The graph represents a network of 7,401 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, 11 May 2021 at 04:20 UTC.
The requested start date was Monday, 10 May 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 3-day, 21-hour, 11-minute period from Thursday, 06 May 2021 at 02:49 UTC to Monday, 10 May 2021 at 00:00 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 : 7401
Unique Edges : 4227
Edges With Duplicates : 12435
Total Edges : 16662
Number of Edge Types : 5
Retweet : 5753
MentionsInRetweet : 7766
Tweet : 1150
Mentions : 1761
Replies to : 232
Self-Loops : 1178
Reciprocated Vertex Pair Ratio : 0.0258006110671042
Reciprocated Edge Ratio : 0.0503033645890789
Connected Components : 943
Single-Vertex Connected Components : 426
Maximum Vertices in a Connected Component : 4487
Maximum Edges in a Connected Component : 12063
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.959903
Graph Density : 0.000165518173219835
Modularity : 0.528151
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,401 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, 11 May 2021 at 04:20 UTC.
The requested start date was Monday, 10 May 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 3-day, 21-hour, 11-minute period from Thursday, 06 May 2021 at 02:49 UTC to Monday, 10 May 2021 at 00:00 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:
[2205] mental,health [2119] maternal,health [1811] maternal,mental [919] black,maternal [593] health,awareness [566] awareness,week [489] health,services [460] black,mothers [385] health,crisis [369] ministry,health Top Word Pairs in Tweet in G1:
[809] mental,health [647] maternal,mental [349] awareness,week [348] health,awareness [93] uk,maternal [75] mmhalliance,maternal [68] perinatal,mental [64] pmhpuk,uk [56] maternal,infant [54] examining,maternal Top Word Pairs in Tweet in G2:
[355] maternal,health [246] black,maternal [111] health,crisis [88] mother,day [82] celebrate,mother [82] day,commit [82] commit,work [82] work,needs [82] needs,done [82] done,end Top Word Pairs in Tweet in G3:
[175] mental,health [151] maternal,health [137] maternal,mental [64] black,maternal [60] child,health [55] maternal,child [36] health,awareness [30] awareness,week [27] cori,bush [24] health,week Top Word Pairs in Tweet in G4:
[362] ministry,health [362] health,organized [362] organized,two [362] two,day [362] day,workshop [362] workshop,ncew [362] ncew,hq [362] hq,asmara [362] asmara,week [362] week,progress Top Word Pairs in Tweet in G5:
[332] black,mothers [332] mothers,face [332] face,systemic [332] systemic,inequality [332] inequality,discrimination [332] discrimination,lack [332] lack,access [332] access,many [332] many,basic [332] basic,health Top Word Pairs in Tweet in G6:
[190] rep,coribush [186] coribush,nearly [186] nearly,lost [186] lost,both [186] both,babies [186] babies,doctors [186] doctors,neglected [186] neglected,severe [186] severe,abdominal [186] abdominal,pain Top Word Pairs in Tweet in G7:
[246] maternal,health [244] gt,gt [167] black,maternal [135] health,crisis [126] hearing,black [122] today's,oversight [122] oversight,hearing [122] crisis,gt [122] gt,aoc [122] aoc,republicans Top Word Pairs in Tweet in G8:
[113] mental,health [109] congress,support [109] maternal,mental [108] urge,congress [105] support,critical [105] critical,funding [105] funding,maternal [105] health,#mmh [105] #mmh,#maternaljustice [98] #maternaljustice,momsrising Top Word Pairs in Tweet in G9:
[129] pandemic,contributed [129] contributed,soaring [129] soaring,hunger [129] hunger,acute [129] acute,declines [129] declines,maternal [129] maternal,health [129] health,care [129] care,threaten [129] threaten,tens Top Word Pairs in Tweet in G10:
[120] black,women [120] women,facing [120] facing,rates [120] rates,maternal [120] maternal,deaths [120] deaths,seen [120] seen,communities [120] communities,whether [120] whether,racist [120] racist,bias Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: