The graph represents a network of 6,883 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, 15 February 2021 at 04:53 UTC.
The requested start date was Monday, 15 February 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 5-day, 8-hour, 7-minute period from Monday, 08 February 2021 at 23:02 UTC to Sunday, 14 February 2021 at 07:10 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 : 6883
Unique Edges : 5470
Edges With Duplicates : 12558
Total Edges : 18028
Number of Edge Types : 5
Retweet : 5831
MentionsInRetweet : 9353
Replies to : 165
Mentions : 1765
Tweet : 914
Self-Loops : 933
Reciprocated Vertex Pair Ratio : 0.0230218610949894
Reciprocated Edge Ratio : 0.0450075642965204
Connected Components : 744
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 4235
Maximum Edges in a Connected Component : 13568
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.416543
Graph Density : 0.00022326929667596
Modularity : 0.495817
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,883 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, 15 February 2021 at 04:53 UTC.
The requested start date was Monday, 15 February 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 5-day, 8-hour, 7-minute period from Monday, 08 February 2021 at 23:02 UTC to Sunday, 14 February 2021 at 07:10 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:
[3121] maternal,health [1665] black,maternal [672] dr,shalon [601] health,crisis [520] maternal,mortality [498] health,#momnibus [407] health,care [372] nation,earth [365] rate,developed [363] maternal,death Top Word Pairs in Tweet in G1:
[781] maternal,health [576] dr,shalon [403] black,maternal [289] giving,birth [288] nation,earth [288] rate,developed [288] 2017,friend [288] friend,dr [288] shalon,irving [288] irving,died Top Word Pairs in Tweet in G2:
[287] maternal,health [247] black,maternal [226] save,moms' [226] moms',lives [225] mission,save [225] lives,thank [225] thank,morningmika [225] morningmika,morning_joe [225] morning_joe,opportunity [225] opportunity,talk Top Word Pairs in Tweet in G3:
[630] maternal,health [511] black,maternal [240] health,crisis [211] health,#momnibus [197] congress,pass [194] pass,bmhcaucus's [174] urge,congress [172] #momnibus,includes [170] bmhcaucus's,black [170] includes,twelve Top Word Pairs in Tweet in G4:
[185] maternal,health [86] black,maternal [71] maternal,child [70] child,health [45] covid,19 [34] republican,states [34] states,offered [34] offered,medicaid [34] medicaid,deal [34] deal,dumb Top Word Pairs in Tweet in G5:
[272] complicated,journey [272] journey,conservatorship [272] conservatorship,rise [272] rise,#freebritney [270] britney,spears' [270] spears',details [270] details,pop [270] pop,star's [270] star's,complicated [269] mtvnews,'framing Top Word Pairs in Tweet in G6:
[146] child,maternal [146] maternal,health [146] health,professional [146] professional,instance [146] instance,pregnancy [146] pregnancy,considered [146] considered,barrier [145] browneyed_babee,child [145] barrier,dis [59] karaga,district Top Word Pairs in Tweet in G7:
[95] maternal,health [63] reproductive,right [33] maternal,mortality [31] black,maternal [31] contraception,reproductive [31] right,maternal [31] health,reproductive [31] right,assisted [31] assisted,reproduction [30] reprorights,contraception Top Word Pairs in Tweet in G8:
[93] maternal,health [59] proud,join [58] health,pandemic [58] pandemic,response [58] response,act [57] repunderwood,proud [57] join,senwarren [57] senwarren,introduce [57] introduce,maternal [57] act,#momnibus Top Word Pairs in Tweet in G9:
[59] maternal,health [30] past,time [30] time,talk [30] talk,many [30] many,sites [30] sites,mean [30] mean,girl [30] girl,sorority [30] sorority,culture [30] culture,nursing Top Word Pairs in Tweet in G10:
[106] public,expenditure [106] expenditure,health [106] health,state [106] state,income [106] income,well [106] well,below [106] below,norm [106] norm,gujarat [106] gujarat,decelerating [106] decelerating,very Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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:
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Top Mentioned in G6:
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 G10: