The graph represents a network of 4,317 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 Monday, 31 January 2022 at 05:14 UTC.
The requested start date was Monday, 31 January 2022 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 4-day, 7-hour, 36-minute period from Wednesday, 26 January 2022 at 17:17 UTC to Monday, 31 January 2022 at 00:53 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 : 4317
Unique Edges : 4948
Edges With Duplicates : 18165
Total Edges : 23113
Number of Edge Types : 5
Retweet : 6340
MentionsInRetweet : 10199
Tweet : 354
Mentions : 6120
Replies to : 100
Self-Loops : 394
Reciprocated Vertex Pair Ratio : 0.00834306691139663
Reciprocated Edge Ratio : 0.0165480721495946
Connected Components : 406
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 2431
Maximum Edges in a Connected Component : 19726
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.272431
Graph Density : 0.000648662968547092
Modularity : 0.354948
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,317 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 Monday, 31 January 2022 at 05:14 UTC.
The requested start date was Monday, 31 January 2022 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 4-day, 7-hour, 36-minute period from Wednesday, 26 January 2022 at 17:17 UTC to Monday, 31 January 2022 at 00:53 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:
[4362] pregnant,lactating [4361] lactating,mothers [4360] children,pregnant [4360] crisis,#tigray [4357] disproportionately,affected [4357] affected,humanitarian [4357] humanitarian,crisis [4353] mothers,disproportionately [1137] maternal,health [793] #tigray,act Top Word Pairs in Tweet in G1:
[568] pregnant,women [568] women,live [568] live,rural [568] rural,communities [568] communities,60 [568] 60,more [568] more,die [568] die,before [568] before,during [568] during,childbirth Top Word Pairs in Tweet in G2:
[3583] pregnant,lactating [3583] lactating,mothers [3582] children,pregnant [3582] crisis,#tigray [3579] affected,humanitarian [3579] humanitarian,crisis [3576] disproportionately,affected [3575] mothers,disproportionately [339] #tigray,act [313] #tigray,mu Top Word Pairs in Tweet in G3:
[444] maternal,health [438] child,maternal [438] health,#tigray [438] #tigray,continues [438] continues,suffer [438] suffer,due [438] due,collapsed [438] collapsed,health [438] health,system [438] system,deliver Top Word Pairs in Tweet in G4:
[436] traumatic,birth [435] someone,tells [435] tells,traumatic [435] birth,experience [435] experience,tell [435] tell,matters [435] matters,baby [434] ourmidwestlife,someone [434] baby,hea [6] midwifery,led Top Word Pairs in Tweet in G5:
[746] disproportionately,affected [744] pregnant,lactating [743] lactating,mothers [743] mothers,disproportionately [743] affected,humanitarian [743] humanitarian,crisis [743] crisis,#tigray [742] children,pregnant [448] #tigray,act [438] ukun_newyork,usun Top Word Pairs in Tweet in G6:
[70] maternal,health [48] black,maternal [44] health,week [43] black,mamas [42] national,call [41] 2022,black [41] week,national [41] call,join [41] join,black [41] mamas,matter Top Word Pairs in Tweet in G7:
[64] central,sahel [64] sahel,looking [64] looking,worst [64] worst,health [64] health,indicators [64] indicators,world [64] world,average [64] average,people [64] people,three [64] three,countries Top Word Pairs in Tweet in G8:
[56] maternal,health [23] maternal,child [23] child,health [20] mental,health [16] maternal,mortality [11] maternal,mental [10] black,maternal [6] improve,maternal [6] health,outcomes [6] covid,19 Top Word Pairs in Tweet in G9:
[2] do_kinder,jeremyfarrar [2] jeremyfarrar,michelle_cruk [2] michelle_cruk,ukri_ceo [2] ukri_ceo,universitiesuk [2] universitiesuk,union_newsuk [2] union_newsuk,evidencebase_im [2] evidencebase_im,techscommit [2] techscommit,1752group [2] mental,health Top Word Pairs in Tweet in G10:
[44] sc,maternal [44] maternal,mortality [44] mortality,rates [44] rates,9th [44] 9th,highest [44] highest,nation [44] nation,988 [44] 988,forces [44] forces,women [44] women,give Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: