The graph represents a network of 584 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, 08 January 2022 at 19:06 UTC.
The requested start date was Saturday, 08 January 2022 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 98-day, 23-hour, 10-minute period from Friday, 01 October 2021 at 00:57 UTC to Saturday, 08 January 2022 at 00:07 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 : 584
Unique Edges : 749
Edges With Duplicates : 1943
Total Edges : 2692
Number of Edge Types : 5
Tweet : 304
Replies to : 103
Mentions : 1630
Retweet : 218
MentionsInRetweet : 437
Self-Loops : 304
Reciprocated Vertex Pair Ratio : 0.0476190476190476
Reciprocated Edge Ratio : 0.0909090909090909
Connected Components : 34
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 543
Maximum Edges in a Connected Component : 2578
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.258642
Graph Density : 0.00303696045489791
Modularity : 0.30487
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 584 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, 08 January 2022 at 19:06 UTC.
The requested start date was Saturday, 08 January 2022 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 98-day, 23-hour, 10-minute period from Friday, 01 October 2021 at 00:57 UTC to Saturday, 08 January 2022 at 00:07 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:
[53] aacnursing,nln [49] learn,more [42] nln,aan_nursing [36] perinatal,nurses [33] ananursingworld,vnaa [28] bls,acls [28] acls,nrp [28] 2021,#awhonnconvention [27] seiunurses,awhonn [27] nrp,awhonn Top Word Pairs in Tweet in G1:
[41] learn,more [26] 2021,#awhonnconvention [21] perinatal,nurses [17] woman,baby [12] evidence,based [11] celebrate,recognize [11] awhonn,members [11] #awhonn,members [10] join,#awhonn [10] award,winners Top Word Pairs in Tweet in G2:
[53] aacnursing,nln [42] nln,aan_nursing [33] ananursingworld,vnaa [27] seiunurses,awhonn [21] aan_nursing,ananursingworld [16] awhonn,seiunurses [15] canadanurses,inmo_irl [15] covid,omicron [15] aan_nursing,aacnme [14] awhonn,aorn 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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