The graph represents a network of 7,350 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, 20 December 2021 at 05:17 UTC.
The requested start date was Monday, 20 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 7-day, 5-hour, 25-minute period from Sunday, 12 December 2021 at 19:26 UTC to Monday, 20 December 2021 at 00:51 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 : 7350
Unique Edges : 3995
Edges With Duplicates : 13055
Total Edges : 17050
Number of Edge Types : 5
Retweet : 6232
MentionsInRetweet : 8407
Tweet : 800
Mentions : 1354
Replies to : 257
Self-Loops : 825
Reciprocated Vertex Pair Ratio : 0.00967014075427098
Reciprocated Edge Ratio : 0.0191550494838778
Connected Components : 764
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 4072
Maximum Edges in a Connected Component : 11556
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.360568
Graph Density : 0.000173969710349781
Modularity : 0.493127
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,350 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, 20 December 2021 at 05:17 UTC.
The requested start date was Monday, 20 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 7-day, 5-hour, 25-minute period from Sunday, 12 December 2021 at 19:26 UTC to Monday, 20 December 2021 at 00:51 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:
[4765] maternal,health [2068] build,back [1246] health,care [1112] back,better [1100] better,act [1043] postpartum,medicaid [1040] medicaid,coverage [1039] act,invests [1039] invests,maternal [1039] care,extending Top Word Pairs in Tweet in G1:
[1658] maternal,health [1650] build,back [851] back,better [851] better,act [850] health,care [849] act,invests [849] invests,maternal [849] care,extending [849] extending,mandatory [849] mandatory,postpartum Top Word Pairs in Tweet in G2:
[1777] maternal,health [657] health,crisis [649] white,house [641] house,maternal [633] allysonfelix,white [633] health,summit [632] olympian,allysonfelix [632] tackling,maternal [631] summit,tackling [631] crisis,starts Top Word Pairs in Tweet in G3:
[508] nature,article [508] article,2022 [508] 2022,additional [508] additional,million [508] million,wasted [508] wasted,kids [508] kids,million [508] million,stunted [508] stunted,kids [508] kids,168k Top Word Pairs in Tweet in G4:
[377] maternal,health [154] day,action [108] health,day [68] black,maternal [65] build,back [63] health,crisis [61] first,maternal [53] white,house [52] vice,president [49] kamala,harris Top Word Pairs in Tweet in G5:
[155] maternal,health [82] maternal,child [76] child,health [32] mental,health [25] maternal,mortality [24] health,problem [24] disparities,maternal [23] health,outcomes [23] maternal,newborn [23] racial,disparities Top Word Pairs in Tweet in G6:
[273] vile,mark [273] mark,words [273] words,decision [273] decision,increase [273] increase,marriageable [273] marriageable,age [273] age,21 [273] 21,something [273] something,improve [273] improve,schooling Top Word Pairs in Tweet in G7:
[222] child,tax [222] tax,credit [221] stop,fighting [221] fighting,permanent [221] permanent,expansion [221] expansion,child [221] credit,universal [221] universal,pre [221] pre,climate [221] climate,solutions Top Word Pairs in Tweet in G8:
[11] maternal,health [7] health,prioritized [7] prioritized,before [7] before,anything [7] anything,#endchemicalabortion [7] studentsforlife,maternal [5] health,care [4] maternal,mortality [3] gannitonya,beiker000 [3] beiker000,studentsforlife Top Word Pairs in Tweet in G9:
[126] right,age [126] age,knot [126] knot,girl [126] girl,21 [126] 21,welcome [126] welcome,decision [126] decision,bjp [126] bjp,govt [126] govt,more [126] more,girls Top Word Pairs in Tweet in G10:
[94] thank,friend [94] friend,joel [94] joel,lamstein [94] lamstein,advancing [94] advancing,#healthforall [94] #healthforall,jsihealth [94] jsihealth,values [94] values,incredible [94] incredible,work [93] drtedros,thank Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: