The graph represents a network of 665 Twitter users whose tweets in the requested range contained "AWHONN", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 29 May 2021 at 18:06 UTC.
The requested start date was Saturday, 29 May 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 4-hour, 53-minute period from Monday, 01 March 2021 at 12:07 UTC to Friday, 28 May 2021 at 17:01 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 : 665
Unique Edges : 778
Edges With Duplicates : 1691
Total Edges : 2469
Number of Edge Types : 5
Tweet : 294
Retweet : 342
MentionsInRetweet : 545
Replies to : 122
Mentions : 1166
Self-Loops : 303
Reciprocated Vertex Pair Ratio : 0.0345132743362832
Reciprocated Edge Ratio : 0.0667236954662104
Connected Components : 30
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 608
Maximum Edges in a Connected Component : 2341
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.227209
Graph Density : 0.00264743183259353
Modularity : 0.372033
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 665 Twitter users whose tweets in the requested range contained "AWHONN", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 29 May 2021 at 18:06 UTC.
The requested start date was Saturday, 29 May 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 4-hour, 53-minute period from Monday, 01 March 2021 at 12:07 UTC to Friday, 28 May 2021 at 17:01 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 : AWHONN
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:
[87] covid,19 [75] learn,more [33] patient,education [32] education,fact [32] fact,sheet [28] twin,pregnancy [25] maternal,health [25] human,rights [23] #acog,#awhonn [23] #everybodycounts,#triagedirect Top Word Pairs in Tweet in G1:
[70] learn,more [22] maternal,health [21] covid,19 [18] black,maternal [16] health,care [16] best,practices [15] woman,baby [13] virtual,5k [13] awhonn,insights [13] jonathan,webb Top Word Pairs in Tweet in G2:
[30] patient,education [29] education,fact [29] fact,sheet [20] partnered,fellow [20] fellow,pregnancy [20] pregnancy,experts [20] experts,update [20] update,patient [20] sheet,#covid19vaccination [20] #covid19vaccination,pregnancy Top Word Pairs in Tweet in G3:
[37] covid,19 [19] seiunurses,awhonn [15] aacnursing,nln [14] ananursingworld,vnaa [13] nln,ananursingworld [11] awhonn,wenurses [10] breaking,news [10] wenurses,canadanurses [8] 19,deaths [8] vnaa,seiunurses Top Word Pairs in Tweet in G4:
[16] mclemoremr,awhonn [10] axncompassion,awhonn [5] uche_blackstock,johnpamplinii [5] johnpamplinii,jama_current [5] jama_current,yup [5] yup,already [5] already,divested [5] divested,#awhonn [5] #awhonn,pull [5] pull,name Top Word Pairs in Tweet in G5:
[9] neonatalnurses,awhonn [8] access,full [8] full,updated [8] updated,cochrane [8] cochrane,review [8] review,topical [8] topical,emollient [8] emollient,preventing [8] preventing,infection [8] infection,#preterm Top Word Pairs in Tweet in G6:
[24] human,rights [22] laws,created [22] created,strip [22] strip,basic [22] basic,human [22] rights,trans [22] trans,non [22] non,binary [22] binary,youth [22] youth,unacceptable Top Word Pairs in Tweet in G7:
[28] twin,pregnancy [14] help,decide [14] decide,twin [14] pregnancy,outcomes [14] outcomes,important [14] important,form [14] form,twin [14] pregnancy,core [14] core,outcome [13] nicolaf49799554,help Top Word Pairs in Tweet in G8:
[15] rewatch,#momnibus [15] #momnibus,introduction [15] introduction,ceremony [15] ceremony,hear [15] hear,4kira4moms [15] 4kira4moms,marchofdimes [15] marchofdimes,acog [15] acog,dc_amchp [15] dc_amchp,ancientsong7 [14] bmhcaucus,rewatch Top Word Pairs in Tweet in G9:
[2] neonatalnurses,aapneonatal Top Word Pairs in Tweet in G10:
[15] ananursingworld,wenurses [9] weldnurses,kaynurse11 [9] kaynurse11,aiimsnurses [9] aiimsnurses,ananursingworld [6] howardnurse,nationalnurses [6] nationalnurses,ananursingworld [6] wenurses,aiimsnurses [6] aiimsnurses,calnurses [6] calnurses,weldnurses [6] weldnurses,ontarionurses Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: