The graph represents a network of 7,537 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, 28 September 2020 at 03:49 UTC.
The requested start date was Monday, 28 September 2020 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 9-day, 14-hour, 0-minute period from Wednesday, 16 September 2020 at 21:15 UTC to Saturday, 26 September 2020 at 11:15 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 : 7537
Unique Edges : 4910
Edges With Duplicates : 11690
Total Edges : 16600
Number of Edge Types : 5
Retweet : 5387
MentionsInRetweet : 7295
Tweet : 1169
Mentions : 2330
Replies to : 419
Self-Loops : 1206
Reciprocated Vertex Pair Ratio : 0.0385726989773233
Reciprocated Edge Ratio : 0.074280209782725
Connected Components : 1043
Single-Vertex Connected Components : 444
Maximum Vertices in a Connected Component : 4175
Maximum Edges in a Connected Component : 11331
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.12369
Graph Density : 0.000164492819148112
Modularity : 0.546344
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,537 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, 28 September 2020 at 03:49 UTC.
The requested start date was Monday, 28 September 2020 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 9-day, 14-hour, 0-minute period from Wednesday, 16 September 2020 at 21:15 UTC to Saturday, 26 September 2020 at 11:15 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:
[2422] maternal,health [816] child,health [750] maternal,child [488] maternal,mortality [471] mental,health [447] black,maternal [411] health,care [403] health,crisis [384] black,women [354] maternal,mental Top Word Pairs in Tweet in G1:
[460] maternal,health [163] maternal,infant [160] health,quality [158] quality,improvement [156] infant,health [152] improvement,act [115] black,maternal [78] national,maternal [70] health,crisis [65] health,summit Top Word Pairs in Tweet in G2:
[284] maternal,health [275] awareness,week [208] black,women [200] health,awareness [178] mental,health [169] maternal,mental [165] first,black [125] women,maternal [110] black,women's [109] uk's,first Top Word Pairs in Tweet in G3:
[331] complicated,pregnancies [331] pregnancies,facing [331] facing,company [331] company,layoffs [331] layoffs,during [331] during,first [331] first,thought [331] thought,being [331] being,pregnant [331] pregnant,uninsured Top Word Pairs in Tweet in G4:
[178] maternal,health [93] child,health [84] maternal,child [45] health,care [43] mental,health [37] maternal,mortality [35] maternal,care [33] maternal,infant [28] black,maternal [27] health,quality Top Word Pairs in Tweet in G5:
[85] glad,sign [85] sign,strategic [85] strategic,collaboration [85] collaboration,framework [85] framework,unicefchief [85] unicefchief,henrietta [85] henrietta,fore [85] fore,start [85] start,chapter [85] chapter,strengthening Top Word Pairs in Tweet in G6:
[184] maternal,health [77] fida,kenya [52] health,care [49] fidakenya,fida [44] health,rights [43] human,rights [40] maternal,reproductive [38] solidarity,march [38] matters,maternal [37] reproductive,health Top Word Pairs in Tweet in G7:
[106] maternal,health [51] maternal,mortality [40] child,health [39] project,advocate [38] mental,health [35] maternal,child [34] nigeria,health [34] health,watch [33] watch,launches [31] health,advocacy Top Word Pairs in Tweet in G8:
[242] maternal,child [242] child,health [225] health,crisis [190] pandemic,continues [190] continues,wreak [190] wreak,havoc [190] havoc,think [190] think,need [190] need,prepare [190] prepare,deal Top Word Pairs in Tweet in G9:
[49] maternal,neonatal [49] neonatal,health [47] discussing,maternal [45] maternal,health [43] manel,discussing [43] health,women [43] women,call [43] call,replan [42] kimaniwanjogu,manel [22] health,kenya Top Word Pairs in Tweet in G10:
[72] pumwani,hospital [71] giving,birth [70] mother,giving [70] birth,outside [70] outside,pumwani [70] hospital,know [70] know,mothers [70] mothers,more [70] more,mothers [70] mothers,others Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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