The graph represents a network of 5,070 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, 22 October 2019 at 17:54 UTC.
The requested start date was Tuesday, 22 October 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, 23-hour, 13-minute period from Wednesday, 16 October 2019 at 00:47 UTC to Tuesday, 22 October 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1203] maternal,health [860] against,women [858] stacked,against [858] women,#givingbirthinnigeria [858] #givingbirthinnigeria,re [858] re,collaborating [858] collaborating,local [858] local,organizations [858] organizations,change [857] odds,stacked Top Word Pairs in Tweet in G1:
[824] odds,stacked [824] stacked,against [824] against,women [824] women,#givingbirthinnigeria [824] #givingbirthinnigeria,re [824] re,collaborating [824] collaborating,local [824] local,organizations [824] organizations,change [823] msdformothers,odds Top Word Pairs in Tweet in G2:
[305] black,women [293] women,s [293] s,maternal [292] great,debate [292] debate,one [292] one,few [292] few,candidates [292] candidates,talk [292] talk,specifically [292] specifically,black Top Word Pairs in Tweet in G3:
[77] maternal,health [42] mental,health [41] maternal,child [40] child,health [33] maternal,mental [21] maternal,mortality [11] health,care [11] journalist,found [11] found,voice [11] voice,maternal Top Word Pairs in Tweet in G4:
[97] maternal,health [61] stakeholders,summit [58] quality,maternal [53] future,health [50] health,conference [35] advancing,quality [33] summit,advancing [32] metiebetmd,chidizuwah [32] chidizuwah,dr_nrc_azodoh [32] dr_nrc_azodoh,aeocoker Top Word Pairs in Tweet in G5:
[28] maternal,health [27] women,s [17] s,health [10] transformation,women [10] health,advocates [10] advocates,drleanawen [10] drleanawen,cturlington [10] cturlington,drnaveenrao [10] drnaveenrao,ariannahuff [10] ariannahuff,forces Top Word Pairs in Tweet in G6:
[132] who_europe,whoafro [132] whoafro,whoemro [132] whoemro,whosearo [132] whosearo,whowpro [132] whowpro,pahowho [95] pahowho,drzucker [87] need,talk [87] talk,losing [86] october,pregnancy [86] pregnancy,infant Top Word Pairs in Tweet in G7:
[85] maternal,health [25] safe,motherhood [23] maternal,newborn [21] motherhood,day [20] maternal,child [20] child,health [20] accelerating,impact [18] newborn,health [18] national,dialogue [18] national,safe Top Word Pairs in Tweet in G8:
[113] losing,baby [111] baby,pregnancy [111] pregnancy,through [111] through,miscarriage [111] miscarriage,stillbirth [111] stillbirth,remains [111] remains,difficult [111] difficult,subject [111] subject,talk [111] talk,linked Top Word Pairs in Tweet in G9:
[84] maternal,health [79] women,s [79] s,health [77] new,report [77] violations,women [77] health,immigration [77] immigration,custody [77] custody,key [77] key,areas [75] report,release Top Word Pairs in Tweet in G10:
[43] maternal,health [32] black,maternal [22] maternal,infant [19] maternal,child [19] child,health [15] african,american [15] american,women [15] women,more [15] more,3x [15] 3x,more Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: