The graph represents a network of 532 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, 11 September 2021 at 18:06 UTC.
The requested start date was Saturday, 11 September 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 68-day, 4-hour, 10-minute period from Thursday, 01 July 2021 at 15:00 UTC to Tuesday, 07 September 2021 at 19:10 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 : 532
Unique Edges : 825
Edges With Duplicates : 1835
Total Edges : 2660
Number of Edge Types : 5
Mentions : 1531
Replies to : 73
MentionsInRetweet : 690
Retweet : 192
Tweet : 174
Self-Loops : 180
Reciprocated Vertex Pair Ratio : 0.0469283276450512
Reciprocated Edge Ratio : 0.0896495517522412
Connected Components : 20
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 507
Maximum Edges in a Connected Component : 2599
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.345554
Graph Density : 0.00434348583322714
Modularity : 0.370406
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 532 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, 11 September 2021 at 18:06 UTC.
The requested start date was Saturday, 11 September 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 68-day, 4-hour, 10-minute period from Thursday, 01 July 2021 at 15:00 UTC to Tuesday, 07 September 2021 at 19:10 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:
[56] covid,19 [45] aacnursing,nln [39] learn,more [32] dvervoort94,theg4alliance [32] theg4alliance,surgfoundation [32] surgfoundation,unitar [32] unitar,harvardpgssc [32] harvardpgssc,keepark [32] keepark,geoffibbotson [32] geoffibbotson,koiralabhagawan Top Word Pairs in Tweet in G1:
[39] learn,more [17] health,care [16] acnmmidwives,npwh [14] awhonn,acnmmidwives [14] mysmfm,acog [13] 2021,#awhonnconvention [13] acog,awhonn [12] each,week [12] one,day [11] register,today Top Word Pairs in Tweet in G2:
[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 G3:
[45] aacnursing,nln [44] covid,19 [23] seiunurses,awhonn [22] wenurses,canadanurses [21] ananursingworld,vnaa [20] nln,aacnme [20] nln,aan_nursing [17] aacnme,aan_nursing [16] aan_nursing,ananursingworld [16] aacnme,ananursingworld Top Word Pairs in Tweet in G4:
[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 [9] neonatalnurses,awhonn Top Word Pairs in Tweet in G5:
[10] templeuniv,templecph [10] awhonn,umasslowell [10] umasslowell,uml_zchs [10] uml_zchs,umlnursing [9] hcfantasia,nwh_journal [9] templecph,awhonn [7] associate,editor [7] katersimpson,awhonn [7] drtiffmonique,templeuniv [6] nwh_journal,drtiffmonique Top Word Pairs in Tweet in G6:
[3] fight,ensure [3] ensure,person [3] person,access [3] access,care [3] care,need [3] need,treated [3] treated,respect [3] respect,dignity [2] awhonn,blkmamasmatter [2] put,resources Top Word Pairs in Tweet in G7:
[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 G8:
[2] acog,aagl [2] aagl,acnmmidwives [2] acnmmidwives,apgonews [2] apgonews,reprodmed [2] reprodmed,fpmrs [2] fpmrs,awhonn [2] awhonn,npwf [2] npwf,sasgog [2] sasgog,sgo_org [2] sgo_org,mysmfm Top Word Pairs in Tweet in G9:
[16] bls,acls [16] acls,nrp [16] nrp,awhonn [14] start,date [12] awhonn,fhm [12] #womenshealth,#telephonetriage [12] #facog,#acog [12] #acog,#awhonn [12] #everybodycounts,#triagedirect [12] #triagedirect,#exclusivelyrns 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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