The graph represents a network of 6,357 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, 09 August 2021 at 04:23 UTC.
The requested start date was Monday, 09 August 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 11-day, 4-hour, 29-minute period from Monday, 26 July 2021 at 00:30 UTC to Friday, 06 August 2021 at 05:00 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 : 6357
Unique Edges : 3899
Edges With Duplicates : 9826
Total Edges : 13725
Number of Edge Types : 5
Tweet : 1195
Retweet : 4311
MentionsInRetweet : 5958
Replies to : 311
Mentions : 1950
Self-Loops : 1244
Reciprocated Vertex Pair Ratio : 0.0285042202850422
Reciprocated Edge Ratio : 0.0554284945513252
Connected Components : 1009
Single-Vertex Connected Components : 450
Maximum Vertices in a Connected Component : 2806
Maximum Edges in a Connected Component : 7545
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.274555
Graph Density : 0.000183961962022014
Modularity : 0.544474
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,357 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, 09 August 2021 at 04:23 UTC.
The requested start date was Monday, 09 August 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 11-day, 4-hour, 29-minute period from Monday, 26 July 2021 at 00:30 UTC to Friday, 06 August 2021 at 05:00 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:
[1987] maternal,health [558] child,health [551] maternal,child [388] supports,maternal [386] health,sector [380] past,four [379] ngo,supports [379] discharging,detained [379] detained,mothers [379] mothers,past Top Word Pairs in Tweet in G1:
[170] child,health [165] maternal,health [149] maternal,child [54] fighting,stigma [50] mental,health [43] maternal,infant [37] maternal,mental [28] health,care [28] disparities,maternal [28] racial,disparities Top Word Pairs in Tweet in G2:
[377] guys,ngo [377] ngo,supports [377] supports,maternal [377] maternal,health [377] health,sector [377] sector,discharging [377] discharging,detained [377] detained,mothers [377] mothers,past [377] past,four Top Word Pairs in Tweet in G3:
[110] maternal,health [67] maternal,mortality [62] black,women [45] black,maternal [40] passed,appropriations [39] appropriations,legislation [39] legislation,included [37] federal,programs [36] included,robust [36] robust,funding Top Word Pairs in Tweet in G4:
[23] maternal,health [20] child,health [17] maternal,newborn [16] maternal,child [14] education,screening [14] maternal,oral [14] oral,health [14] investing,blood [13] maternal,#mentalhealth [11] income,countries Top Word Pairs in Tweet in G5:
[66] forced,flee [66] flee,walk [66] walk,days [66] days,under [66] under,blazing [66] blazing,sun [66] sun,reach [66] reach,safety [66] safety,protection [66] protection,merhawit Top Word Pairs in Tweet in G6:
[61] maternal,health [48] moms,babies [47] ll,sign [47] sign,nation's [47] nation's,comprehensive [47] comprehensive,law [47] law,bring [47] bring,care [47] care,directly [47] directly,homes Top Word Pairs in Tweet in G7:
[59] maternal,health [39] reproductive,health [37] preventable,maternal [36] health,care [34] sexual,reproductive [33] health,rights [33] rights,encompass [33] encompass,efforts [33] efforts,eliminate [33] eliminate,preventable Top Word Pairs in Tweet in G8:
[74] maternal,health [22] maternal,fetal [22] fetal,health [20] live,maternal [20] usnews,live [19] health,webinar [19] webinar,event [19] event,discussing [19] discussing,racial [19] racial,disparities Top Word Pairs in Tweet in G9:
[51] 40,years [50] #worldbreastfeedingweek,iâ [50] iâ,proud [50] proud,highlight [50] highlight,usaidâ [50] usaidâ,impact [50] impact,over [50] over,40 [50] years,supporting [50] supporting,#breastfeeding Top Word Pairs in Tweet in G10:
[65] maternal,health [47] #covid19,maternal [47] health,reproduction [31] twaweza_uganda,minofhealthug [24] happy,month [24] month,rotary [24] rotary,family [24] family,fellow [24] fellow,rotarians [24] rotarians,world Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: