The graph represents a network of 5,371 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 Tuesday, 17 September 2019 at 10:01 UTC.
The requested start date was Monday, 16 September 2019 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 5-day, 4-hour, 38-minute period from Tuesday, 10 September 2019 at 19:21 UTC to Monday, 16 September 2019 at 00:00 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 : 5371
Unique Edges : 6848
Edges With Duplicates : 857
Total Edges : 7705
Number of Edge Types : 3
Mentions : 7048
Tweet : 483
Replies to : 174
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.0219813309244204
Reciprocated Edge Ratio : 0.0430170889805539
Connected Components : 460
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 3725
Maximum Edges in a Connected Component : 5315
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.027265
Graph Density : 0.000235349020725484
Modularity : 0.815746
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2160] maternal,health [1513] black,maternal [1363] student,debt [1362] whether,s [1362] s,plans [1362] plans,literally [1362] literally,everything [1362] everything,addressing [1362] addressing,burdens [1362] burdens,student Top Word Pairs in Tweet in G1:
[1385] black,maternal [1379] maternal,health [1356] student,debt [1355] whether,s [1355] s,plans [1355] plans,literally [1355] literally,everything [1355] everything,addressing [1355] addressing,burdens [1355] burdens,student Top Word Pairs in Tweet in G2:
[409] maternal,mortality [404] mortality,black [402] beto,o'rourke [402] o'rourke,mentioned [402] mentioned,racial [402] racial,disparities [402] disparities,maternal [402] black,mothers [402] mothers,rate [402] rate,3 Top Word Pairs in Tweet in G3:
[105] delta,state [66] national,council [66] council,health [63] yesterday,delta [63] state,banquet [63] banquet,honour [63] honour,delegates [63] delegates,national [63] health,emphasized [63] emphasized,nigeria Top Word Pairs in Tweet in G4:
[155] maternal,health [107] black,women [106] times,more [96] pregnancy,complications [95] women,nearly [95] nearly,4 [95] 4,times [95] more,preventable [95] preventable,pregnancy [95] complications,white Top Word Pairs in Tweet in G5:
[59] maternal,health [50] maternal,child [38] child,health [21] maternal,mortality [18] mental,health [18] maternal,infant [16] health,care [15] nigeria,s [14] improving,maternal [14] health,minister Top Word Pairs in Tweet in G6:
[118] mortality,rate [117] ann,hails [117] hails,missouri [117] missouri,infant [117] infant,mortality [117] rate,black [117] black,babies [117] babies,4x [117] 4x,higher [117] higher,white Top Word Pairs in Tweet in G7:
[83] maternal,infant [83] infant,health [77] health,summit [64] national,maternal [36] maternal,health [22] mayorbowser,s [22] s,national [13] today,s [11] mayorbowser,national [9] s,maternal Top Word Pairs in Tweet in G8:
[113] maternal,deaths [99] years,ago [99] world,leaders [99] leaders,called [99] reducing,maternal [99] deaths,75 [88] 25,years [88] 75,today [88] today,9 [88] 9,countries Top Word Pairs in Tweet in G9:
[58] maternal,health [56] black,women [54] hard,believe [54] believe,2019 [54] 2019,black [54] women,still [54] still,experiencing [54] experiencing,significantly [54] significantly,worse [54] worse,maternal Top Word Pairs in Tweet in G10:
[89] room,people [89] people,discussing [89] discussing,maternal [89] maternal,child [89] child,mortality [89] mortality,woman [89] woman,great [89] great,part [89] part,failure [88] yarkafanchan,room Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: