The graph represents a network of 610 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, 04 September 2021 at 18:06 UTC.
The requested start date was Saturday, 04 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 94-day, 18-hour, 44-minute period from Tuesday, 01 June 2021 at 03:27 UTC to Friday, 03 September 2021 at 22:11 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 : 610
Unique Edges : 896
Edges With Duplicates : 2405
Total Edges : 3301
Number of Edge Types : 5
Replies to : 93
MentionsInRetweet : 757
Retweet : 243
Mentions : 1971
Tweet : 237
Self-Loops : 249
Reciprocated Vertex Pair Ratio : 0.0470316114109483
Reciprocated Edge Ratio : 0.0898379970544919
Connected Components : 25
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 579
Maximum Edges in a Connected Component : 3214
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.366842
Graph Density : 0.00365554927454306
Modularity : 0.333718
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 610 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, 04 September 2021 at 18:06 UTC.
The requested start date was Saturday, 04 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 94-day, 18-hour, 44-minute period from Tuesday, 01 June 2021 at 03:27 UTC to Friday, 03 September 2021 at 22:11 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:
[103] covid,19 [67] aacnursing,nln [53] learn,more [34] ananursingworld,vnaa [33] seiunurses,awhonn [32] nln,aan_nursing [32] wenurses,canadanurses [32] dvervoort94,theg4alliance [32] theg4alliance,surgfoundation [32] surgfoundation,unitar Top Word Pairs in Tweet in G1:
[17] awhonn,acnmmidwives [16] acnmmidwives,npwh [15] acog,awhonn [14] mysmfm,acog [13] registration,open [13] person,virtual [13] virtual,options [11] pregnant,thinking [11] thinking,pregnancy [11] pregnancy,vaccinated Top Word Pairs in Tweet in G2:
[51] learn,more [25] health,care [17] covid,19 [15] 2021,#awhonnconvention [12] orientation,education [11] membership,survey [11] one,day [10] perinatal,orientation [10] education,program [10] store,item Top Word Pairs in Tweet in G3:
[81] covid,19 [67] aacnursing,nln [34] ananursingworld,vnaa [33] seiunurses,awhonn [32] nln,aan_nursing [32] wenurses,canadanurses [28] breaking,news [27] nln,aacnme [26] aacnme,ananursingworld [25] 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:
[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 G6:
[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] drtiffmonique,templeuniv [6] nwh_journal,drtiffmonique [5] editor,nwh_journal Top Word Pairs in Tweet in G7:
[3] put,resources [3] resources,educating [3] educating,more [3] more,#midwives [3] #midwives,especially [3] especially,midwives [3] midwives,color [3] color,midwiferyforum [3] midwiferyforum,usbreastfeeding [3] fight,ensure Top Word Pairs in Tweet in G8:
[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:
[19] #facog,#acog [19] #acog,#awhonn [19] #triagedirect,#exclusivelyrns [17] #healthcareworkers,#facog [17] #everybodycounts,#triagedirect [16] #triage,#healthcareworkers [15] bls,acls [15] acls,nrp [15] nrp,awhonn [15] #telephonetriage,#protocols Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G6:
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: