The graph represents a network of 7,601 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, 10 August 2020 at 03:48 UTC.
The requested start date was Monday, 10 August 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 12-day, 23-hour, 10-minute period from Monday, 27 July 2020 at 14:48 UTC to Sunday, 09 August 2020 at 13:58 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 : 7601
Unique Edges : 5093
Edges With Duplicates : 13413
Total Edges : 18506
Number of Edge Types : 5
Replies to : 378
Mentions : 2254
Tweet : 1325
Retweet : 5341
MentionsInRetweet : 9208
Self-Loops : 1380
Reciprocated Vertex Pair Ratio : 0.0310045040326804
Reciprocated Edge Ratio : 0.06014426495987
Connected Components : 1178
Single-Vertex Connected Components : 525
Maximum Vertices in a Connected Component : 3103
Maximum Edges in a Connected Component : 11120
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.620907
Graph Density : 0.000170389630173315
Modularity : 0.524129
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,601 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, 10 August 2020 at 03:48 UTC.
The requested start date was Monday, 10 August 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 12-day, 23-hour, 10-minute period from Monday, 27 July 2020 at 14:48 UTC to Sunday, 09 August 2020 at 13:58 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:
[2054] maternal,health [691] maternal,child [625] child,health [569] maternal,mortality [519] black,maternal [488] covid,19 [431] health,system [429] mental,health [409] health,care [365] maternal,newborn Top Word Pairs in Tweet in G1:
[499] maternal,health [298] black,maternal [133] mental,health [123] maternal,mental [82] black,women [73] health,outcomes [68] stakeholder,summit [61] bmhcaucus,thank [59] support,#momnibus [59] health,crisis Top Word Pairs in Tweet in G2:
[191] maternal,health [114] maternal,child [114] child,health [69] maternal,mortality [60] health,care [46] covid,19 [39] black,women [31] black,maternal [30] mental,health [25] health,services Top Word Pairs in Tweet in G3:
[341] health,system [329] carnage,happening [329] happening,health [329] system,maternity [329] maternity,register [329] register,one [329] one,tertiary [329] tertiary,hospital [329] hospital,capital [329] capital,shows Top Word Pairs in Tweet in G4:
[109] maternal,child [73] due,#covid19 [69] years,progress [69] progress,prevent [69] prevent,maternal [69] child,deaths [69] deaths,reversed [69] reversed,due [69] #covid19,thegff [69] thegff,calling Top Word Pairs in Tweet in G5:
[238] passion,maternal [238] maternal,health [238] health,started [238] started,over [238] over,11 [238] 11,years [238] years,ago [238] ago,kano [238] kano,grinding [238] grinding,decade Top Word Pairs in Tweet in G6:
[41] health,care [33] reproductive,health [32] reduce,unintended [31] unintended,pregnancies [30] maternal,health [25] covid,19 [20] public,health [19] plays,vital [19] vital,role [19] role,improving Top Word Pairs in Tweet in G7:
[101] maternal,health [50] act,reduce [46] racial,disparities [45] disparities,maternal [37] reduce,racial [26] senate,passed [24] passed,act [24] health,great [24] great,day [24] day,commonwealth Top Word Pairs in Tweet in G8:
[149] aspect,global [149] global,health [145] tb,aids [145] aids,malaria [144] pandemic,wreaking [144] wreaking,havoc [144] havoc,aspect [144] health,tb [144] malaria,maternal [144] maternal,newborn Top Word Pairs in Tweet in G9:
[152] access,effective [152] effective,contraception [152] contraception,one [152] one,cost [152] cost,effective [152] effective,interventions [152] interventions,reduce [152] reduce,maternal [152] maternal,mortality [151] ladygrasha,access Top Word Pairs in Tweet in G10:
[43] maternal,health [26] maternal,death [17] quest,towards [17] towards,ending [17] ending,preventable [17] preventable,maternal [17] death,continues [17] continues,supporting [17] supporting,continuity [17] continuity,maternal 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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Top Tweeters in G10: