The graph represents a network of 5,629 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, 20 May 2020 at 22:38 UTC.
The requested start date was Wednesday, 20 May 2020 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 13-day, 5-hour, 36-minute period from Wednesday, 06 May 2020 at 18:09 UTC to Tuesday, 19 May 2020 at 23:45 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 : 5629
Unique Edges : 3623
Edges With Duplicates : 8488
Total Edges : 12111
Number of Edge Types : 5
Retweet : 3626
MentionsInRetweet : 4790
Tweet : 704
Replies to : 490
Mentions : 2501
Self-Loops : 734
Reciprocated Vertex Pair Ratio : 0.0270391395279355
Reciprocated Edge Ratio : 0.0526545454545455
Connected Components : 808
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2480
Maximum Edges in a Connected Component : 6734
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.509539
Graph Density : 0.000217013806686689
Modularity : 0.563547
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,629 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, 20 May 2020 at 22:38 UTC.
The requested start date was Wednesday, 20 May 2020 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 13-day, 5-hour, 36-minute period from Wednesday, 06 May 2020 at 18:09 UTC to Tuesday, 19 May 2020 at 23:45 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 G2:
[184] pregnancy,childbirth [46] women,die [42] day,approximately [38] approximately,more [37] more,800 [31] 800,women [31] die,preventable [30] preventable,causes [28] causes,related [28] related,pregnancy Top Word Pairs in Tweet in G3:
[124] maternal,mortality [123] mortality,rate [122] rate,developed [122] highest,maternal [122] developed,world [122] fun,pregnancy [122] pregnancy,inconvenience [122] inconvenience,fact [122] fact,#1 [122] #1,highest Top Word Pairs in Tweet in G4:
[102] admitted,hospital [62] giving,birth [52] pregnant,women [51] women,1000 [51] 1000,giving [50] birth,admitted [50] hospital,uk [50] uk,covid [50] covid,19 [50] 19,around Top Word Pairs in Tweet in G5:
[230] maternal,mortality [227] black,maternal [226] researching,history [226] history,black [226] mortality,enraged [226] enraged,find [226] find,eugenics [226] eugenics,board [226] jacobinoire,researching [226] project,absolutely Top Word Pairs in Tweet in G6:
[237] maternal,mortality [231] morbidity,mortality [230] maternal,morbidity [230] maternal,health [230] black,women [230] reduce,maternal [230] racial,disparities [230] conditions,increase [229] maternal,conditions [4] virtual,workshop Top Word Pairs in Tweet in G7:
[93] mother's,day [49] infant,mortality [42] mortality,uganda [37] day,time [24] time,more [23] more,robust [20] robust,conversation [18] conversation,maternal [17] maternal,infant [17] uganda,trying Top Word Pairs in Tweet in G8:
[48] maternal,mortality [48] mortality,rates [48] #pakistan,already [47] already,crisis [47] crisis,before [47] before,#covid19 [47] #covid19,pandemic [47] one,highest [47] highest,maternal [47] rates,asia Top Word Pairs in Tweet in G9:
[147] health,systems [146] #covid19,pandemic [141] potential,disruptions [141] disruptions,health [141] systems,decreased [135] decreased,access [98] access,food [90] food,caused [90] caused,#covid19 [65] pandemic,cause Top Word Pairs in Tweet in G10:
[83] child,mortality [40] mortality,rates [31] staggering,projections [31] projections,unicef [31] unicef,effects [31] effects,indiscriminate [31] indiscriminate,lockdown [31] lockdown,poor [31] poor,countries [31] countries,child 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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