The graph represents a network of 7,691 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, 07 March 2022 at 05:17 UTC.
The requested start date was Monday, 07 March 2022 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 4-day, 20-hour, 20-minute period from Sunday, 27 February 2022 at 08:00 UTC to Friday, 04 March 2022 at 04:20 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 : 7691
Unique Edges : 2721
Edges With Duplicates : 13096
Total Edges : 15817
Number of Edge Types : 5
Retweet : 6346
MentionsInRetweet : 7399
Replies to : 189
Mentions : 1132
Tweet : 751
Self-Loops : 770
Reciprocated Vertex Pair Ratio : 0.0155576831019627
Reciprocated Edge Ratio : 0.0306386990337026
Connected Components : 731
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 5318
Maximum Edges in a Connected Component : 11927
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.819896
Graph Density : 0.000143480828671954
Modularity : 0.503391
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,691 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, 07 March 2022 at 05:17 UTC.
The requested start date was Monday, 07 March 2022 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 4-day, 20-hour, 20-minute period from Sunday, 27 February 2022 at 08:00 UTC to Friday, 04 March 2022 at 04:20 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:
[3379] health,care [2893] woman,right [2891] preserve,woman [2818] access,health [2812] go,forward [2804] protect,access [2801] care,preserve [2796] forward,backward [2788] backward,protect [2649] president,biden Top Word Pairs in Tweet in G1:
[2522] health,care [2514] preserve,woman [2514] woman,right [2513] president,biden [2513] biden,go [2513] go,forward [2513] forward,backward [2513] backward,protect [2513] protect,access [2513] access,health Top Word Pairs in Tweet in G2:
[430] health,services [429] tigray,health [429] services,casualties [429] casualties,war [429] war,result [429] result,maternal [429] maternal,mortality [429] mortality,alarmingly [429] alarmingly,increasing [417] increasing,see Top Word Pairs in Tweet in G3:
[255] maternal,health [227] health,care [207] advance,maternal [180] tonight,potus [180] potus,made [180] made,important [180] important,calls [180] calls,protect [180] protect,reproductive [180] reproductive,lgbtq Top Word Pairs in Tweet in G4:
[294] ukraine,estimated [294] estimated,80 [294] 80,000 [294] 000,women [294] women,give [294] give,birth [294] birth,over [294] over,next [294] next,months [294] months,many Top Word Pairs in Tweet in G5:
[151] maternal,health [68] health,care [40] maternal,child [34] child,health [23] maternal,deaths [23] maternal,mortality [17] improve,maternal [17] mental,health [17] advance,maternal [16] black,maternal Top Word Pairs in Tweet in G6:
[151] maternal,health [104] health,care [82] maternal,mortality [78] last,week [45] crisis,getting [45] getting,worse [43] health,crisis [41] mortality,rates [41] president,biden [40] week,cdcgov Top Word Pairs in Tweet in G7:
[33] health,services [29] despite,escalation [29] escalation,fighting [29] fighting,#haradh [29] #haradh,frontline [29] frontline,continue [29] continue,provide [29] provide,lifesaving [29] lifesaving,essential [29] essential,medical Top Word Pairs in Tweet in G8:
[60] estimated,80 [60] 80,000 [60] 000,women [60] women,give [60] give,birth [60] next,months [60] months,many [60] access,critical [54] #ukraine,estimated [54] birth,next Top Word Pairs in Tweet in G9:
[47] maternal,newborn [44] newborn,child [31] reproductive,maternal [27] child,adolescent [27] adolescent,health [26] health,plus [26] plus,nutrition [25] maternal,health [22] nutrition,rmncah [17] child,health Top Word Pairs in Tweet in G10:
[10] maternal,health [4] fetal,anomalies [3] sierradeciduous,carhapoy [3] txbridg,simpleargonian [3] simpleargonian,aliveandvaxxed [3] shinyhappypdx,sahbdeane [3] sahbdeane,bootschantilly [3] manicz0mbie,mollybrown28 [3] mollybrown28,poopshit__ [3] poopshit__,beethovengal Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: