The graph represents a network of 730 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, 02 October 2021 at 18:06 UTC.
The requested start date was Saturday, 02 October 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 92-day, 7-hour, 58-minute period from Thursday, 01 July 2021 at 15:00 UTC to Friday, 01 October 2021 at 22:58 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 : 730
Unique Edges : 1128
Edges With Duplicates : 2385
Total Edges : 3513
Number of Edge Types : 5
Mentions : 2015
Retweet : 294
MentionsInRetweet : 833
Tweet : 242
Replies to : 129
Self-Loops : 248
Reciprocated Vertex Pair Ratio : 0.0534591194968553
Reciprocated Edge Ratio : 0.101492537313433
Connected Components : 28
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 692
Maximum Edges in a Connected Component : 3429
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.278174
Graph Density : 0.00314749046357367
Modularity : 0.372393
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 730 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, 02 October 2021 at 18:06 UTC.
The requested start date was Saturday, 02 October 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 92-day, 7-hour, 58-minute period from Thursday, 01 July 2021 at 15:00 UTC to Friday, 01 October 2021 at 22:58 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 [67] covid,19 [58] learn,more [50] aacnursing,nln [34] hr,959 [34] 959,346 [34] 346,black [34] black,maternal [34] health,#momnibus [32] dvervoort94,theg4alliance Top Word Pairs in Tweet in G1:
[60] maternal,health [56] learn,more [29] hr,959 [29] 959,346 [29] 346,black [29] black,maternal [29] health,#momnibus [24] address,ongoing [24] ongoing,maternal [24] health,crisis Top Word Pairs in Tweet in G2:
[17] acnmmidwives,npwh [14] mysmfm,acog [14] acog,awhonn [13] awhonn,acnmmidwives [11] covid,19 [11] pregnant,thinking [11] thinking,pregnancy [11] pregnancy,vaccinated [11] vaccinated,smartest [11] smartest,people Top Word Pairs in Tweet in G3:
[50] aacnursing,nln [48] covid,19 [25] seiunurses,awhonn [24] nln,aacnme [23] ananursingworld,vnaa [22] wenurses,canadanurses [21] nln,aan_nursing [20] aacnme,aan_nursing [19] aan_nursing,ananursingworld [18] awhonn,seiunurses Top Word Pairs in Tweet in G4:
[32] dvervoort94,theg4alliance [32] theg4alliance,surgfoundation [32] surgfoundation,unitar [32] unitar,harvardpgssc [32] harvardpgssc,keepark [32] keepark,geoffibbotson [32] geoffibbotson,koiralabhagawan [22] aiyedunlawal,dvervoort94 [12] koiralabhagawan,johnmeara [11] johnmeara,aiyedunlawal Top Word Pairs in Tweet in G5:
[16] associate,editor [12] templecph,awhonn [9] first,one [9] congratulations,drtiffmonique [9] templeuniv,templecph [9] awhonn,umasslowell [9] umasslowell,uml_zchs [9] uml_zchs,umlnursing [8] one,congratulations [8] drtiffmonique,being Top Word Pairs in Tweet in G6:
[8] inviting,neonatal [8] neonatal,networks [8] networks,units [8] units,join [8] join,enewborninrd [8] enewborninrd,benchmarking [8] benchmarking,research [8] research,improve [8] improve,care [8] care,charge Top Word Pairs in Tweet in G7:
[4] maternal,health [3] awhonn,nfp_nursefamily [3] fight,ensure [3] ensure,person [3] person,access [3] access,care [3] care,need [3] need,treated [3] treated,respect [3] respect,dignity Top Word Pairs in Tweet in G8:
[12] access,sunlight [12] sunlight,prevention [12] prevention,treatment [12] treatment,hyperbilirubinemia [12] hyperbilirubinemia,term [12] term,late [12] late,term [12] term,neonates [11] cochraneneonate,access [6] vtoxfordnetwork,cochrane_us Top Word Pairs in Tweet in G9:
[5] please,consider [5] consider,re [5] re,tweeting [5] tweeting,themarcesociety [5] themarcesociety,swmh_ioppn [5] swmh_ioppn,ukimarce [5] ukimarce,city_cmchr [5] city_cmchr,researchonwh [5] researchonwh,cwmh_uom [5] cwmh_uom,uoycws Top Word Pairs in Tweet in G10:
[28] nrp,awhonn [27] bls,acls [27] acls,nrp [25] start,date [18] awhonn,fhm [18] estimated,start [15] shift,nights [15] fhm,int [15] int,adv [12] #womenshealth,#telephonetriage Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: