The graph represents a network of 8,239 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 Wednesday, 12 August 2020 at 22:16 UTC.
The requested start date was Wednesday, 12 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 16-hour, 37-minute period from Wednesday, 29 July 2020 at 07:14 UTC to Tuesday, 11 August 2020 at 23:52 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 : 8239
Unique Edges : 4284
Edges With Duplicates : 12862
Total Edges : 17146
Number of Edge Types : 5
Mentions : 1841
Replies to : 510
Retweet : 6040
MentionsInRetweet : 8010
Tweet : 745
Self-Loops : 766
Reciprocated Vertex Pair Ratio : 0.012792958755501
Reciprocated Edge Ratio : 0.0252627324171382
Connected Components : 851
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 4403
Maximum Edges in a Connected Component : 10757
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.902574
Graph Density : 0.00014580197139706
Modularity : 0.559011
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,239 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 Wednesday, 12 August 2020 at 22:16 UTC.
The requested start date was Wednesday, 12 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 16-hour, 37-minute period from Wednesday, 29 July 2020 at 07:14 UTC to Tuesday, 11 August 2020 at 23:52 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:
[3556] maternal,mortality [1387] mortality,rate [1106] black,women [712] black,native [702] native,people [672] infant,mortality [609] white,women [565] pregnancy,related [538] related,causes [535] die,childbirth Top Word Pairs in Tweet in G1:
[672] black,native [672] native,people [541] maternal,mortality [410] mortality,crisis [389] pregnancy,related [388] related,causes [386] racism,discrimination [385] structural,racism [384] people,die [384] die,more Top Word Pairs in Tweet in G2:
[462] black,women [450] women,die [450] die,childbirth [450] childbirth,rate [450] rate,three [450] three,four [450] four,times [450] times,higher [450] higher,white [450] white,women Top Word Pairs in Tweet in G3:
[734] mortality,rate [397] maternal,mortality [366] rate,infant [366] infant,mortality [366] rate,lowered [366] lowered,none [366] none,existent [365] tafa___dzwa,maternal [23] existent,zâ [23] mortality,rates Top Word Pairs in Tweet in G4:
[387] louisiana,one [386] 65,women [386] women,died [386] died,pregnancy [386] pregnancy,connected [386] connected,causes [386] causes,louisiana [386] one,year [386] year,preventable [386] preventable,according Top Word Pairs in Tweet in G5:
[223] maternal,mortality [60] mortality,rates [59] black,women [41] mortality,rate [27] health,care [27] covid,19 [26] infant,mortality [21] black,maternal [19] maternal,infant [15] maternal,health Top Word Pairs in Tweet in G6:
[249] between,terrible [249] terrible,healthcare [249] healthcare,high [249] high,maternal [249] maternal,mortality [249] mortality,rate [249] rate,lack [249] lack,maternity [249] maternity,paternity [249] paternity,leave Top Word Pairs in Tweet in G7:
[172] maternal,mortality [155] access,effective [155] effective,contraception [155] contraception,one [155] one,cost [155] cost,effective [155] effective,interventions [155] interventions,reduce [155] reduce,maternal [154] ladygrasha,access Top Word Pairs in Tweet in G8:
[99] maternal,mortality [64] uterine,fibroids [62] mortality,morbidity [61] sen,harris [61] complications,uterine [61] fibroids,lead [61] lead,maternal [60] harris,told [60] told,refinery29 [60] refinery29,complications Top Word Pairs in Tweet in G9:
[97] infant,maternal [95] mike_pence,republicans [95] republicans,stripped [95] stripped,funding [95] funding,women's [95] women's,healthcare [95] healthcare,much [95] much,skyrocketing [95] skyrocketing,infant [94] davmicrot,mike_pence Top Word Pairs in Tweet in G10:
[95] black,women [53] systemic,racism [53] racism,today [53] today,extends [53] extends,healthcare [53] healthcare,system [53] system,battlefield [53] battlefield,black [47] maternal,mortality [45] britishvogue,systemic Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: