The graph represents a network of 431 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, 10 July 2021 at 18:07 UTC.
The requested start date was Saturday, 10 July 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 67-day, 2-hour, 59-minute period from Saturday, 01 May 2021 at 14:01 UTC to Wednesday, 07 July 2021 at 17:00 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 : 431
Unique Edges : 464
Edges With Duplicates : 1213
Total Edges : 1677
Number of Edge Types : 5
Tweet : 183
Retweet : 157
MentionsInRetweet : 231
Mentions : 1039
Replies to : 67
Self-Loops : 191
Reciprocated Vertex Pair Ratio : 0.0227963525835866
Reciprocated Edge Ratio : 0.0445765230312036
Connected Components : 26
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 402
Maximum Edges in a Connected Component : 1614
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.372643
Graph Density : 0.00363136027626396
Modularity : 0.335383
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 431 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, 10 July 2021 at 18:07 UTC.
The requested start date was Saturday, 10 July 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 67-day, 2-hour, 59-minute period from Saturday, 01 May 2021 at 14:01 UTC to Wednesday, 07 July 2021 at 17:00 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:
[95] covid,19 [39] learn,more [31] aacnursing,nln [28] twin,pregnancy [20] pregnancy,importance [20] importance,receiving [19] ananursingworld,wenurses [18] breaking,news [18] ananursingworld,vnaa [18] awhonn,president Top Word Pairs in Tweet in G1:
[35] learn,more [24] covid,19 [18] awhonn,president [14] town,hall [14] cyndy,krening [14] jonathan,webb [14] health,care [13] president,cyndy [12] orientation,education [12] ceo,jonathan Top Word Pairs in Tweet in G2:
[50] covid,19 [31] aacnursing,nln [18] breaking,news [18] ananursingworld,vnaa [17] 19,deaths [16] seiunurses,awhonn [15] awhonn,seiunurses [15] nln,aan_nursing [13] awhonn,wenurses [12] wenurses,canadanurses Top Word Pairs in Tweet in G3:
[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 [8] #preterm,infants Top Word Pairs in Tweet in G4:
[18] ananursingworld,wenurses [9] howardnurse,nationalnurses [9] nationalnurses,ananursingworld [9] wenurses,aiimsnurses [9] aiimsnurses,calnurses [9] calnurses,weldnurses [9] weldnurses,ontarionurses [9] ontarionurses,awhonn [9] awhonn,icnurses [9] weldnurses,kaynurse11 Top Word Pairs in Tweet in G5:
[7] whonigeria,nursingworld_ng [6] super,proud [6] proud,#nursing [6] #nursing,profession [6] profession,paediatric [6] paediatric,nursing [6] nursing,sweeter [6] sweeter,honey [6] honey,whonigeria [5] nurses,midwives Top Word Pairs in Tweet in G6:
[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 G7:
[2] neonatalnurses,aapneonatal Top Word Pairs in Tweet in G9:
[11] know,more [11] more,obscymru [11] obscymru,ve [11] ve,published [11] published,ijoa_journal [11] ijoa_journal,incidence [11] incidence,aetiology [11] aetiology,coagulation [11] coagulation,management [10] obscymru,know Top Word Pairs in Tweet in G10:
[17] #acog,#awhonn [17] #triagedirect,#exclusivelyrns [16] #facog,#acog [15] #triage,#healthcareworkers [15] #healthcareworkers,#facog [15] #everybodycounts,#triagedirect [13] #awhonn,#mgma [13] #mgma,#practiceadministrators [12] #collaborativecare,#everybodycounts [12] #practiceadministrators,#collaborativecare Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: