The graph represents a network of 7,031 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, 20 September 2021 at 04:18 UTC.
The requested start date was Monday, 20 September 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 4-day, 3-hour, 45-minute period from Wednesday, 15 September 2021 at 00:36 UTC to Sunday, 19 September 2021 at 04:22 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 : 7031
Unique Edges : 3866
Edges With Duplicates : 12834
Total Edges : 16700
Number of Edge Types : 5
Retweet : 6019
MentionsInRetweet : 7963
Tweet : 924
Replies to : 149
Mentions : 1645
Self-Loops : 962
Reciprocated Vertex Pair Ratio : 0.0196056464261707
Reciprocated Edge Ratio : 0.0384573123832546
Connected Components : 743
Single-Vertex Connected Components : 373
Maximum Vertices in a Connected Component : 5039
Maximum Edges in a Connected Component : 13552
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.955144
Graph Density : 0.000184126666846052
Modularity : 0.513523
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,031 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, 20 September 2021 at 04:18 UTC.
The requested start date was Monday, 20 September 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 4-day, 3-hour, 45-minute period from Wednesday, 15 September 2021 at 00:36 UTC to Sunday, 19 September 2021 at 04:22 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:
[2916] maternal,health [1520] addressing,devastating [1520] devastating,impact [1519] preventing,malnutrition [1518] malnutrition,addressing [1501] impact,starts [1494] starts,provision [1493] provision,maternal [1493] health,idps [1478] idps,pregnant Top Word Pairs in Tweet in G1:
[1092] preventing,malnutrition [1092] malnutrition,addressing [1092] addressing,devastating [1092] devastating,impact [1092] impact,starts [1092] starts,provision [1092] provision,maternal [1092] maternal,health [1092] health,idps [1092] idps,pregnant Top Word Pairs in Tweet in G2:
[309] maternal,health [267] black,maternal [190] black,women [161] pregnancy,childbirth [156] more,die [152] die,pregnancy [150] four,times [150] times,more [140] women,uk [137] uk,four Top Word Pairs in Tweet in G3:
[342] black,women [341] pregnancy,childbirth [341] women,uk [336] childbirth,vulnerable [336] vulnerable,moments [336] moments,mother's [336] mother's,life [336] life,black [336] uk,facing [336] facing,four Top Word Pairs in Tweet in G4:
[426] maternal,health [140] #buildbackbetter,act [125] black,maternal [107] critical,investments [97] health,crisis [92] energycommerce,approved [86] approved,#buildbackbetter [83] frankpallone,energycommerce [80] step,forward [77] #momnibus,act Top Word Pairs in Tweet in G5:
[235] maternal,newborn [175] health,workers [167] newborn,care [143] safe,maternal [121] facility,managers [103] access,safe [92] patient,safety [90] calling,access [89] day,calling [86] safety,day Top Word Pairs in Tweet in G6:
[320] 350,million [289] maternal,infant [287] million,maternal [287] infant,health [286] administration,investing [286] investing,350 [286] health,nation [286] nation,families [285] families,funds [285] funds,hhsgov Top Word Pairs in Tweet in G7:
[124] maternal,newborn [105] maternal,health [73] maternal,child [72] patient,safety [67] child,health [66] newborn,care [49] safe,maternal [46] health,care [42] world,patient [42] safety,day Top Word Pairs in Tweet in G8:
[428] addressing,devastating [428] devastating,impact [427] preventing,malnutrition [426] malnutrition,addressing [409] impact,starts [403] maternal,health [402] starts,provision [401] provision,maternal [401] health,idps [386] idps,pregnant Top Word Pairs in Tweet in G9:
[157] maternal,born [155] #worldpatientsafetyday,theme [154] addressed,event [154] event,#worldpatientsafetyday [154] theme,'safety [154] 'safety,maternal [154] born,care' [154] care',launched [153] mansukhmandviya,addressed [153] launched,guidelin Top Word Pairs in Tweet in G10:
[67] maternal,child [66] child,health [36] rotary,international [33] international,president [31] today,rotary [30] launched,maternal [28] maternal,health [27] president,shekhar [27] shekhar,mehta [27] health,program 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: