The graph represents a network of 7,656 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, 21 June 2021 at 04:16 UTC.
The requested start date was Monday, 21 June 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 10-day, 6-hour, 55-minute period from Wednesday, 09 June 2021 at 22:01 UTC to Sunday, 20 June 2021 at 04:56 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 : 7656
Unique Edges : 4458
Edges With Duplicates : 11674
Total Edges : 16132
Number of Edge Types : 5
Retweet : 5351
MentionsInRetweet : 7161
Tweet : 1344
Replies to : 324
Mentions : 1952
Self-Loops : 1406
Reciprocated Vertex Pair Ratio : 0.0257126236183828
Reciprocated Edge Ratio : 0.0501361161524501
Connected Components : 1231
Single-Vertex Connected Components : 612
Maximum Vertices in a Connected Component : 4020
Maximum Edges in a Connected Component : 10247
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.112051
Graph Density : 0.00015042653840825
Modularity : 0.551373
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,656 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, 21 June 2021 at 04:16 UTC.
The requested start date was Monday, 21 June 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 10-day, 6-hour, 55-minute period from Wednesday, 09 June 2021 at 22:01 UTC to Sunday, 20 June 2021 at 04:56 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:
[2470] maternal,health [937] child,sex [929] improve,health [924] health,indicators [923] special,focus [923] focus,given [923] given,improve [923] indicators,women [923] women,under [896] under,modi Top Word Pairs in Tweet in G1:
[237] maternal,mortality [236] maternal,health [188] mortality,rate [184] 113,2016 [184] 2016,18 [183] 130,2014 [182] 16,113 [181] rate,fallen [181] fallen,130 [181] 2014,16 Top Word Pairs in Tweet in G2:
[683] child,sex [670] special,focus [670] focus,given [670] given,improve [670] improve,health [670] health,indicators [670] indicators,women [670] women,under [644] under,modi [600] sex,ratio Top Word Pairs in Tweet in G3:
[591] maternal,health [587] health,crisis [587] crisis,crazy [587] crazy,nonsense [587] nonsense,epidemic [587] epidemic,hurting [587] hurting,black [587] black,brown [587] brown,communities [587] communities,state Top Word Pairs in Tweet in G4:
[217] maternal,health [108] ignores,black [108] black,issues [108] issues,folks [108] folks,response [108] response,dc [108] dc,pride [108] pride,usual [108] usual,y'all [108] y'all,loud Top Word Pairs in Tweet in G5:
[166] health,care [138] access,health [137] care,services [134] communities,limited [134] limited,access [134] services,maternal [134] maternal,equipments [134] equipments,safaricom [134] safaricom,fund [120] fund,community Top Word Pairs in Tweet in G6:
[198] maternal,health [161] improve,maternal [155] lead,fewer [155] fewer,preterm [155] preterm,births [155] births,shown [155] shown,improve [155] health,helps [155] helps,women [155] women,stay Top Word Pairs in Tweet in G7:
[176] kira,johnson's [176] johnson's,story [176] story,lost [176] lost,life [176] life,routine [176] routine,section [176] section,2016 [176] 2016,black [176] black,people [176] people,4x Top Word Pairs in Tweet in G8:
[106] maternal,health [55] chairman,ceo [48] kenneth,frazier [45] frazier,award [45] health,equity [43] award,maternal [32] equity,honors [32] honors,legacy [32] legacy,company [32] company,chairman Top Word Pairs in Tweet in G9:
[136] maternal,health [79] black,maternal [66] juneteenth,urgent [66] urgent,call [66] call,black [66] health,solutions [61] angryblacklady,juneteenth [44] disingenuous,politicians [44] politicians,claim [44] claim,care Top Word Pairs in Tweet in G10:
[35] maternal,health [35] antenatal,care [26] health,care [22] maternal,mortality [20] improve,maternal [19] zamara_fdn,safespeak [19] safespeak,platformngo [19] platformngo,wrcommission [19] wrcommission,refcea [19] refcea,refugeesafrica 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 G8:
Top Replied-To in G9:
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: