The graph represents a network of 743 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, 10 October 2020 at 19:00 UTC.
The requested start date was Saturday, 10 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 100-day, 5-hour, 0-minute period from Wednesday, 01 July 2020 at 15:00 UTC to Friday, 09 October 2020 at 20:00 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 : 743
Unique Edges : 976
Edges With Duplicates : 1440
Total Edges : 2416
Number of Edge Types : 5
Replies to : 129
Mentions : 1137
MentionsInRetweet : 628
Retweet : 320
Tweet : 202
Self-Loops : 205
Reciprocated Vertex Pair Ratio : 0.0349182763744428
Reciprocated Edge Ratio : 0.0674802584350323
Connected Components : 26
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 704
Maximum Edges in a Connected Component : 2367
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.168866
Graph Density : 0.00252672744356129
Modularity : 0.419339
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 743 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, 10 October 2020 at 19:00 UTC.
The requested start date was Saturday, 10 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 100-day, 5-hour, 0-minute period from Wednesday, 01 July 2020 at 15:00 UTC to Friday, 09 October 2020 at 20:00 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:
[62] learn,more [43] pregnant,women [38] covid,19 [37] implicit,bias [25] nln,aan_nursing [24] call,action [24] acog,aafp [23] aafp,acnmmidwives [22] acnmmidwives,awhonn [21] raise,awareness Top Word Pairs in Tweet in G1:
[54] learn,more [19] covid,19 [17] evidence,based [17] raise,awareness [16] awhonn,insights [16] women,health [15] pregnant,women [13] today,#awhonn [13] board,directors [13] implicit,bias Top Word Pairs in Tweet in G2:
[22] implicit,bias [17] values,based [17] based,implicit [16] proud,partner [16] partner,awhonn [16] awhonn,initiative [16] initiative,develop [16] develop,values [15] aan_nursing,ananursingworld [15] blkwomenshealth,proud Top Word Pairs in Tweet in G3:
[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 G4:
[18] covid,19 [13] pinned,tweet [12] aacnursing,nln [11] nln,aan_nursing [10] see,pinned [10] nurses,die [7] die,covid [7] nationalnurses,ananursingworld [6] awhonn,acnmmidwives [6] heerak,predicts Top Word Pairs in Tweet in G5:
[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 G6:
[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 G7:
[4] awhonn,blkmamasmatter [3] roe,wade [3] better,women [3] women,right [3] right,make [3] make,decisions [3] decisions,childbirth [3] childbirth,women [3] women,private [3] private,insurance Top Word Pairs in Tweet in G8:
[4] acog,aagl [4] aagl,acnmmidwives [4] acnmmidwives,apgonews [4] apgonews,reprodmed [4] reprodmed,fpmrs [4] fpmrs,awhonn [4] awhonn,npwf [4] npwf,sasgog [4] sasgog,sgo_org [4] sgo_org,mysmfm 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:
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 G9:
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 G9:
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: