The graph represents a network of 5,396 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, 30 March 2020 at 04:56 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 16-hour, 16-minute period from Tuesday, 17 March 2020 at 21:44 UTC to Sunday, 29 March 2020 at 14:01 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 : 5396
Unique Edges : 6356
Edges With Duplicates : 672
Total Edges : 7028
Number of Edge Types : 4
Replies to : 321
Mentions : 1261
MentionsInRetweet : 4663
Tweet : 783
Self-Loops : 783
Reciprocated Vertex Pair Ratio : 0.0203279808677827
Reciprocated Edge Ratio : 0.039845973547631
Connected Components : 735
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 2982
Maximum Edges in a Connected Component : 4471
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.827936
Graph Density : 0.000205177212241794
Modularity : 0.849481
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,396 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, 30 March 2020 at 04:56 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 16-hour, 16-minute period from Tuesday, 17 March 2020 at 21:44 UTC to Sunday, 29 March 2020 at 14:01 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:
[978] maternal,health [533] child,health [519] maternal,child [387] maternal,mortality [274] health,care [273] mental,health [259] covid,19 [252] black,maternal [219] thousands,women [217] tens,thousands Top Word Pairs in Tweet in G1:
[103] maternal,health [61] child,health [59] maternal,child [27] maternal,mortality [25] mental,health [24] health,system [22] coronavirus,threatens [22] threatens,already [22] already,strained [22] strained,maternal Top Word Pairs in Tweet in G2:
[194] women,health [194] health,more [194] more,gynecology [194] gynecology,women [194] women,twice [194] twice,men [194] men,suffer [194] suffer,anxiety [194] anxiety,disorders [191] disorders,maternal Top Word Pairs in Tweet in G3:
[211] centre,set [211] set,within [211] within,72 [211] 72,hours [205] schools,closed [205] until,easter [202] diagnostic,centre [201] hours,schools [201] closed,immediately [201] immediately,until Top Word Pairs in Tweet in G4:
[145] induced,labor [144] tens,thousands [144] thousands,women [144] visitors,induced [144] labor,converted [144] converted,delivery [141] delivery,wards [140] wards,coronavirus [140] coronavirus,spreads [140] spreads,tens Top Word Pairs in Tweet in G5:
[190] child,health [189] director,maternal [189] maternal,child [188] read,article [188] formerly,director [187] please,read [187] article,prof [187] prof,anthony [187] anthony,costello [187] costello,formerly Top Word Pairs in Tweet in G6:
[30] maternal,mortality [29] maternal,health [24] maternal,child [23] covid,19 [20] child,health [20] first,lady [20] one,day [20] day,advocacy [20] mortality,child [20] child,survival Top Word Pairs in Tweet in G7:
[210] built,fully [210] fully,equipped [182] amana,hospital [181] hospital,built [141] hospital,hospital [141] benefit,poor [141] poor,kano [111] kano,state [103] state,very [102] kwankwasorm,benefit Top Word Pairs in Tweet in G8:
[62] maternal,health [46] black,maternal [33] health,week [32] united,states [31] states,struggles [31] struggles,respond [31] respond,#covid19 [31] #covid19,crisis [31] crisis,tens [31] tens,thousands Top Word Pairs in Tweet in G9:
[131] child,health [100] maternal,health [93] maternal,child [36] fighting,stigma [30] threatens,already [30] already,strained [30] health,system [28] strained,maternal [25] health,services [25] coronavirus,threatens Top Word Pairs in Tweet in G10:
[101] maternal,health [83] black,maternal [48] today,bmhcaucus [42] moms,dying [40] world,today [39] richest,nation [39] nation,earth [39] earth,american [39] american,moms [39] dying,highest 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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