The graph represents a network of 642 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, 27 November 2021 at 19:06 UTC.
The requested start date was Saturday, 27 November 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 86-day, 14-hour, 15-minute period from Wednesday, 01 September 2021 at 04:18 UTC to Friday, 26 November 2021 at 18:34 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 : 642
Unique Edges : 805
Edges With Duplicates : 1386
Total Edges : 2191
Number of Edge Types : 5
Replies to : 124
Mentions : 1140
Retweet : 251
MentionsInRetweet : 372
Tweet : 304
Self-Loops : 304
Reciprocated Vertex Pair Ratio : 0.0450281425891182
Reciprocated Edge Ratio : 0.0861759425493716
Connected Components : 33
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 600
Maximum Edges in a Connected Component : 2079
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.206576
Graph Density : 0.00270702416881722
Modularity : 0.383854
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 642 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, 27 November 2021 at 19:06 UTC.
The requested start date was Saturday, 27 November 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 86-day, 14-hour, 15-minute period from Wednesday, 01 September 2021 at 04:18 UTC to Friday, 26 November 2021 at 18:34 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:
[71] maternal,health [51] learn,more [39] bls,acls [39] acls,nrp [38] nrp,awhonn [37] perinatal,nurses [34] start,date [34] hr,959 [34] 959,346 [34] 346,black Top Word Pairs in Tweet in G1:
[64] maternal,health [48] learn,more [31] hr,959 [31] 959,346 [31] 346,black [31] black,maternal [31] health,#momnibus [29] 2021,#awhonnconvention [27] address,ongoing [27] ongoing,maternal Top Word Pairs in Tweet in G2:
[17] aacnursing,nln [12] awhonn,seiunurses [9] nln,aan_nursing [8] covid,19 [8] aan_nursing,ananursingworld [8] ananursingworld,vnaa [8] breaking,news [6] aan_nursing,aacnme [6] aacnme,ananursingworld [6] seiunurses,awhonn Top Word Pairs in Tweet in G3:
[9] inviting,neonatal [9] neonatal,networks [9] networks,units [9] units,join [9] join,enewborninrd [9] enewborninrd,benchmarking [9] benchmarking,research [9] research,improve [9] improve,care [9] care,charge Top Word Pairs in Tweet in G4:
[16] acog,awhonn [13] acnmmidwives,npwh [12] awhonn,acnmmidwives [7] waiting,orgs [7] orgs,govern [7] govern,hcp [7] hcp,care [7] care,people [7] people,capable [7] capable,pregnancy Top Word Pairs in Tweet in G5:
[11] associate,editor [9] awhonn,npwh [9] congratulations,drtiffmonique [8] patran,slide [8] first,one [8] one,congratulations [8] drtiffmonique,being [8] being,named [8] named,associate [7] templecph,first Top Word Pairs in Tweet in G6:
[7] awhonn,members [6] nurse,staffing [6] awhonn,convention [5] recommendations,include [5] countthekicksus,awhonn [4] staffing,standards [4] awhonn,drcherylroth [4] very,excited [4] excited,co [4] co,sponsor Top Word Pairs in Tweet in G7:
[8] essential,communication [8] communication,tool [8] tool,use [8] use,time [8] time,teach [8] teach,prenatal [8] prenatal,lamazeonline [8] lamazeonline,childbirth [8] childbirth,education [8] education,thanks Top Word Pairs in Tweet in G8:
[2] perinatal,nurses Top Word Pairs in Tweet in G9:
[39] bls,acls [39] acls,nrp [38] nrp,awhonn [34] start,date [28] estimated,start [26] hours,week [24] state,tx [23] job,id [23] #facog,#acog [23] #acog,#awhonn Top Word Pairs in Tweet in G10:
[5] nurses,value [5] value,certification [5] certification,enhances [5] enhances,empowerment [5] empowerment,validates [5] validates,specialized [5] specialized,knowledge [5] knowledge,contributes [5] contributes,personal [4] jonaonline,nurses 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: