The graph represents a network of 559 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, 25 December 2021 at 19:07 UTC.
The requested start date was Saturday, 25 December 2021 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 84-day, 20-hour, 49-minute period from Friday, 01 October 2021 at 00:57 UTC to Friday, 24 December 2021 at 21:46 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 : 559
Unique Edges : 730
Edges With Duplicates : 1480
Total Edges : 2210
Number of Edge Types : 5
Mentions : 1222
Retweet : 204
MentionsInRetweet : 408
Tweet : 283
Replies to : 93
Self-Loops : 283
Reciprocated Vertex Pair Ratio : 0.048884165781084
Reciprocated Edge Ratio : 0.0932117527862209
Connected Components : 33
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 519
Maximum Edges in a Connected Component : 2102
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.254319
Graph Density : 0.00316425260161194
Modularity : 0.352309
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 559 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, 25 December 2021 at 19:07 UTC.
The requested start date was Saturday, 25 December 2021 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 84-day, 20-hour, 49-minute period from Friday, 01 October 2021 at 00:57 UTC to Friday, 24 December 2021 at 21:46 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:
[44] learn,more [36] perinatal,nurses [32] aacnursing,nln [28] bls,acls [28] acls,nrp [28] 2021,#awhonnconvention [27] nrp,awhonn [27] #facog,#acog [27] #acog,#awhonn [27] #triagedirect,#exclusivelyrns Top Word Pairs in Tweet in G1:
[37] learn,more [26] 2021,#awhonnconvention [21] perinatal,nurses [16] woman,baby [11] celebrate,recognize [11] #awhonn,members [10] awhonn,members [10] award,winners [10] health,care [9] join,#awhonn Top Word Pairs in Tweet in G2:
[32] aacnursing,nln [25] nln,aan_nursing [17] ananursingworld,vnaa [14] seiunurses,awhonn [14] aan_nursing,ananursingworld [13] covid,omicron [13] awhonn,aorn [9] seiunurses,wenurses [8] aan_nursing,aacnme [8] canadanurses,inmo_irl Top Word Pairs in Tweet in G3:
[16] acog,acogaction [16] reprodmed,nationalmedassn [16] nationalmedassn,awhonn [12] awhonn,nhmamd [11] acnmmidwives,reprodmed [10] npwh,mysmfm [9] nhmamd,npwh [9] nrha_advocacy,ruralhealth [8] acogaction,aafp [8] aafp,aafp_advocacy Top Word Pairs in Tweet in G4:
[28] bls,acls [28] acls,nrp [27] nrp,awhonn [27] #facog,#acog [27] #acog,#awhonn [27] #triagedirect,#exclusivelyrns [25] #womenshealth,#telephonetriage [23] hours,week [23] start,date [23] #obgyn,#laboranddelivery Top Word Pairs in Tweet in G5:
[2] inviting,neonatal [2] neonatal,networks [2] networks,units [2] units,join [2] join,enewborninrd [2] enewborninrd,benchmarking [2] benchmarking,research [2] research,improve [2] improve,care [2] care,charge Top Word Pairs in Tweet in G7:
[3] cosecsa,tgweiser [3] tgweiser,oxglobalsurg [3] oxglobalsurg,onedotsurgery [3] onedotsurgery,ucsf_chesa [3] ucsf_chesa,smiletrain [3] smiletrain,icnh_paris [2] starting,come [2] come,join [2] join,cosecsa [2] icnh_paris,uncle_nurse 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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