The graph represents a network of 5,151 Twitter users whose tweets in the requested range contained "maternal mortality", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 December 2019 at 06:25 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 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 4-day, 1-hour, 34-minute period from Saturday, 07 December 2019 at 18:08 UTC to Wednesday, 11 December 2019 at 19:43 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 : 5151
Unique Edges : 5984
Edges With Duplicates : 737
Total Edges : 6721
Number of Edge Types : 3
Mentions : 6037
Replies to : 252
Tweet : 432
Self-Loops : 432
Reciprocated Vertex Pair Ratio : 0.0118191161356629
Reciprocated Edge Ratio : 0.0233621127475876
Connected Components : 413
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 3699
Maximum Edges in a Connected Component : 4898
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.634717
Graph Density : 0.000222673323871508
Modularity : 0.798494
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,151 Twitter users whose tweets in the requested range contained "maternal mortality", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 December 2019 at 06:25 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 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 4-day, 1-hour, 34-minute period from Saturday, 07 December 2019 at 18:08 UTC to Wednesday, 11 December 2019 at 19:43 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 mortality
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:
[1621] texas,medicaid [1618] medicaid,application [1618] 16,times [1618] times,longer [1618] longer,1040 [1618] 1040,tax [1618] tax,form [1617] application,16 [1617] form,mistake [1616] ezraklein,texas Top Word Pairs in Tweet in G1:
[1552] texas,medicaid [1552] medicaid,application [1552] application,16 [1552] 16,times [1552] times,longer [1552] longer,1040 [1552] 1040,tax [1552] tax,form [1552] form,mistake [1551] ezraklein,texas Top Word Pairs in Tweet in G2:
[187] pregnancy,childbirth [185] wondered,many [185] many,moms [185] moms,sick [185] sick,die [185] die,result [185] result,pregnancy [185] childbirth,here's [185] here's,answer [184] juliaoftoronto,wondered Top Word Pairs in Tweet in G3:
[150] health,care [150] care,system [149] highest,maternal [148] system,cost [148] cost,55t [148] 55t,over [148] over,next [148] next,decade [148] decade,spending [148] spending,highest Top Word Pairs in Tweet in G4:
[49] maternal,mortality [49] highest,rates [48] rates,domestic [24] domestic,violence [24] domestic,homicide [23] states,pass [23] pass,anti [23] anti,abortion [23] abortion,bills [23] bills,highest Top Word Pairs in Tweet in G5:
[96] maternal,mortality [25] mortality,rates [20] infant,mortality [16] mortality,rate [13] uninsured,texas [13] maternal,infant [12] extraordinary,danger [12] danger,being [12] being,pregnant [12] pregnant,uninsured Top Word Pairs in Tweet in G6:
[96] donated,campaign [96] campaign,week [96] week,later [96] later,invited [96] invited,bar [96] bar,bushwick [96] bushwick,meet [96] meet,hear [96] hear,speak [96] speak,stayed Top Word Pairs in Tweet in G7:
[61] website,launched [60] maternal,mortality [35] caucus,website [34] bmhcaucus,repadams [31] co,founder [31] founder,co [31] co,chair [31] chair,bmhcaucus [31] repadams,excited [31] excited,announce Top Word Pairs in Tweet in G8:
[112] maternal,mortality [64] shocking,stats [64] stats,cdcgov [64] cdcgov,maternal [64] mortality,discussion [64] discussion,700 [64] 700,women [64] women,die [64] die,each [64] each,year Top Word Pairs in Tweet in G9:
[64] maternal,mortality [31] racial,disparity [28] died,childbirth [28] childbirth,2015 [28] 2015,hits [28] hits,close [28] close,home [28] home,pleased [28] pleased,share [28] share,birth Top Word Pairs in Tweet in G10:
[43] touring,mother [43] mother,child [43] child,centre [43] centre,minsk [43] minsk,impressed [43] impressed,commitment [43] commitment,#belarus [43] #belarus,deliver [43] deliver,quality [43] quality,#reprohealth Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: