The graph represents a network of 7,073 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 November 2021 at 04:17 UTC.
The requested start date was Monday, 08 November 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 8-day, 12-hour, 17-minute period from Friday, 29 October 2021 at 16:25 UTC to Sunday, 07 November 2021 at 04:42 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 : 7073
Unique Edges : 3894
Edges With Duplicates : 12244
Total Edges : 16138
Number of Edge Types : 5
Tweet : 1228
Retweet : 5695
MentionsInRetweet : 7550
Replies to : 233
Mentions : 1432
Self-Loops : 1266
Reciprocated Vertex Pair Ratio : 0.0197158951751163
Reciprocated Edge Ratio : 0.0386693887354389
Connected Components : 1141
Single-Vertex Connected Components : 684
Maximum Vertices in a Connected Component : 4179
Maximum Edges in a Connected Component : 11139
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.419146
Graph Density : 0.000166472558637045
Modularity : 0.485484
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,073 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 November 2021 at 04:17 UTC.
The requested start date was Monday, 08 November 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 8-day, 12-hour, 17-minute period from Friday, 29 October 2021 at 16:25 UTC to Sunday, 07 November 2021 at 04:42 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:
[3717] maternal,health [2098] build,back [2089] back,better [2015] better,framework [1314] disparities,maternal [1263] health,build [1253] address,disparities [1252] long,overdue [1252] overdue,address [1252] framework,includes Top Word Pairs in Tweet in G1:
[1957] maternal,health [1907] build,back [1907] back,better [1903] better,framework [1179] disparities,maternal [1177] long,overdue [1177] overdue,address [1177] address,disparities [1177] health,build [1177] framework,includes Top Word Pairs in Tweet in G2:
[396] maternal,health [247] ranks,poorly [247] poorly,developed [247] developed,countries [247] countries,maternal [241] county,compares [92] maternal,infant [91] maternal,child [83] child,health [79] prenatal,care Top Word Pairs in Tweet in G3:
[373] maternal,health [223] #buildbackbetter,act [165] postpartum,medicaid [160] investments,#buildbackbetter [159] medicaid,investments [157] #momnibus,postpartum [156] critical,#momnibus [151] supports,critical [116] health,equity [110] bmhcaucus,read Top Word Pairs in Tweet in G4:
[153] reducing,maternal [153] maternal,child [153] child,mortality [153] mortality,reducing [153] reducing,cancer [153] cancer,cardiac [153] cardiac,disparities [153] disparities,lifting [153] lifting,people [152] aslavitt,health Top Word Pairs in Tweet in G5:
[84] maternal,health [64] gender,based [64] based,violence [63] child,marriage [63] met,unfpa [63] atayeshe,discuss [62] during,climate [62] climate,crises [62] violence,increases [62] rates,child Top Word Pairs in Tweet in G6:
[15] obstetric,hemorrhage [15] hemorrhage,continues [15] continues,underlying [15] underlying,cause [15] cause,maternal [15] maternal,mortality [15] mortality,kenya [15] kenya,# [15] #,call [15] call,action Top Word Pairs in Tweet in G7:
[42] maternal,health [21] global,maternal [15] passionate,improving [15] improving,global [15] health,flexible [15] flexible,city [15] city,msc [15] msc,perfect [15] perfect,link [14] luciagreenwich,passionate Top Word Pairs in Tweet in G8:
[44] indigenous,mothers [44] mothers,times [44] times,die [44] die,white [44] white,mothers [43] indiancountry,indigenous [30] sections,re [30] re,beefing [30] beefing,cdc [30] cdc,fda Top Word Pairs in Tweet in G9:
[21] maternal,health [8] private,sector [8] sector,investments [7] investments,maternal [5] strengthening,systems [5] systems,safer [5] metiebetmd,msdformothers [5] msdformothers,unwomenwatch [5] unwomenwatch,womeningh [5] womeningh,temitayoe Top Word Pairs in Tweet in G10:
[76] share,paper [62] super,excited [62] excited,share [62] paper,complex [62] complex,interactions [62] interactions,between [62] between,maternal [62] maternal,risk [62] risk,factors [62] factors,prenatal Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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: