The graph represents a network of 933 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, 09 May 2020 at 18:42 UTC.
The requested start date was Saturday, 09 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 67-day, 6-hour, 47-minute period from Monday, 02 March 2020 at 16:01 UTC to Friday, 08 May 2020 at 22:49 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 : 933
Unique Edges : 1624
Edges With Duplicates : 2405
Total Edges : 4029
Number of Edge Types : 5
Retweet : 590
MentionsInRetweet : 1490
Mentions : 1613
Replies to : 180
Tweet : 156
Self-Loops : 160
Reciprocated Vertex Pair Ratio : 0.0387494495816821
Reciprocated Edge Ratio : 0.0746078846969055
Connected Components : 27
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 886
Maximum Edges in a Connected Component : 3970
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.107389
Graph Density : 0.00271287875651482
Modularity : 0.419352
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 933 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, 09 May 2020 at 18:42 UTC.
The requested start date was Saturday, 09 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 67-day, 6-hour, 47-minute period from Monday, 02 March 2020 at 16:01 UTC to Friday, 08 May 2020 at 22:49 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:
[100] covid,19 [53] mywsna,seiu1199nw [53] awhonn,bastyr [53] bastyr,ananursingworld [47] ananursingworld,amr_social [46] seiu1199nw,awhonn [42] thursday,march [42] ninr,awhonn [42] alicebgreenrn,mywsna [34] acnmmidwives,awhonn Top Word Pairs in Tweet in G1:
[50] covid,19 [41] ninr,awhonn [20] kodiaksoled,ninr [19] addresses,attendees [19] attendees,reception [19] reception,last [19] last,night [18] black,maternal [17] charles,johnson [17] johnson,whose Top Word Pairs in Tweet in G2:
[34] thursday,march [33] judettelouis,chrishanmfm [31] join,thursday [31] march,19 [31] 19,1pm [31] 1pm,live [31] live,webinar [31] webinar,judettelouis [31] chrishanmfm,#covid19 [31] #covid19,pregnancy Top Word Pairs in Tweet in G3:
[25] nrsgmutualaid,muscnursing [25] muscnursing,awhonn [18] sambernsteinrn,nrsgmutualaid [17] marchformoms,marchofdimes [16] acog,smfm [16] visitors,blocked [16] blocked,caring [16] caring,patients [16] patients,antepartum [13] #doulas,visitors Top Word Pairs in Tweet in G4:
[5] aacnursing,nln [5] nationalnurses,nynurses [4] nln,aan_nursing [3] #advancednursing,#oncologynursing [3] #oncologynursing,#cardiacnursing [3] #cardiacnursing,#pediatricnursing [3] #pediatricnursing,#nurses2020 [3] #nurses2020,ucf_nursing [3] ucf_nursing,iowanursesassoc [3] iowanursesassoc,nursingconf20 Top Word Pairs in Tweet in G5:
[20] obscymru,set [20] set,paper [20] paper,published [20] published,#bmj [20] #bmj,open [20] open,quality [20] quality,thanks [20] thanks,amazing [20] amazing,teams [20] teams,turned Top Word Pairs in Tweet in G6:
[21] hope,join [19] #newbornbrain,#newbornbrainsociety [18] excited,announce [18] announce,webinar [18] webinar,series [18] series,hope [18] join,#newbornbrain [18] #newbornbrainsociety,#nicu [17] newbornbrains,excited [16] #nicu,#ebneoâ Top Word Pairs in Tweet in G7:
[53] mywsna,seiu1199nw [53] awhonn,bastyr [53] bastyr,ananursingworld [47] ananursingworld,amr_social [46] seiu1199nw,awhonn [42] alicebgreenrn,mywsna [28] eclecticradical,alicebgreenrn [25] redberetsm4all,eclecticradical [16] amr_social,sad [16] sad,right Top Word Pairs in Tweet in G8:
[5] nurses,nursing [5] nursing,students [5] students,bedside [5] bedside,board [5] board,room [5] room,make [5] make,largest [5] largest,sector [5] sector,healthcare [4] awhonn,acnmmidwives Top Word Pairs in Tweet in G9:
[18] covid,19 [17] uncomplicated,#covid19 [17] #covid19,infection [17] infection,#pregnancy [17] #pregnancy,evidence [17] evidence,covid [17] 19,transmission [17] transmission,community [16] lisanoguchi,uncomplicated [16] community,themselve Top Word Pairs in Tweet in G10:
[6] millihill,teamcmido [6] teamcmido,birthrightsorg [6] birthrightsorg,cathywarwick8 [4] doulauk,quashiemichelle [4] quashiemichelle,uclh [4] uclh,doula_siobhan [4] doula_siobhan,yanarichens [4] yanarichens,millihill [4] awhonn,supports [4] supports,doulas 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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