The graph represents a network of 7,162 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, 05 July 2021 at 04:21 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 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, 3-hour, 16-minute period from Monday, 21 June 2021 at 01:36 UTC to Sunday, 04 July 2021 at 04:53 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 : 7162
Unique Edges : 4600
Edges With Duplicates : 10432
Total Edges : 15032
Number of Edge Types : 5
Retweet : 4794
MentionsInRetweet : 6566
Tweet : 1304
Mentions : 2037
Replies to : 331
Self-Loops : 1360
Reciprocated Vertex Pair Ratio : 0.0275542550597415
Reciprocated Edge Ratio : 0.0536307546274324
Connected Components : 1173
Single-Vertex Connected Components : 520
Maximum Vertices in a Connected Component : 3024
Maximum Edges in a Connected Component : 8140
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.819167
Graph Density : 0.00016432987940316
Modularity : 0.563649
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,162 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, 05 July 2021 at 04:21 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 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, 3-hour, 16-minute period from Monday, 21 June 2021 at 01:36 UTC to Sunday, 04 July 2021 at 04:53 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:
[2032] maternal,health [574] maternal,child [561] child,health [497] mental,health [448] health,care [379] black,maternal [344] maternal,mental [288] maternal,mortality [256] covid,19 [248] birthing,people Top Word Pairs in Tweet in G1:
[220] maternal,health [163] child,health [135] maternal,child [78] mental,health [68] fighting,stigma [58] black,maternal [46] maternal,mental [43] health,care [37] covid,19 [34] maternal,mortality Top Word Pairs in Tweet in G2:
[283] maternal,health [131] health,crisis [107] nation's,maternal [106] excited,sit [106] sit,down [106] down,chelseaclinton [106] chelseaclinton,discuss [106] discuss,nation's [106] crisis,address [105] repunderwood,excited Top Word Pairs in Tweet in G3:
[209] maternal,health [73] public,lecture [52] health,care [45] health,services [44] law,medicine [42] re,imagining [41] join,cehurduganda [39] medicine,public [37] cehurduganda,tomorrow [36] imagining,maternal Top Word Pairs in Tweet in G4:
[232] ホワイトハウス,バイデン政権 [232] バイデン政権,母親 [232] 母親,mothers [232] mothers,というワードを [232] というワードを,出産する人々 [232] 出産する人々,birthing [232] birthing,people [232] people,に置き換え [232] に置き換え,変更していたのね [232] 変更していたのね,もぅさぁ Top Word Pairs in Tweet in G5:
[32] hiring,research [32] research,officer [32] officer,maternal [32] maternal,perinatal [32] perinatal,health [32] health,global [32] global,womens [32] womens,newborns [32] newborns,health [32] health,team Top Word Pairs in Tweet in G6:
[140] maternal,health [123] know,anyone [123] anyone,black [123] black,doctoral [123] doctoral,student [123] student,studying [123] studying,reproductive [123] reproductive,maternal [123] health,inequities [123] inequities,please Top Word Pairs in Tweet in G7:
[52] maternal,health [48] chief,medical [48] medical,officer [35] excited,share [35] share,joining [35] joining,mavenclinic [35] mavenclinic,chief [35] officer,builder [35] builder,heart [35] heart,ready Top Word Pairs in Tweet in G8:
[2] indigenous,black [2] black,women [2] women,much [2] much,higher [2] higher,rate [2] rate,maternal [2] maternal,mortality [2] mortality,epigenetic [2] epigenetic,poor [2] poor,social Top Word Pairs in Tweet in G9:
[142] linda,mama [102] expectant,mothers [83] mama,intiative [83] intiative,government [83] government,kenya [83] kenya,caters [83] caters,expectant [83] mothers,really [83] really,helped [83] helped,reducing Top Word Pairs in Tweet in G10:
[100] reduced,access [100] access,essential [98] essential,services [93] exacerbated,gender [93] gender,inequities [93] inequities,reduced [90] maternal,srhr [90] srhr,healthcare [86] services,maternal [74] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: