The graph represents a network of 3,132 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics manual) of 10826 tweet IDs, or who were replied to or mentioned in those tweets. 10819 out of 10826 tweets were collected. The network was obtained from Twitter on Saturday, 12 March 2022 at 17:18 UTC.
The tweets in the network were tweeted over the 1394-day, 18-hour, 47-minute period from Friday, 27 April 2018 at 00:26 UTC to Saturday, 19 February 2022 at 19:13 UTC.
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 : 3132
Unique Edges : 15196
Edges With Duplicates : 32055
Total Edges : 47251
Self-Loops : 1847
Reciprocated Vertex Pair Ratio : 0.091724354940214
Reciprocated Edge Ratio : 0.168035740020176
Connected Components : 55
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 3064
Maximum Edges in a Connected Component : 47180
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.956854
Graph Density : 0.00212282073591119
Modularity : 0.205907
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,132 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics + manual) of 10826 tweet IDs, or who were replied to or mentioned in those tweets. 10819 out of 10826 tweets were collected. The network was obtained from Twitter on Saturday, 12 March 2022 at 17:18 UTC.
The tweets in the network were tweeted over the 1394-day, 18-hour, 47-minute period from Friday, 27 April 2018 at 00:26 UTC to Saturday, 19 February 2022 at 19:13 UTC.
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 #cardioobstetrics + manual
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:
[373] pregnancy,#cardioobstetrics [358] heart,disease [303] during,pregnancy [257] #cardioobstetrics,minnowwalsh [241] #cardioed,#cardiotwitter [240] maternal,mortality [240] disorders,pregnancy [238] peripartum,cardiomyopathy [234] hypertensive,disorders [212] pregnant,women Top Word Pairs in Tweet in G1:
[215] pregnancy,#cardioobstetrics [193] heart,disease [182] during,pregnancy [162] #cardioobstetrics,minnowwalsh [151] maternal,mortality [138] pregnant,women [127] peripartum,cardiomyopathy [124] minnowwalsh,drklindley [124] drklindley,nataliebello9 [122] hypertensive,disorders Top Word Pairs in Tweet in G2:
[209] #cardioed,#cardiotwitter [146] #cardioobs,#cardioobstetrics [118] pregnancy,#cardioobstetrics [106] #cardioobstetrics,#cardioed [104] heart,disease [104] #cardiotwitter,#cardioobstetrics [80] diagnosis,management [77] disorders,pregnancy [76] supraventricular,arrhythmia [75] hypertensive,disorders Top Word Pairs in Tweet in G3:
[69] #cardioobstetrics,#abcardio4moms [50] #cardioobstetrics,minnowwalsh [46] #accwic,#wic [41] maternal,mortality [37] penseewu,mmamas1973 [36] led,penseewu [33] great,work [32] #abcardio4moms,#cardioobstetrics [31] maternal,health [31] during,pregnancy Top Word Pairs in Tweet in G4:
[29] pre,eclampsia [27] #cardioobstetrics,minnowwalsh [26] acute,cardiac [26] cardiac,effects [26] effects,severe [26] severe,pre [26] eclampsia,#cardioobstetrics [25] maternal,mortality [22] heart,disease [21] cardiovascular,disease Top Word Pairs in Tweet in G5:
[49] excited,honored [49] honored,sharing [49] sharing,arrhythmias [49] arrhythmias,pregnancy [49] pregnancy,state [49] state,art [49] art,review [49] review,jaccjournals [49] jaccjournals,#epeeps [49] #epeeps,#cardioobstetrics Top Word Pairs in Tweet in G6:
[5] cardiovascular,disease [4] maternal,deaths [4] #cardioobstetrics,#cardiotwitter [4] #cardioobstetrics,#nmcchat [3] check,out [3] pregnant,women [3] caring,pregnant [3] maternal,cardiovascular [3] rising,number [3] number,cv Top Word Pairs in Tweet in G7:
[2] team,approach [2] pregnant,women Top Word Pairs in Tweet in G8:
[19] #cardioobstetrics,#nmcchat [4] #foamob,#foamed [4] #foamed,#meded [4] #meded,#medtwitter [4] #medtwitter,#obgyn [4] #obgyn,#obgyntwitter [3] check,out [2] organizations,support [2] help,talk [2] more,time Top Word Pairs in Tweet in G9:
[3] #some,editorial [3] editorial,team [3] let's,chat [2] #hyphip,chat [2] #womenshealth,#cardioobstetrics [2] hyperaha,twitter [2] twitter,live [2] live,chat [2] mchonig,#some [2] latest,posts Top Word Pairs in Tweet in G10:
[16] #epeeps,#cardioobstetrics [15] case,series [15] series,role [15] role,#whycmr [15] #whycmr,detection [15] detection,right [15] right,ventricular [15] ventricular,thrombus [15] thrombus,patients [15] patients,pulmonary 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 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: