The graph represents a network of 5,325 Twitter users whose tweets in the requested range contained "Maternal health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 December 2019 at 23:07 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 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 7-day, 2-hour, 37-minute period from Monday, 16 December 2019 at 22:12 UTC to Tuesday, 24 December 2019 at 00:49 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 : 5325
Unique Edges : 6342
Edges With Duplicates : 733
Total Edges : 7075
Number of Edge Types : 4
Tweet : 623
MentionsInRetweet : 5070
Mentions : 1218
Replies to : 164
Self-Loops : 623
Reciprocated Vertex Pair Ratio : 0.0245172124265323
Reciprocated Edge Ratio : 0.0478610063923947
Connected Components : 616
Single-Vertex Connected Components : 284
Maximum Vertices in a Connected Component : 3218
Maximum Edges in a Connected Component : 4505
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.233609
Graph Density : 0.000215200544615048
Modularity : 0.826951
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,325 Twitter users whose tweets in the requested range contained "Maternal health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 December 2019 at 23:07 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 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 7-day, 2-hour, 37-minute period from Monday, 16 December 2019 at 22:12 UTC to Tuesday, 24 December 2019 at 00:49 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 health
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:
[1447] maternal,mortality [1091] health,systems [1086] facing,maternal [1084] black,moms [1084] hold,health [1084] systems,accountable [1083] moms,facing [1083] mortality,epidemic [1083] epidemic,one [1083] one,major Top Word Pairs in Tweet in G1:
[1071] maternal,mortality [1066] hold,health [1066] health,systems [1066] systems,accountable [1065] black,moms [1065] moms,facing [1065] facing,maternal [1065] mortality,epidemic [1065] epidemic,one [1065] one,major Top Word Pairs in Tweet in G2:
[349] black,women [349] women,320 [349] 320,more [311] more,die [310] yang,black [310] die,complications [310] complications,childbirth [310] childbirth,part [310] part,explanation [212] andrew,yang Top Word Pairs in Tweet in G3:
[106] maternal,health [38] health,care [36] child,health [30] maternal,mortality [28] maternal,child [16] mental,health [15] death,rates [15] maternal,newborn [14] maternal,death [13] black,women Top Word Pairs in Tweet in G4:
[65] maternal,health [36] state,laws [35] related,deaths [33] pregnancy,related [28] black,maternal [28] laws,contributing [28] contributing,rises [28] rises,pregnancy [20] maternal,mortality [19] issue,#blackmaternalhealth Top Word Pairs in Tweet in G5:
[208] child,health [205] ms,helga [205] helga,fogstad [205] partnership,maternal [205] maternal,newborn [205] newborn,child [171] productive,meeting [171] meeting,ms [171] fogstad,executive [171] executive,director Top Word Pairs in Tweet in G6:
[153] commissioner,health [153] health,women [153] women,children [153] children,affairs [153] affairs,discussed [153] discussed,importance [153] importance,mortality [152] meeting,commissioner [151] aishamatawalle,meeting [2] mortality,improving Top Word Pairs in Tweet in G7:
[61] kebbi,state [42] undernutrition,obesity [33] maternal,child [29] child,health [26] pleasure,hosting [26] hosting,excellency [26] excellency,wife [26] wife,executive [26] executive,governor [26] governor,kebbi Top Word Pairs in Tweet in G8:
[131] mom,inck [131] inck,models [131] models,unique [131] unique,opportunity [131] opportunity,healthcare [131] healthcare,providers [131] providers,improve [131] improve,care [131] care,mothers [131] mothers,infants Top Word Pairs in Tweet in G9:
[33] maternal,child [27] child,health [20] maternal,reproductive [20] reproductive,health [20] health,care [19] asked,#whatwomenwant [19] #whatwomenwant,#1 [19] #1,demand [19] demand,respectful [19] respectful,dignified Top Word Pairs in Tweet in G10:
[76] individual,mandate [76] mandate,unconstitutional [42] 5th,circuit [42] circuit,court [42] court,appeals [42] appeals,ruled [42] ruled,aca [42] aca,individual [42] unconstitutional,punted [42] punted,decision Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: