The graph represents a network of 7,681 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, 09 September 2020 at 22:16 UTC.
The requested start date was Wednesday, 09 September 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 5-day, 1-hour, 18-minute period from Thursday, 03 September 2020 at 13:51 UTC to Tuesday, 08 September 2020 at 15:09 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 : 7681
Unique Edges : 4212
Edges With Duplicates : 14519
Total Edges : 18731
Number of Edge Types : 5
Retweet : 6358
MentionsInRetweet : 9926
Tweet : 572
Replies to : 651
Mentions : 1224
Self-Loops : 588
Reciprocated Vertex Pair Ratio : 0.00483458147691724
Reciprocated Edge Ratio : 0.00962264150943396
Connected Components : 625
Single-Vertex Connected Components : 258
Maximum Vertices in a Connected Component : 5468
Maximum Edges in a Connected Component : 14760
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.685578
Graph Density : 0.000179691229440611
Modularity : 0.511442
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,681 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, 09 September 2020 at 22:16 UTC.
The requested start date was Wednesday, 09 September 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 5-day, 1-hour, 18-minute period from Thursday, 03 September 2020 at 13:51 UTC to Tuesday, 08 September 2020 at 15:09 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:
[4866] maternal,mortality [1976] mortality,rate [1642] highest,maternal [1537] sentedcruz,us_fda [1302] mortality,rates [1005] 6th,highest [1002] texas,6th [996] rate,usa [995] usa,re [995] re,abomination Top Word Pairs in Tweet in G1:
[1484] sentedcruz,us_fda [786] maternal,mortality [782] eugenegu,sentedcruz [641] united,states [625] highest,rate [613] states,highest [610] us_fda,ted [608] chauvinistic,attitude [608] attitude,part [608] part,reason Top Word Pairs in Tweet in G2:
[977] maternal,mortality [974] highest,maternal [974] mortality,rate [971] texas,6th [971] 6th,highest [971] rate,usa [971] usa,re [971] re,abomination [970] halsey,texas [3] halsey,usa Top Word Pairs in Tweet in G3:
[421] maternal,mortality [389] mortality,rates [386] people,die [385] ted,cruz [385] cruz,never [385] never,pregnant [385] pregnant,clearly [385] clearly,knows [385] knows,nothing [385] nothing,maternal Top Word Pairs in Tweet in G4:
[352] mr,cruz [352] cruz,represents [352] represents,state [352] state,pregnancy [352] pregnancy,related [352] related,deaths [352] deaths,doubled [352] doubled,recent [352] recent,years [351] brandyzadrozny,mr Top Word Pairs in Tweet in G5:
[340] maternal,mortality [340] mortality,audit [340] audit,kes [340] kes,seorang [340] seorang,ibu [340] ibu,yg [340] yg,meninggal [340] meninggal,sebab [340] sebab,bersalin [340] bersalin,rumah Top Word Pairs in Tweet in G6:
[161] maternal,mortality [111] mortality,rates [72] ending,lives [72] lives,babies [72] babies,womb [72] womb,solution [72] solution,maternal [71] march_for_life,ending [57] expansion,abortion [57] abortion,pill Top Word Pairs in Tweet in G7:
[90] maternal,mortality [60] monday,b4 [60] b4,last [60] last,friend [60] friend,excited [60] excited,expectant [60] expectant,parent [60] parent,meet [60] meet,happy [60] happy,healthy Top Word Pairs in Tweet in G8:
[239] maternal,mortality [75] mortality,rate [53] mortality,rates [41] highest,maternal [29] life,threatening [28] 100,000 [23] black,women [22] developed,world [20] rate,developed [19] black,maternal Top Word Pairs in Tweet in G9:
[151] covid,19 [150] let's,clear [150] clear,years [150] years,scientific [150] scientific,evidence [150] evidence,show [150] show,medication [150] medication,abortion [150] abortion,safe [150] safe,effective Top Word Pairs in Tweet in G10:
[211] maternal,mortality [208] medications,erectile [208] erectile,dysfunction [208] dysfunction,more [208] more,dangerous [208] dangerous,mifeprex [208] mifeprex,maternal [208] mortality,tragic [208] tragic,17 [208] 17,deaths 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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Top Tweeters in G10: