The graph represents a network of 5,168 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, 08 June 2020 at 05:24 UTC.
The requested start date was Monday, 08 June 2020 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 6-day, 8-hour, 16-minute period from Monday, 01 June 2020 at 02:22 UTC to Sunday, 07 June 2020 at 10:39 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 : 5168
Unique Edges : 2797
Edges With Duplicates : 7628
Total Edges : 10425
Number of Edge Types : 5
Retweet : 3586
MentionsInRetweet : 4638
Tweet : 971
Replies to : 230
Mentions : 1000
Self-Loops : 996
Reciprocated Vertex Pair Ratio : 0.0213961922030825
Reciprocated Edge Ratio : 0.04189597017575
Connected Components : 868
Single-Vertex Connected Components : 400
Maximum Vertices in a Connected Component : 2453
Maximum Edges in a Connected Component : 6096
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.62847
Graph Density : 0.000210949638123816
Modularity : 0.550989
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,168 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, 08 June 2020 at 05:24 UTC.
The requested start date was Monday, 08 June 2020 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 6-day, 8-hour, 16-minute period from Monday, 01 June 2020 at 02:22 UTC to Sunday, 07 June 2020 at 10:39 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 G2:
[501] black,women [501] maternal,mortality [501] health,care [501] mortality,rates [501] improve,maternal [501] care,black [501] rates,health [501] petition,improve [501] maternal,health [501] black,maternal Top Word Pairs in Tweet in G3:
[165] receiving,honor [164] honor,reinforces [158] reinforces,notion [144] notion,#successful [139] #successful,pursue [135] pursue,health [132] health,related [129] related,behavioral [120] behavioral,social [29] drslaughter99,receiving Top Word Pairs in Tweet in G4:
[119] black,women [119] health,care [119] maternal,mortality [119] improve,maternal [119] mortality,rates [119] rates,health [119] care,black [119] petition,improve [119] maternal,health [118] child,health Top Word Pairs in Tweet in G5:
[198] maternal,health [187] health,services [178] #yemen,begins [172] begins,grapple [162] grapple,#covid19 [162] #covid19,unfpa [162] unfpa,forced [158] forced,suspend [80] suspend,maternal [68] services,140 Top Word Pairs in Tweet in G6:
[113] petition,improve [88] improve,maternal [54] maternal,mortality [54] mortality,rates [54] rates,health [54] health,care [54] care,black [54] black,women [54] eleanxrsmith,petition [54] blood,clot Top Word Pairs in Tweet in G7:
[154] maternal,health [154] health,equity [154] resources,way [154] way,exhaustive [154] exhaustive,hope [154] hope,list [154] list,serves [154] serves,starting [143] starting,point [9] point,ourselves Top Word Pairs in Tweet in G8:
[57] mental,health [33] maternal,mental [32] racial,inequality [32] inequality,pervasive [32] pervasive,justice [32] justice,system [32] system,present [32] present,well [32] well,women [32] women,health Top Word Pairs in Tweet in G9:
[31] know,evil [29] evil,need [18] need,orchestrate [18] orchestrate,smear [18] smear,campaign [18] campaign,against [18] against,pregnant [18] pregnant,sister [18] sister,law [18] law,makes Top Word Pairs in Tweet in G10:
[67] sanitation,vaccines [67] vaccines,maternal [67] maternal,health [67] health,medicare [67] medicare,medicaid [67] medicaid,clean [67] clean,air [67] air,seat [67] seat,belts [67] belts,hiv Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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