The graph represents a network of 706 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, 03 October 2020 at 19:00 UTC.
The requested start date was Saturday, 03 October 2020 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 93-day, 8-hour, 21-minute period from Wednesday, 01 July 2020 at 15:00 UTC to Friday, 02 October 2020 at 23:21 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 : 706
Unique Edges : 964
Edges With Duplicates : 1279
Total Edges : 2243
Number of Edge Types : 5
Mentions : 1067
Retweet : 284
MentionsInRetweet : 589
Replies to : 122
Tweet : 181
Self-Loops : 184
Reciprocated Vertex Pair Ratio : 0.0345622119815668
Reciprocated Edge Ratio : 0.066815144766147
Connected Components : 25
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 668
Maximum Edges in a Connected Component : 2198
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.20309
Graph Density : 0.00270628654089567
Modularity : 0.444255
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 706 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, 03 October 2020 at 19:00 UTC.
The requested start date was Saturday, 03 October 2020 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 93-day, 8-hour, 21-minute period from Wednesday, 01 July 2020 at 15:00 UTC to Friday, 02 October 2020 at 23:21 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:
[54] learn,more [41] pregnant,women [37] implicit,bias [29] covid,19 [24] call,action [24] acog,aafp [23] aafp,acnmmidwives [22] nln,aan_nursing [22] acnmmidwives,awhonn [21] women,receive Top Word Pairs in Tweet in G1:
[46] learn,more [33] implicit,bias [19] values,based [19] based,implicit [19] proud,partner [17] evidence,based [17] partner,awhonn [17] awhonn,initiative [17] initiative,develop [17] develop,values Top Word Pairs in Tweet in G2:
[28] pregnant,women [24] acog,aafp [23] call,action [23] aafp,acnmmidwives [16] women,receive [16] acnmmidwives,awhonn [15] read,immunization [13] read,call [13] receive,both [12] #clinicians,strong Top Word Pairs in Tweet in G3:
[6] read,full [6] full,review [6] review,vtoxfordnetwork [6] vtoxfordnetwork,cochrane_us [6] cochrane_us,cochranenutri [6] cochranenutri,neonatalnurses [5] cochraneneonate,read [5] neonatalnurses,cochran [4] tiffany,moore [4] shared,decision Top Word Pairs in Tweet in G4:
[4] harvardchansph,acog [4] acog,rcobsgyn [4] rcobsgyn,acnmmidwives [4] acnmmidwives,donaintl [4] donaintl,awhonn [4] awhonn,everymomcounts [4] everymomcounts,usnews [4] usnews,theihi [4] theihi,ariadnelabs [4] acog,aagl Top Word Pairs in Tweet in G5:
[15] aan_nursing,ananursingworld [14] aacnursing,awhonn [14] awhonn,elseviernurse [14] elseviernurse,nln [14] nln,aan_nursing [8] white,supremacy [8] drannamvaldez,aacnursing [6] #nurse,stands [6] stands,solidarity [6] solidarity,nurses Top Word Pairs in Tweet in G6:
[13] covid,19 [9] aacnursing,nln [9] pinned,tweet [8] nln,aan_nursing [8] nurses,die [6] flu,season [6] see,pinned [6] die,covid [5] heerak,predicts [4] aan_nursing,aacnme Top Word Pairs in Tweet in G7:
[8] yalemfm,mysmfm [8] mysmfm,awhonn [5] acog,preeclampsia [5] preeclampsia,greenjrnled [5] greenjrnled,yalemfm [5] awhonn,acnmmidwives [5] acnmmidwives,womendeliver [5] womendeliver,lisaksheldon [4] swafm_,acog [4] lisaksheldon,oncologynursing Top Word Pairs in Tweet in G8:
[6] nationalnurses,ananursingworld [5] aorn,canadanurses [5] canadanurses,nursestandard [5] #setphnursesfree,wenurses [4] wenurses,nationalnurses [4] ananursingworld,medscapenurses [4] medscapenurses,aorn [4] nursestandard,icnurses [3] please,help [3] help,fellow Top Word Pairs in Tweet in G9:
[3] laboring,mothers [3] capublichealth,awhonn [3] allowing,laboring [3] acog,awhonn [2] hhsgov,kpscalnews [2] kpscalnews,mental [2] mental,health [2] health,important [2] important,laboring [2] mothers,support Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: