The graph represents a network of 1,566 Twitter users whose recent tweets were included in a list (Tweet ID List - 1st 2nd #cardioobstetrics import) of 3567 tweet IDs, or who were replied to or mentioned in those tweets. 3567 out of 3567 tweets were collected. The network was obtained from Twitter on Monday, 14 February 2022 at 15:56 UTC.
The tweets in the network were tweeted over the 1387-day, 23-hour, 6-minute period from Friday, 27 April 2018 at 19:35 UTC to Sunday, 13 February 2022 at 18:42 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 : 1566
Unique Edges : 4029
Edges With Duplicates : 13583
Total Edges : 17612
Self-Loops : 932
Reciprocated Vertex Pair Ratio : 0.0725591321358705
Reciprocated Edge Ratio : 0.135300945116896
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1566
Maximum Edges in a Connected Component : 17612
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.641516
Graph Density : 0.00246083915798579
Modularity : 0.151606
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,566 Twitter users whose recent tweets were included in a list (Tweet ID List - 1st + 2nd #cardioobstetrics import) of 3567 tweet IDs, or who were replied to or mentioned in those tweets. 3567 out of 3567 tweets were collected. The network was obtained from Twitter on Monday, 14 February 2022 at 15:56 UTC.
The tweets in the network were tweeted over the 1387-day, 23-hour, 6-minute period from Friday, 27 April 2018 at 19:35 UTC to Sunday, 13 February 2022 at 18:42 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 : TwitterIDList
Graph Term : Tweet ID List - 1st + 2nd #cardioobstetrics import
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[142] heart,disease [125] #cardioobstetrics,minnowwalsh [121] during,pregnancy [113] pregnant,women [108] minnowwalsh,drklindley [106] drklindley,nataliebello9 [105] maternal,mortality [103] pregnancy,#cardioobstetrics [90] peripartum,cardiomyopathy [86] pregnancy,outcomes Top Word Pairs in Tweet in G1:
[41] #cardioobstetrics,#abcardio4moms [22] #accwic,#wic [19] #wic,#accwic [18] #wic,#wim [15] 3,6 [15] 6,5 [15] 5,d [15] much,more [15] #abcardio4moms,#wic [14] #internationalwomensday,#iwd2021 Top Word Pairs in Tweet in G2:
[75] heart,disease [51] pregnant,women [50] during,pregnancy [48] #cardioobstetrics,minnowwalsh [42] pre,conception [36] minnowwalsh,drklindley [33] drklindley,nataliebello9 [32] #socnconf2020,#cardioobstetrics [31] pregnancy,#cardioobstetrics [30] cardiovascular,disease Top Word Pairs in Tweet in G3:
[42] during,pregnancy [41] peripartum,cardiomyopathy [39] maternal,mortality [39] pregnancy,#cardioobstetrics [34] cardionerds,#cardioobstetrics [34] heart,disease [34] #cardioobstetrics,series [33] https,t [33] t,co [29] #cardioobstetrics,drklindley Top Word Pairs in Tweet in G4:
[23] #cardioobstetrics,minnowwalsh [21] minnowwalsh,drklindley [20] maternal,mortality [19] pregnancy,outcomes [19] drklindley,nataliebello9 [18] pregnancy,#cardioobstetrics [18] heart,disease [18] nataliebello9,cardiopcimom [17] adverse,pregnancy [16] nataliebello9,melindadavismd Top Word Pairs in Tweet in G5:
[30] #cardioobstetrics,minnowwalsh [27] minnowwalsh,drklindley [25] drklindley,nataliebello9 [23] nataliebello9,cardiopcimom [23] minnowwalsh,cardiopcimom [20] maternal,mortality [20] cardiopcimom,melindadavismd [18] nataliebello9,melindadavismd [15] cardiopcimom,nataliebello9 [14] heart,failure Top Word Pairs in Tweet in G6:
[10] cardiopcimom,melindadavismd [8] nataliebello9,cardiopcimom [6] #cardioobstetrics,minnowwalsh [6] drklindley,nataliebello9 [6] nataliebello9,minnowwalsh [6] drklindley,cardiopcimom [6] minnowwalsh,cardiopcimom [6] amanda_henry_ak,arnottclare [5] minnowwalsh,drklindley [5] cardiovascular,disease Top Word Pairs in Tweet in G7:
[10] #cardioobstetrics,congrats [9] fellow,dranumminhas [8] check,out [8] work,#cardioobstetrics [8] grand,rounds [8] study,led [8] cardiology,fellow [7] #cardioobstetrics,study [7] pregnant,women [7] maternal,health Top Word Pairs in Tweet in G8:
[3] tetralogy,fallot [2] impact,pregnancy [2] pregnancy,ventricular [2] ventricular,strain [2] strain,women [2] women,repaired [2] repaired,tetralogy [2] fallot,changes [2] #achd,#cardioobstetrics [2] vaginal,birth 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 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 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: