The graph represents a network of 6,334 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, 28 March 2022 at 04:16 UTC.
The requested start date was Monday, 28 March 2022 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 5-day, 6-hour, 24-minute period from Sunday, 20 March 2022 at 22:08 UTC to Saturday, 26 March 2022 at 04:32 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 : 6334
Unique Edges : 3178
Edges With Duplicates : 12841
Total Edges : 16019
Number of Edge Types : 5
Retweet : 6141
MentionsInRetweet : 7420
Mentions : 1536
Tweet : 744
Replies to : 178
Self-Loops : 766
Reciprocated Vertex Pair Ratio : 0.0170612813370474
Reciprocated Edge Ratio : 0.0335501540568299
Connected Components : 765
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 2412
Maximum Edges in a Connected Component : 8663
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.209931
Graph Density : 0.000218456647536316
Modularity : 0.520401
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,334 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, 28 March 2022 at 04:16 UTC.
The requested start date was Monday, 28 March 2022 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 5-day, 6-hour, 24-minute period from Sunday, 20 March 2022 at 22:08 UTC to Saturday, 26 March 2022 at 04:32 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:
[1599] maternal,health [1507] communicable,diseases [1475] health,facilities [1456] over,half [1456] half,health [1456] facilities,tigray [1456] tigray,operational [1456] operational,hundreds [1455] hundreds,dying [1455] dying,communicable Top Word Pairs in Tweet in G1:
[1033] special,place [1033] place,hell [1033] hell,women [1033] women,help [1033] help,women [1033] women,madeline [1033] madeline,albright [1033] albright,sanctions [1033] sanctions,iraq [1033] iraq,led Top Word Pairs in Tweet in G2:
[1501] communicable,diseases [1451] over,half [1451] half,health [1451] health,facilities [1451] facilities,tigray [1451] tigray,operational [1451] operational,hundreds [1450] hundreds,dying [1450] dying,communicable [1317] diseases,well Top Word Pairs in Tweet in G3:
[112] maternal,health [69] child,health [65] maternal,child [34] health,care [30] maternal,mortality [26] maternal,infant [25] mental,health [25] black,maternal [18] health,nutrition [17] infant,health Top Word Pairs in Tweet in G4:
[242] maternal,health [234] black,maternal [231] congresswoman,laurenunderwood [231] laurenunderwood,health [231] health,policy [231] policy,expert [231] expert,co [231] co,founded [231] founded,black [231] health,caucus Top Word Pairs in Tweet in G5:
[245] maternal,health [234] health,bill [233] bill,included [233] included,government [233] government,funding [233] funding,package [233] package,means [233] means,once [233] once,signed [233] signed,law Top Word Pairs in Tweet in G6:
[83] maternal,health [47] black,maternal [31] health,week [23] mental,health [22] maternal,mental [21] health,care [19] maternal,child [19] child,health [18] maternal,mortality [15] health,stillbirth Top Word Pairs in Tweet in G7:
[102] doula,program [89] nychealthy,nycmayorsoffice [88] nycmayorsoffice,announced [88] announced,expansion [88] program,midwifery [88] midwifery,initiative [87] today,nychealthy [87] expansion,citywide [87] citywide,doula [86] nychealthcmo,today Top Word Pairs in Tweet in G8:
[161] workers,tea [161] tea,plantations [161] plantations,live [161] live,abject [161] abject,poverty [161] poverty,rs [161] rs,1000 [161] 1000,crores [161] crores,welcome [161] welcome,provided Top Word Pairs in Tweet in G9:
[112] maternal,health [107] reminder,oklahoma [107] oklahoma,ranks [107] ranks,bottom [107] bottom,five [107] five,maternal [107] health,outcomes [107] outcomes,means [107] means,pregnant [107] pregnant,people Top Word Pairs in Tweet in G10:
[52] very,productive [52] productive,meeting [52] meeting,ismael [52] ismael,barh [52] barh,bachar [52] bachar,#chad [52] #chad,ministry [52] ministry,health [52] health,secretary [52] secretary,general 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 G10:
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: