The graph represents a network of 7,865 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, 25 January 2021 at 04:50 UTC.
The requested start date was Monday, 25 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 5-hour, 4-minute period from Thursday, 14 January 2021 at 02:30 UTC to Saturday, 23 January 2021 at 07:34 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 : 7865
Unique Edges : 2872
Edges With Duplicates : 13183
Total Edges : 16055
Number of Edge Types : 5
Retweet : 6361
MentionsInRetweet : 7571
Mentions : 1217
Replies to : 247
Tweet : 659
Self-Loops : 685
Reciprocated Vertex Pair Ratio : 0.0171308705279105
Reciprocated Edge Ratio : 0.0336846929422548
Connected Components : 697
Single-Vertex Connected Components : 275
Maximum Vertices in a Connected Component : 5649
Maximum Edges in a Connected Component : 12474
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.588614
Graph Density : 0.000141114780900224
Modularity : 0.515213
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,865 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, 25 January 2021 at 04:50 UTC.
The requested start date was Monday, 25 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 5-hour, 4-minute period from Thursday, 14 January 2021 at 02:30 UTC to Saturday, 23 January 2021 at 07:34 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:
[2613] roe,wade [2610] 48th,anniversary [2610] anniversary,roe [2610] codifying,roe [2609] mark,48th [2609] wade,time [2609] time,rededicate [2609] rededicate,ourselves [2609] ourselves,work [2609] work,ahead Top Word Pairs in Tweet in G1:
[2591] roe,wade [2590] mark,48th [2590] 48th,anniversary [2590] anniversary,roe [2590] wade,time [2590] time,rededicate [2590] rededicate,ourselves [2590] ourselves,work [2590] work,ahead [2590] ahead,codifying Top Word Pairs in Tweet in G2:
[352] white,women [350] ajplus,black [230] black,women [230] women,louisiana [230] louisiana,4x [230] 4x,more [230] more,die [230] die,pregnancy [230] pregnancy,complications [230] complications,white Top Word Pairs in Tweet in G3:
[307] covid,19 [307] 19,robbed [307] robbed,another [307] another,top [307] top,hiv [307] hiv,scientist [307] scientist,gone [307] gone,soon [307] soon,dr [307] dr,arthi Top Word Pairs in Tweet in G4:
[96] maternal,health [64] child,health [56] maternal,child [26] maternal,infant [24] maternal,mortality [18] health,care [17] infant,health [16] mental,health [16] covid,19 [13] health,awareness Top Word Pairs in Tweet in G5:
[65] maternal,deaths [63] misconception,actions [63] actions,prevent [63] prevent,maternal [63] deaths,take [63] take,place [63] place,within [63] within,maternity [63] maternity,services [63] services,wider Top Word Pairs in Tweet in G6:
[201] maternal,health [84] health,awareness [55] awareness,day [39] strategic,plan [35] 25,10am [29] january,23 [29] awareness,week [27] week,unveiling [27] unveiling,#nurturenj [27] #nurturenj,strategic Top Word Pairs in Tweet in G7:
[56] women,girls [50] maternal,deaths [41] invest,women [41] girls,today [41] today,determine [41] determine,world [41] world,looks [41] looks,2030 [41] 2030,renewed [41] renewed,commitment Top Word Pairs in Tweet in G8:
[33] emotional,health [33] health,infant [31] infant,well [31] well,being [31] pregnancy,related [29] related,conditions [28] unibirm_mds,#maternalhealth [28] #maternalhealth,drug [28] drug,serious [28] serious,pregnancy Top Word Pairs in Tweet in G9:
[101] racial,discrimination [101] discrimination,linked [101] linked,health [101] health,disparities [101] disparities,black [101] black,mothers [101] mothers,infants [101] infants,identify [101] identify,types [100] attorneycrump,racial Top Word Pairs in Tweet in G10:
[187] maternal,health [84] racial,inequities [84] inequities,maternal [73] act,reduce [73] reduce,racial [72] health,law [48] signed,act [48] law,legislative [48] legislative,effort [48] effort,centered Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: