The graph represents a network of 592 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 Sunday, 29 November 2020 at 19:34 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 87-day, 1-hour, 35-minute period from Tuesday, 01 September 2020 at 15:00 UTC to Friday, 27 November 2020 at 16:35 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 : 592
Unique Edges : 728
Edges With Duplicates : 1844
Total Edges : 2572
Number of Edge Types : 5
Mentions : 1509
MentionsInRetweet : 421
Replies to : 91
Retweet : 297
Tweet : 254
Self-Loops : 257
Reciprocated Vertex Pair Ratio : 0.0505154639175258
Reciprocated Edge Ratio : 0.0961727183513248
Connected Components : 29
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 545
Maximum Edges in a Connected Component : 2517
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.174848
Graph Density : 0.0029124937119861
Modularity : 0.299347
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 592 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 Sunday, 29 November 2020 at 19:34 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 87-day, 1-hour, 35-minute period from Tuesday, 01 September 2020 at 15:00 UTC to Friday, 27 November 2020 at 16:35 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:
[91] covid,19 [72] pinned,tweet [70] see,pinned [69] learn,more [52] perinatal,nurses [49] awhonn,seiunurses [31] aacnursing,nln [29] nln,aan_nursing [28] 2020,#awhonnconvention [26] evidence,based Top Word Pairs in Tweet in G1:
[65] learn,more [32] perinatal,nurses [23] evidence,based [21] 2020,#awhonnconvention [17] celebrate,recognize [16] raise,awareness [15] women,health [14] practice,brief [13] awhonn,insights [11] woman,baby Top Word Pairs in Tweet in G2:
[78] covid,19 [72] pinned,tweet [70] see,pinned [49] awhonn,seiunurses [31] aacnursing,nln [29] nln,aan_nursing [24] 19,deaths [23] nurses,die [21] flu,season [18] nationalnurses,nynurses Top Word Pairs in Tweet in G3:
[21] cochrane,neonatal [21] neonatal,review [13] accessed,cochrane [13] review,2019 [13] 2019,kangaroo [13] kangaroo,mother [13] mother,care [13] care,reduce [13] reduce,morbidity [13] morbidity,mortality Top Word Pairs in Tweet in G4:
[14] acnmmidwives,donaintl [8] acog,rcobsgyn [8] rcobsgyn,acnmmidwives [8] donaintl,awhonn [7] recent,years [7] years,honored [7] honored,give [7] give,opening [7] opening,keynotes [7] keynotes,acog Top Word Pairs in Tweet in G5:
[4] awhonn,blkmamasmatter [3] roe,wade [2] functional,medicine [2] young,labor [2] labor,nurse [2] nurse,older [2] older,nurses [2] nurses,stories [2] stories,young [2] young,women Top Word Pairs in Tweet in G6:
[3] join,professional [3] several,organizations [3] organizations,joined [3] joined,forces [3] forces,offer [3] offer,virtual [3] virtual,course [3] course,intended [3] intended,help [3] help,facilities Top Word Pairs in Tweet in G7:
[5] #fluoride,tap [5] tap,water [5] water,poisons [5] poisons,brains [5] brains,bodies [5] bodies,bones [5] bones,whoever [5] whoever,wins [5] wins,election [5] election,pay Top Word Pairs in Tweet in G8:
[9] #womensnurserecruiter,#awhonn [9] #awhonn,#jobs [5] director,women's [5] women's,services [4] perinatal,nurses [3] labor,delivery [3] fetal,monitoring [2] degree,accredited [2] nurses,10 [2] 10,10 Top Word Pairs in Tweet in G9:
[5] lately,check [5] check,comments [5] comments,#hopeforhie [5] #hopeforhie,#hie [5] #hie,#hieawarebess [5] #hieawarebess,#ebneo [5] #ebneo,#nicu [5] #nicu,#neuronicu [4] hopeforhie,lately [4] #neuronicu,#neonataln Top Word Pairs in Tweet in G10:
[2] june,#visualabstracts [2] #visualabstracts,resident [2] resident,corner [2] corner,fertility [2] fertility,endocrine [2] endocrine,preservation [2] preservation,management [2] management,colorectal [2] acog,rcobsgyn [2] rcobsgyn,awhonn Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: