The graph represents a network of 7,791 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 Tuesday, 17 November 2020 at 04:53 UTC.
The requested start date was Monday, 16 November 2020 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, 2-hour, 15-minute period from Friday, 06 November 2020 at 02:14 UTC to Saturday, 14 November 2020 at 04:30 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 : 7791
Unique Edges : 2897
Edges With Duplicates : 12664
Total Edges : 15561
Number of Edge Types : 5
Retweet : 6041
MentionsInRetweet : 7059
Replies to : 270
Mentions : 1379
Tweet : 812
Self-Loops : 828
Reciprocated Vertex Pair Ratio : 0.0206335720354412
Reciprocated Edge Ratio : 0.0404328695445356
Connected Components : 767
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 5326
Maximum Edges in a Connected Component : 11718
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.548863
Graph Density : 0.000138552284333212
Modularity : 0.490036
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,791 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 Tuesday, 17 November 2020 at 04:53 UTC.
The requested start date was Monday, 16 November 2020 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, 2-hour, 15-minute period from Friday, 06 November 2020 at 02:14 UTC to Saturday, 14 November 2020 at 04:30 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:
[3510] black,women [3436] women,more [3434] thank,black [3433] more,tweets [3433] stand,push [3433] push,economic [3433] economic,equity [3433] equity,wages [3433] wages,business [1743] letâ,thank Top Word Pairs in Tweet in G1:
[3407] thank,black [3407] black,women [3407] women,more [3407] more,tweets [3407] stand,push [3407] push,economic [3407] economic,equity [3407] equity,wages [3407] wages,business [1726] letâ,thank Top Word Pairs in Tweet in G2:
[287] maternal,health [115] black,maternal [64] health,care [64] believe,#reprojustice [64] #reprojustice,making [64] making,sure [64] sure,laurenunderwood [64] laurenunderwood,goes [64] goes,back [64] back,congress Top Word Pairs in Tweet in G3:
[153] maternal,health [68] maternal,child [67] child,health [32] health,care [29] mental,health [25] maternal,mortality [20] maternal,mental [20] black,maternal [19] covid,19 [17] maternal,infant Top Word Pairs in Tweet in G4:
[94] maternal,health [52] health,services [41] maternal,newborn [35] newborn,health [31] #covid19,pandemic [31] key,health [27] quality,maternal [27] health,care [27] including,maternal [25] maternal,care Top Word Pairs in Tweet in G5:
[41] #maternal,#newborn [35] research,track [33] keep,research [33] join,sanyusisters [31] track,join [29] first,podcast [26] keen,hear [25] #global,#maternal [24] #newborn,#health [23] covid,19 Top Word Pairs in Tweet in G6:
[105] adolescent,motherhood [105] motherhood,major [105] major,global [105] global,health [105] health,social [105] social,problem [105] problem,understanding [105] understanding,impact [105] impact,early [105] early,motherhood Top Word Pairs in Tweet in G7:
[42] health,services [38] maternal,health [23] thousands,national [23] national,unity [23] unity,platform [23] platform,supporters [23] supporters,thronged [23] thronged,arua [23] arua,city [23] city,party's Top Word Pairs in Tweet in G8:
[98] rolling,back [98] back,aca [98] aca,cut [98] cut,access [98] access,critical [98] critical,gains [98] gains,women [98] women,health [98] health,time [98] time,people Top Word Pairs in Tweet in G9:
[63] maternal,health [55] black,maternal [35] vice,president [33] president,prioritizes [33] prioritizes,black [33] health,combating [33] combating,fibroids [32] flywithkamala,vice [27] fibroids,œðÿ [27] œðÿ,œðÿ Top Word Pairs in Tweet in G10:
[92] 10,days [92] days,darkness [92] darkness,still [92] still,haven [92] haven,heard [92] heard,brother [92] brother,#tigray [92] #tigray,expecting [92] expecting,wife [92] wife,greater Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: