The graph represents a network of 8,062 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, 13 September 2021 at 04:18 UTC.
The requested start date was Monday, 13 September 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, 11-hour, 0-minute period from Wednesday, 01 September 2021 at 17:55 UTC to Sunday, 12 September 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 : 8062
Unique Edges : 5409
Edges With Duplicates : 11967
Total Edges : 17376
Number of Edge Types : 5
Retweet : 5502
MentionsInRetweet : 7922
Tweet : 1069
Mentions : 2310
Replies to : 573
Self-Loops : 1113
Reciprocated Vertex Pair Ratio : 0.0200100553041729
Reciprocated Edge Ratio : 0.0392350157728707
Connected Components : 1075
Single-Vertex Connected Components : 397
Maximum Vertices in a Connected Component : 4212
Maximum Edges in a Connected Component : 11414
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.790403
Graph Density : 0.000156090878743946
Modularity : 0.572137
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 8,062 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, 13 September 2021 at 04:18 UTC.
The requested start date was Monday, 13 September 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, 11-hour, 0-minute period from Wednesday, 01 September 2021 at 17:55 UTC to Sunday, 12 September 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:
[1886] maternal,health [722] maternal,mortality [562] first,country [562] country,caribbean [562] caribbean,legalize [562] legalize,abortion [562] abortion,barbados [562] barbados,1983 [562] 1983,decision [562] decision,reduced Top Word Pairs in Tweet in G1:
[670] maternal,health [352] health,crisis [240] mental,health [210] maternal,mental [160] crisis,congress [158] address,ongoing [158] ongoing,maternal [128] congress,make [128] make,investments [126] investments,advance Top Word Pairs in Tweet in G2:
[559] first,country [559] country,caribbean [559] caribbean,legalize [559] legalize,abortion [559] abortion,barbados [559] barbados,1983 [559] 1983,decision [559] decision,reduced [559] reduced,maternal [558] saph_alexander,first Top Word Pairs in Tweet in G3:
[153] maternal,health [87] maternal,child [82] child,health [51] maternal,mortality [30] health,care [29] mental,health [24] ù,ù [21] health,learn [21] racial,disparities [21] disparities,maternal Top Word Pairs in Tweet in G4:
[177] save,date [126] black,maternal [122] maternal,health [101] tuesday,14th [100] please,save [100] date,bellribeiroaddy [100] bellribeiroaddy,secured [100] secured,90 [100] 90,minute [100] minute,westminster Top Word Pairs in Tweet in G5:
[141] health,care [107] quality,health [107] black,mothers [106] america,disparities [106] disparities,access [106] access,quality [106] care,led [106] led,black [106] mothers,dying [106] dying,far Top Word Pairs in Tweet in G6:
[207] maternal,mortality [205] shockingly,high [205] high,maternal [205] black,women [205] women,situation [205] situation,dire [204] nowthisnews,shockingly [126] mortality,rate [126] rate,black [79] mortality,rateâ Top Word Pairs in Tweet in G7:
[213] make,inroads [213] inroads,lead [213] lead,gutting [213] gutting,protections [213] protections,roe [213] roe,provided [213] morning_joe,joycewhitevance [211] joycewhitevance,cases [211] cases,make [4] rate,maternal Top Word Pairs in Tweet in G8:
[175] today,health [175] health,minister [175] minister,sindh [175] sindh,mam [175] mam,azra [175] azra,pechuho [175] pechuho,going [175] going,inaugurate [175] inaugurate,80 [175] 80,beded Top Word Pairs in Tweet in G9:
[123] mar,msf [123] msf,found [123] found,70 [123] 70,health [123] health,systems [123] systems,#tigray [123] #tigray,destroyed [123] destroyed,unocha [123] unocha,refugees [123] refugees,reports Top Word Pairs in Tweet in G10:
[89] safe,abortion [60] secretary,hillaryclinton [60] hillaryclinton,responds [60] responds,question [60] question,role [60] role,government [60] government,supporting [60] supporting,access [60] access,safe [59] hillarypix,secretary Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: