The graph represents a network of 6,414 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, 18 November 2020 at 23:27 UTC.
The requested start date was Wednesday, 18 November 2020 at 01:01 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, 23-hour, 21-minute period from Wednesday, 04 November 2020 at 01:35 UTC to Wednesday, 18 November 2020 at 00:56 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 : 6414
Unique Edges : 3097
Edges With Duplicates : 8874
Total Edges : 11971
Number of Edge Types : 5
Retweet : 4165
MentionsInRetweet : 5099
Mentions : 1440
Tweet : 739
Replies to : 528
Self-Loops : 762
Reciprocated Vertex Pair Ratio : 0.0150262960180316
Reciprocated Edge Ratio : 0.0296076980014804
Connected Components : 912
Single-Vertex Connected Components : 367
Maximum Vertices in a Connected Component : 3299
Maximum Edges in a Connected Component : 7382
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 11.449025
Graph Density : 0.000164223444825858
Modularity : 0.565509
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,414 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, 18 November 2020 at 23:27 UTC.
The requested start date was Wednesday, 18 November 2020 at 01:01 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, 23-hour, 21-minute period from Wednesday, 04 November 2020 at 01:35 UTC to Wednesday, 18 November 2020 at 00:56 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:
[3907] maternal,mortality [1331] mortality,rate [1275] black,women [994] mortality,rates [775] high,maternal [743] women,dying [743] dying,childbirth [740] need,talk [740] talk,number [740] number,black Top Word Pairs in Tweet in G1:
[769] maternal,mortality [758] black,women [738] mortality,rate [735] need,talk [735] talk,number [735] number,black [735] women,dying [735] dying,childbirth [735] childbirth,england [735] england,maternal Top Word Pairs in Tweet in G2:
[560] maternal,mortality [552] mortality,rates [551] nigeria,high [551] high,maternal [551] rates,earth [551] earth,10 [551] 10,5m [551] 5m,school [551] school,children [551] children,asuu Top Word Pairs in Tweet in G3:
[281] maternal,mortality [64] mortality,rate [59] mortality,rates [46] black,women [37] maternal,child [36] child,mortality [32] infant,mortality [32] black,maternal [28] disparities,maternal [27] racial,disparities Top Word Pairs in Tweet in G4:
[228] maternal,mortality [99] mortality,rate [93] grandmother,died [93] died,during [93] during,childbirth [93] childbirth,1950s [93] 1950s,today [93] today,maternal [93] rate,more [93] more,doubled Top Word Pairs in Tweet in G5:
[61] maternal,mortality [53] inequalities,black [34] maternal,health [34] health,care [33] women,center [33] center,kamalaharris [33] kamalaharris,alma [33] alma,mater [33] mater,howardu [33] howardu,focus Top Word Pairs in Tweet in G6:
[173] black,women [172] thank,black [172] women,saving [172] saving,america [172] america,demand [172] demand,passing [172] passing,black [172] black,maternal [172] maternal,mortality [172] mortality,plan Top Word Pairs in Tweet in G7:
[79] child,marriage [69] human,rights [67] maternal,morbidity [67] morbidity,mortality [66] marriage,violates [66] violates,human [66] rights,girl [66] girl,child [66] child,increases [66] increases,risk Top Word Pairs in Tweet in G8:
[148] maternal,mortality [145] seriously,y'all [145] y'all,skipped [145] skipped,banditry [145] banditry,internally [145] internally,displaced [145] displaced,people [145] people,poverty [145] poverty,infant [145] infant,maternal Top Word Pairs in Tweet in G9:
[96] rolling,back [96] back,aca [96] aca,cut [96] cut,access [96] access,critical [96] critical,gains [96] gains,women [96] women,health [96] health,time [96] time,people Top Word Pairs in Tweet in G10:
[135] high,maternal [135] maternal,mortality [135] school,children [128] scary,north [128] north,blessed [128] blessed,1st [128] 1st,class [128] class,insecurity [128] insecurity,high [128] mortality,school Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: