The graph represents a network of 7,496 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, 06 December 2021 at 05:13 UTC.
The requested start date was Monday, 06 December 2021 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 2-day, 4-hour, 25-minute period from Friday, 03 December 2021 at 20:33 UTC to Monday, 06 December 2021 at 00:59 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 : 7496
Unique Edges : 1778
Edges With Duplicates : 14682
Total Edges : 16460
Number of Edge Types : 5
Retweet : 7248
MentionsInRetweet : 8542
Replies to : 137
Mentions : 386
Tweet : 147
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0.00156652120398344
Reciprocated Edge Ratio : 0.00312814210702715
Connected Components : 221
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 6616
Maximum Edges in a Connected Component : 15183
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.401565
Graph Density : 0.000159320016261286
Modularity : 0.457514
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,496 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, 06 December 2021 at 05:13 UTC.
The requested start date was Monday, 06 December 2021 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 2-day, 4-hour, 25-minute period from Friday, 03 December 2021 at 20:33 UTC to Monday, 06 December 2021 at 00:59 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:
[5002] maternal,mortality [3599] infant,maternal [3592] give,birth [3589] force,women [3589] women,give [3588] woman's,health [3587] right,force [3587] birth,ignore [3587] ignore,infant [3586] mortality,dictate Top Word Pairs in Tweet in G1:
[3289] maternal,mortality [3288] right,force [3288] force,women [3288] women,give [3288] give,birth [3288] birth,ignore [3288] ignore,infant [3288] infant,maternal [3288] mortality,dictate [3288] dictate,woman's Top Word Pairs in Tweet in G2:
[958] still,mind [958] mind,anger [958] anger,acb [958] acb,comments [958] comments,today [958] today,people [958] people,carry [958] carry,pregnancy [958] pregnancy,term [958] term,without Top Word Pairs in Tweet in G3:
[1034] maternal,mortality [946] shouldn,sit [946] sit,well [946] well,texas [946] texas,national [946] national,leader [946] leader,women [946] women,health [946] health,clinic [946] clinic,closures Top Word Pairs in Tweet in G4:
[777] maternal,health [676] health,issues [675] wanted,give [675] give,special [675] special,thanks [675] thanks,vp [675] vp,continued [675] continued,leadership [675] leadership,maternal [675] issues,thanks Top Word Pairs in Tweet in G5:
[173] maternal,mortality [157] 1st,child [157] child,poverty [157] poverty,2nd [157] 2nd,maternal [156] infant,mortality [155] 3rd,infant [155] mortality,5th [155] 5th,gun [155] gun,deaths Top Word Pairs in Tweet in G6:
[127] maternal,mortality [107] worst,maternal [106] cturlington,united [106] united,states [106] states,worst [106] mortality,rate [106] rate,industrialized [106] industrialized,world [106] world,mississippi [105] arashshirazi,cturlington Top Word Pairs in Tweet in G7:
[88] choice,baby [88] baby,34 [88] 34,yrs [88] yrs,11 [88] 11,mos [88] mos,old [88] old,35 [88] 35,yrs [88] yrs,mo [88] mo,old Top Word Pairs in Tweet in G8:
[58] begin,united [58] united,states [58] states,one [58] one,highest [58] highest,maternal [58] maternal,infant [58] infant,mortality [58] mortality,rates [57] sengillibrand,begin [5] repshontelbrown,right Top Word Pairs in Tweet in G9:
[2] public_citizen,slovakia [2] slovakia,slovenia [2] slovenia,cuba [2] cuba,venezuela [2] venezuela,south [2] south,africa [2] africa,eritrea [2] eritrea,kenya [2] kenya,nicaragua [2] nicaragua,bolivia Top Word Pairs in Tweet in G10:
[27] maternal,health [13] child,health [12] maternal,child [7] health,care [5] mental,health [5] maternal,mortality [5] black,maternal [5] join,exciting [5] exciting,team [5] team,leading Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 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: