The graph represents a network of 5,778 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, 10 January 2022 at 05:17 UTC.
The requested start date was Monday, 10 January 2022 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 13-day, 21-hour, 4-minute period from Monday, 27 December 2021 at 03:35 UTC to Monday, 10 January 2022 at 00:40 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 : 5778
Unique Edges : 4196
Edges With Duplicates : 8235
Total Edges : 12431
Number of Edge Types : 5
Tweet : 901
Retweet : 3807
MentionsInRetweet : 5831
Replies to : 373
Mentions : 1519
Self-Loops : 942
Reciprocated Vertex Pair Ratio : 0.0189732142857143
Reciprocated Edge Ratio : 0.0372398685651698
Connected Components : 907
Single-Vertex Connected Components : 348
Maximum Vertices in a Connected Component : 1777
Maximum Edges in a Connected Component : 5698
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.700433
Graph Density : 0.000218816899207556
Modularity : 0.575816
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,778 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, 10 January 2022 at 05:17 UTC.
The requested start date was Monday, 10 January 2022 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 13-day, 21-hour, 4-minute period from Monday, 27 December 2021 at 03:35 UTC to Monday, 10 January 2022 at 00:40 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:
[2339] maternal,health [475] maternal,child [470] child,health [432] know,recently [432] recently,became [432] became,doctor [432] doctor,decided [432] decided,go [432] go,unorthodox [432] unorthodox,path Top Word Pairs in Tweet in G1:
[580] maternal,health [204] black,maternal [199] health,day [199] day,action [177] action,whitehouse [171] health,crisis [170] olympian,allysonfelix [170] vp,maternal [164] repunderwood,watch [158] watch,conversation Top Word Pairs in Tweet in G2:
[432] know,recently [432] recently,became [432] became,doctor [432] doctor,decided [432] decided,go [432] go,unorthodox [432] unorthodox,path [432] path,maternal [432] maternal,health [356] deualmeidatawo,know Top Word Pairs in Tweet in G3:
[142] maternal,health [70] child,health [61] maternal,child [44] maternal,mortality [39] health,care [23] mental,health [23] maternal,newborn [20] fighting,stigma [19] public,health [16] newborn,child Top Word Pairs in Tweet in G4:
[140] fivexmore,grassroots [139] announced,donating [139] fee,presenting [139] brit,awards [139] awards,fivexmore [138] mo,gilligan [138] gilligan,announced [138] donating,fee [138] presenting,upcoming [138] upcoming,brit Top Word Pairs in Tweet in G5:
[75] maternal,health [29] mental,health [26] maternal,mental [20] learn,more [17] black,maternal [17] health,disparities [13] action,maternal [12] need,bold [11] 2022,gets [11] gets,underway Top Word Pairs in Tweet in G6:
[25] maternal,health [17] maternal,newborn [14] family,health [14] health,houses [13] health,kits [13] read,more [13] more,women [12] emergency,health [12] kits,ensure [12] ensure,maternal Top Word Pairs in Tweet in G7:
[11] maternal,health [5] 3rd,trimester [4] maternal,fetal [4] fetal,health [3] pixelprotectors,bonnyanne7 [3] bonnyanne7,anderseigen [3] miguel___pv,rnretvirginiat [3] health,care [3] abortion,legal [3] legal,available Top Word Pairs in Tweet in G8:
[86] expanding,access [86] access,antenatal [86] antenatal,care [86] care,important [86] important,part [86] part,promoting [86] promoting,maternal [86] maternal,child [86] child,health [86] health,good Top Word Pairs in Tweet in G9:
[42] maternal,health [20] technology,improve [18] improve,maternal [17] virtual,workshop [15] review,state [14] jan,18 [14] 18,review [13] join,nih [13] maternal,morbidity [13] morbidity,mortality Top Word Pairs in Tweet in G10:
[78] gary4govsc,sc [78] sc,take [78] take,lead [78] lead,preventing [78] preventing,maternal [78] maternal,infant [78] infant,deaths [78] deaths,improving [78] improving,health [78] health,residents Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: