The graph represents a network of 417 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, 16 January 2021 at 19:32 UTC.
The requested start date was Saturday, 16 January 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 75-day, 12-hour, 23-minute period from Sunday, 01 November 2020 at 03:36 UTC to Friday, 15 January 2021 at 16:00 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 : 417
Unique Edges : 690
Edges With Duplicates : 1755
Total Edges : 2445
Number of Edge Types : 5
Retweet : 177
MentionsInRetweet : 335
Mentions : 1690
Replies to : 67
Tweet : 176
Self-Loops : 179
Reciprocated Vertex Pair Ratio : 0.0589569160997732
Reciprocated Edge Ratio : 0.11134903640257
Connected Components : 18
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 393
Maximum Edges in a Connected Component : 2408
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.150651
Graph Density : 0.00538415421508947
Modularity : 0.28015
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 417 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, 16 January 2021 at 19:32 UTC.
The requested start date was Saturday, 16 January 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 75-day, 12-hour, 23-minute period from Sunday, 01 November 2020 at 03:36 UTC to Friday, 15 January 2021 at 16:00 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:
[101] covid,19 [84] pinned,tweet [83] see,pinned [47] learn,more [46] awhonn,seiunurses [35] ananursingworld,vnaa [26] aacnursing,aan_nursing [24] healthcare,workers [24] seiunurses,awhonn [23] aacnursing,aacnme Top Word Pairs in Tweet in G1:
[22] healthcare,workers [11] workers,strongly [11] strongly,encourage [11] encourage,healthcare [11] workers,vaccinated [11] vaccinated,against [11] against,#covid [11] #covid,protect [11] patient,education [10] sogh_official,healthcare Top Word Pairs in Tweet in G2:
[44] learn,more [15] woman,baby [12] evidence,based [12] awhonn,insights [12] 2021,#awhonnconvention [11] episode,awhonn [10] practice,brief [10] latest,episode [10] lower,extremity [10] extremity,nerve Top Word Pairs in Tweet in G3:
[91] covid,19 [84] pinned,tweet [83] see,pinned [46] awhonn,seiunurses [35] ananursingworld,vnaa [26] aacnursing,aan_nursing [24] seiunurses,awhonn [23] aacnursing,aacnme [23] aacnursing,nln [23] nurses,die Top Word Pairs in Tweet in G4:
[21] cochrane,neonatal [21] neonatal,review [13] accessed,cochrane [13] review,2019 [13] 2019,kangaroo [13] kangaroo,mother [13] mother,care [13] care,reduce [13] reduce,morbidity [13] morbidity,mortality Top Word Pairs in Tweet in G5:
[3] professional,organizations [3] #mysmfm,#acogaction [3] #acogaction,#awhonn [3] #women,#babies [2] mysmfm,acogaction [2] acogaction,awhonn [2] support,professional [2] organizations,thank [2] thank,#advocacy [2] #advocacy,#nurses Top Word Pairs in Tweet in G6:
[16] usatoday,awhonn [14] bglickstein,usatoday [14] awhonn,neel_shah [11] ecugrad2010,adriannausat [11] adriannausat,bglickstein [8] acog,rcobsgyn [8] rcobsgyn,acnmmidwives [8] acnmmidwives,donaintl [8] donaintl,awhonn [7] recent,years Top Word Pairs in Tweet in G7:
[2] amjperinatology,soaphq [2] soaphq,asalifeline [2] asalifeline,mysmfm [2] mysmfm,acogpregnancy [2] acogpregnancy,awhonn [2] awhonn,nu_obanes [2] nu_obanes,asra_society [2] asra_society,oaainfo [2] oaainfo,preeclampsia [2] preeclampsia,cardioob Top Word Pairs in Tweet in G8:
[3] gtownnhs,hoyaswsoc [3] hoyaswsoc,usfca [3] usfca,inovahealth [3] inovahealth,stanfordchild [3] stanfordchild,awhonn [3] awhonn,microsoft [3] microsoft,microsoftwomen [3] microsoftwomen,msftnews [3] msftnews,philipsna [2] msftmollyrn,gtownnhs Top Word Pairs in Tweet in G9:
[8] #womensnurserecruiter,#awhonn [8] #awhonn,#jobs [4] texas,#womensnurserecruiter [4] hiring,director [4] director,women's [4] women's,services [3] fetal,monitoring [3] #obstetrics,#gynecology [3] #gynecology,#patientcare [3] #patientcare,#womenshealth Top Word Pairs in Tweet in G10:
[6] um_ihpi,great [6] great,work [6] work,led [6] led,ncspmichigan [6] ncspmichigan,scholar [6] scholar,ashleevance_phd [6] ashleevance_phd,umichnursing [4] latest,consensus [4] consensus,statement [3] awhonn,read 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:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: