The graph represents a network of 7,259 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, 06 October 2021 at 22:20 UTC.
The requested start date was Wednesday, 06 October 2021 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 12-day, 1-hour, 37-minute period from Thursday, 23 September 2021 at 22:22 UTC to Wednesday, 06 October 2021 at 00:00 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 : 7259
Unique Edges : 3959
Edges With Duplicates : 13368
Total Edges : 17327
Number of Edge Types : 5
Retweet : 6031
MentionsInRetweet : 7905
Tweet : 725
Replies to : 503
Mentions : 2163
Self-Loops : 776
Reciprocated Vertex Pair Ratio : 0.0233132788998711
Reciprocated Edge Ratio : 0.0455643044619423
Connected Components : 722
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 4803
Maximum Edges in a Connected Component : 13561
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.025178
Graph Density : 0.000180788675936384
Modularity : 0.529524
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,259 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, 06 October 2021 at 22:20 UTC.
The requested start date was Wednesday, 06 October 2021 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 12-day, 1-hour, 37-minute period from Thursday, 23 September 2021 at 22:22 UTC to Wednesday, 06 October 2021 at 00:00 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:
[2994] maternal,mortality [923] life,death [922] women,carry [921] complicating,life [921] death,medical [921] medical,decisions [921] decisions,forcing [921] forcing,women [918] texas,gop [918] gop,attack Top Word Pairs in Tweet in G1:
[860] texas,gop [860] gop,attack [860] attack,women [860] women,deadly [860] deadly,complicating [860] complicating,life [860] life,death [860] death,medical [860] medical,decisions [860] decisions,forcing Top Word Pairs in Tweet in G2:
[188] black,women [167] women,die [167] die,pregnancy [167] pregnancy,related [167] related,complications [167] complications,higher [167] higher,rate [167] rate,large [167] large,wealthy [167] wealthy,country Top Word Pairs in Tweet in G3:
[193] maternal,mortality [58] mortality,rates [39] mortality,rate [39] rate,maternal [38] maternal,death [37] taliban,regulations [37] regulations,led [37] led,lack [37] lack,adequate [37] adequate,medical Top Word Pairs in Tweet in G4:
[250] reproductive,justice [250] justice,goes [250] goes,far [250] far,beyond [250] beyond,abortion [250] abortion,access [250] access,contraception [250] contraception,full [250] full,bodily [250] bodily,autonomy Top Word Pairs in Tweet in G5:
[494] right,children [247] #reprojustice,includes [247] includes,right [247] children,abortion [247] abortion,contraception [247] contraception,right [246] sistersong_woc,#reprojustice [9] maternal,mortality [3] black,maternal [3] sobering,statistics Top Word Pairs in Tweet in G6:
[260] maternal,mortality [257] infant,maternal [252] states,eager [252] eager,restrict [252] restrict,abortion [252] abortion,devastating [252] devastating,rates [252] rates,infant [230] slate,states [5] women,carry Top Word Pairs in Tweet in G7:
[166] infant,mortality [163] mortality,rates [162] maternal,infant [161] developed,country [157] rates,developed [149] highest,maternal [147] aaronparnas,omg [147] omg,already [147] already,highest [146] aboutlungcancer,aaronparnas Top Word Pairs in Tweet in G8:
[45] maternal,mortality [22] mortality,rate [12] eyesore99848340,morpheouso [12] ronlabarre,traveler3906 [12] alkivari,meljonesladadee [12] meljonesladadee,ladyfey12 [12] ladyfey12,coxeanne [12] coxeanne,notabrokenthing [12] notabrokenthing,nevergetfooled [11] brittan66989806,chronic_chels Top Word Pairs in Tweet in G9:
[156] mississippi,highest [156] highest,rate [156] nation,highest [155] rate,residents [155] residents,without [155] without,health [155] health,insurance [155] insurance,nation [155] highest,poverty [155] poverty,rate Top Word Pairs in Tweet in G10:
[175] maternal,mortality [77] unsafe,abortion [55] teenage,pregnancy [50] unsafe,abortions [44] cause,maternal [43] leading,cause [41] fertility,maternal [41] pregnancy,rates [41] rates,remain [41] remain,highest Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: