plan [26] blairimani,reduce [19] mortality,rate Top Word Pairs in Tweet in G10:
[26] maternal,mortality [18] reduction,maternal [17] visited,#kismayo [17] #kismayo,#jubaland [17] #jubaland,encouraged [17] encouraged,see [17] see,midwifery [17] midwifery,students [17] students,finland [17] finland,continues Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10: