The graph represents a network of 4,221 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, 21 March 2022 at 04:14 UTC.
The requested start date was Monday, 21 March 2022 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, 11-hour, 50-minute period from Tuesday, 15 March 2022 at 17:03 UTC to Sunday, 20 March 2022 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 : 4221
Unique Edges : 3320
Edges With Duplicates : 12997
Total Edges : 16317
Number of Edge Types : 5
Retweet : 6157
MentionsInRetweet : 7109
Tweet : 508
Mentions : 2419
Replies to : 124
Self-Loops : 560
Reciprocated Vertex Pair Ratio : 0.0128656256872663
Reciprocated Edge Ratio : 0.0254044077733145
Connected Components : 604
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 1910
Maximum Edges in a Connected Component : 12210
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.76325
Graph Density : 0.000517105288273146
Modularity : 0.428418
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,221 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, 21 March 2022 at 04:14 UTC.
The requested start date was Monday, 21 March 2022 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, 11-hour, 50-minute period from Tuesday, 15 March 2022 at 17:03 UTC to Sunday, 20 March 2022 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:
[5801] maternal,services [5247] health,services [5207] services,drastically [5207] drastically,disrupted [5207] disrupted,less [5207] less,16 [5207] 16,health [5207] services,providing [5202] children,maternal [3636] providing,vaccination Top Word Pairs in Tweet in G1:
[4833] maternal,services [4581] children,maternal [4581] services,drastically [4581] drastically,disrupted [4581] disrupted,less [4581] less,16 [4581] 16,health [4581] health,services [4581] services,providing [3071] providing,vaccination Top Word Pairs in Tweet in G2:
[922] maternal,services [589] services,providing [588] services,drastically [588] drastically,disrupted [588] disrupted,less [588] less,16 [588] 16,health [588] health,services [583] children,maternal [535] providing,vaccination Top Word Pairs in Tweet in G3:
[91] maternal,health [88] maternal,mental [82] mental,health [35] potus,signed [27] quality,improvement [27] improvement,act [26] maternal,mortality [26] black,maternal [24] black,women [20] #maternalhealth,quality Top Word Pairs in Tweet in G4:
[81] maternal,health [37] maternal,child [30] child,health [30] maternal,mortality [29] mental,health [23] maternal,mental [18] maternal,infant [16] health,care [15] black,maternal [15] infant,health Top Word Pairs in Tweet in G5:
[28] maternal,health [17] drtedros,moh_ukraine [17] moh_ukraine,those [17] those,needs [17] needs,immense [17] immense,include [17] include,continuity [17] continuity,care [17] care,basic [17] basic,illnesses Top Word Pairs in Tweet in G6:
[81] someone,campaigned [81] campaigned,yasmin [81] yasmin,rashid [81] rashid,twice [81] twice,tell [81] tell,farthest [81] farthest,thing [81] thing,truth [81] truth,dr [81] dr,yasmin Top Word Pairs in Tweet in G7:
[55] maternal,health [38] dental,health [38] during,pregnancy [36] sassye,total [36] total,blind [36] blind,spot [36] spot,maternal [36] health,dental [36] health,critically [36] critically,important Top Word Pairs in Tweet in G8:
[2] universal,health [2] health,care [2] maternal,health Top Word Pairs in Tweet in G9:
[20] maternal,health [15] black,maternal [12] advance,equity [12] equity,black [12] maternal,infant [11] efforts,advance [8] highlights,pennmedicine's [8] infant,health [7] health,innovation [7] innovation,center Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: