The graph represents a network of 5,116 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 Friday, 13 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, 0-hour, 55-minute period from Sunday, 08 December 2019 at 00:05 UTC to Thursday, 12 December 2019 at 01:01 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 : 5116
Unique Edges : 6048
Edges With Duplicates : 814
Total Edges : 6862
Number of Edge Types : 3
Mentions : 6179
Tweet : 438
Replies to : 245
Self-Loops : 438
Reciprocated Vertex Pair Ratio : 0.0135226504394861
Reciprocated Edge Ratio : 0.0266844563042028
Connected Components : 411
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 3674
Maximum Edges in a Connected Component : 5045
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.797966
Graph Density : 0.000229131844052775
Modularity : 0.798323
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,116 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 Friday, 13 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, 0-hour, 55-minute period from Sunday, 08 December 2019 at 00:05 UTC to Thursday, 12 December 2019 at 01:01 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 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:
[1554] texas,medicaid [1554] medicaid,application [1554] application,16 [1554] 16,times [1554] times,longer [1554] longer,1040 [1554] 1040,tax [1554] tax,form [1554] form,mistake [1553] ezraklein,texas Top Word Pairs in Tweet in G2:
[106] uninsured,texas [97] being,pregnant [96] danger,being [94] pregnant,uninsured [90] extraordinary,danger [74] worst,insurance [68] texas,second [68] second,biggest [68] biggest,state [68] state,nearly Top Word Pairs in Tweet in G3:
[65] highest,rates [64] rates,domestic [47] maternal,mortality [32] domestic,violence [32] domestic,homicide [31] states,pass [31] pass,anti [31] anti,abortion [31] abortion,bills [31] bills,highest Top Word Pairs in Tweet in G4:
[149] health,care [149] care,system [148] highest,maternal [147] system,cost [147] cost,55t [147] 55t,over [147] over,next [147] next,decade [147] decade,spending [147] spending,highest Top Word Pairs in Tweet in G5:
[66] maternal,mortality [66] website,launched [36] check,bmhcaucus [36] bmhcaucus,website [35] caucus,website [34] bmhcaucus,repadams [34] proud,support [32] black,maternal [32] maternal,health [32] look,forward Top Word Pairs in Tweet in G6:
[97] maternal,mortality [22] mortality,rates [20] infant,mortality [18] mortality,rate [15] maternal,infant [13] uninsured,texas [12] extraordinary,danger [12] danger,being [12] being,pregnant [12] pregnant,uninsured Top Word Pairs in Tweet in G7:
[122] #1,medical [120] rejecting,billion [120] billion,year [120] year,medicaid [120] medicaid,expansion [120] expansion,funds [120] funds,helping [120] helping,tn [120] tn,rural [120] rural,communities Top Word Pairs in Tweet in G8:
[144] maternal,mortality [92] shocking,stats [92] stats,cdcgov [92] cdcgov,maternal [92] mortality,discussion [92] discussion,700 [92] 700,women [92] women,die [92] die,each [92] each,year Top Word Pairs in Tweet in G9:
[102] donated,campaign [102] campaign,week [102] week,later [102] later,invited [102] invited,bar [102] bar,bushwick [102] bushwick,meet [102] meet,hear [102] hear,speak [102] speak,stayed Top Word Pairs in Tweet in G10:
[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 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: