The graph represents a network of 7,608 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, 29 September 2021 at 22:19 UTC.
The requested start date was Wednesday, 29 September 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, 2-hour, 7-minute period from Thursday, 16 September 2021 at 21:46 UTC to Tuesday, 28 September 2021 at 23:54 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 : 7608
Unique Edges : 4277
Edges With Duplicates : 12884
Total Edges : 17161
Number of Edge Types : 5
Retweet : 5956
MentionsInRetweet : 7917
Replies to : 513
Mentions : 1990
Tweet : 785
Self-Loops : 832
Reciprocated Vertex Pair Ratio : 0.0184036176254075
Reciprocated Edge Ratio : 0.0361420900454358
Connected Components : 828
Single-Vertex Connected Components : 340
Maximum Vertices in a Connected Component : 3653
Maximum Edges in a Connected Component : 9184
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.255835
Graph Density : 0.000167328863212905
Modularity : 0.553577
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,608 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, 29 September 2021 at 22:19 UTC.
The requested start date was Wednesday, 29 September 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, 2-hour, 7-minute period from Thursday, 16 September 2021 at 21:46 UTC to Tuesday, 28 September 2021 at 23:54 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:
[3391] maternal,mortality [1206] mortality,rate [936] 100,000 [829] mortality,rates [753] infant,mortality [642] rate,under [641] countries,abortion [640] abortion,legal [640] legal,mortality [640] under,100 Top Word Pairs in Tweet in G1:
[640] countries,abortion [640] abortion,legal [640] legal,mortality [640] mortality,rate [640] rate,under [640] under,100 [640] 100,000 [640] 000,procedures [639] gabotuitero,countries [639] procedures,quarter Top Word Pairs in Tweet in G2:
[157] black,women [152] maternal,mortality [129] women,die [129] die,pregnancy [129] pregnancy,related [129] related,complications [129] complications,higher [129] higher,rate [129] rate,large [129] large,wealthy Top Word Pairs in Tweet in G3:
[374] maternal,mortality [372] #1,medical [372] medical,bankruptcies [372] bankruptcies,#1 [372] #1,rural [372] rural,hospital [372] hospital,closures [372] closures,capita [372] capita,bottom [372] bottom,infant Top Word Pairs in Tweet in G4:
[309] infant,mortality [308] maternal,infant [298] mortality,rates [297] developed,country [294] rates,developed [284] highest,maternal [283] aaronparnas,omg [283] omg,already [283] already,highest [282] aboutlungcancer,aaronparnas Top Word Pairs in Tweet in G5:
[223] maternal,mortality [80] mortality,rates [59] mortality,rate [48] infant,mortality [39] giving,birth [39] rate,maternal [38] women,die [38] medical,care [38] maternal,death [37] taliban,regulations Top Word Pairs in Tweet in G6:
[120] maternal,mortality [80] mortality,rates [75] reducing,maternal [70] drtedros,whoemro [70] whoemro,over [70] over,past [70] past,20 [70] 20,years [70] years,significant [70] significant,health Top Word Pairs in Tweet in G7:
[214] minister,country [214] country,female [214] female,literacy [214] literacy,rate [214] rate,48 [214] 48,one [214] one,world's [214] world's,highest [214] highest,rates [214] rates,maternal Top Word Pairs in Tweet in G8:
[152] black,women [129] #covid19,vaccine [129] vaccine,safe [129] safe,pregnant [129] pregnant,women [129] women,black [129] women,please [129] please,talk [129] talk,gyn [129] gyn,getting Top Word Pairs in Tweet in G9:
[185] pro,life [185] life,movement [185] movement,life [185] life,controlling [185] controlling,sex [185] sex,care [185] care,maternal [184] maxkennerly,pro [184] maternal,mortalit [20] male,dominated Top Word Pairs in Tweet in G10:
[40] maternal,mortality [20] mortality,rate [10] unionwoman226,virginia_house [10] laverne19228030,fight4women [10] fight4women,thesinghman [10] thesinghman,frittte1 [10] frittte1,janeagain3 [10] mortality,rates [9] foxoverhedgehog,abortionchat [8] architectprod,pissoffhoser Top Replied-To in Entire Graph:
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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: