The graph represents a network of 2,510 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics mentions usearch) of 8787 tweet IDs, or who were replied to or mentioned in those tweets. 8786 out of 8787 tweets were collected. The network was obtained from Twitter on Saturday, 19 February 2022 at 10:42 UTC.
The tweets in the network were tweeted over the 1391-day, 21-hour, 6-minute period from Friday, 27 April 2018 at 00:26 UTC to Wednesday, 16 February 2022 at 21:33 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 : 2510
Unique Edges : 13091
Edges With Duplicates : 27829
Total Edges : 40920
Self-Loops : 1170
Reciprocated Vertex Pair Ratio : 0.0885184739439162
Reciprocated Edge Ratio : 0.162640278622367
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2510
Maximum Edges in a Connected Component : 40920
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.759234
Graph Density : 0.00287236863625609
Modularity : 0.207291
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,510 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics + mentions usearch) of 8787 tweet IDs, or who were replied to or mentioned in those tweets. 8786 out of 8787 tweets were collected. The network was obtained from Twitter on Saturday, 19 February 2022 at 10:42 UTC.
The tweets in the network were tweeted over the 1391-day, 21-hour, 6-minute period from Friday, 27 April 2018 at 00:26 UTC to Wednesday, 16 February 2022 at 21:33 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 #cardioobstetrics + mentions usearch
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:
[346] pregnancy,#cardioobstetrics [314] heart,disease [269] during,pregnancy [245] #cardioed,#cardiotwitter [234] #cardioobstetrics,minnowwalsh [218] peripartum,cardiomyopathy [210] hypertensive,disorders [210] disorders,pregnancy [196] maternal,mortality [192] pregnant,women Top Word Pairs in Tweet in G1:
[195] pregnancy,#cardioobstetrics [173] heart,disease [169] during,pregnancy [149] #cardioobstetrics,minnowwalsh [134] pregnant,women [134] maternal,mortality [121] peripartum,cardiomyopathy [116] drklindley,nataliebello9 [112] minnowwalsh,drklindley [110] hypertensive,disorders Top Word Pairs in Tweet in G2:
[141] #cardioed,#cardiotwitter [117] #cardioobs,#cardioobstetrics [103] pregnancy,#cardioobstetrics [100] #cardioobstetrics,#cardioed [96] heart,disease [75] diagnosis,management [72] pregnancy,associated [66] disease,pregnancy [66] management,arrhythmias [65] disorders,pregnancy Top Word Pairs in Tweet in G3:
[67] #cardioobstetrics,#abcardio4moms [47] #accwic,#wic [32] #abcardio4moms,#cardioobstetrics [30] #cardioobstetrics,study [30] #wic,#wim [29] #wic,#accwic [29] #wic,#heforshe [28] #abcardio4moms,#abcardiojc [28] #abcardiojc,#outcomesjc [27] #cardioobstetrics,minnowwalsh Top Word Pairs in Tweet in G4:
[80] #cardioed,#cardiotwitter [69] #cardiotwitter,#cardioobstetrics [64] supraventricular,arrhythmia [57] arrhythmia,#pregnancy [57] #pregnancy,heart_bmj [57] heart_bmj,#review [57] #review,#cardioed [45] blood,pressure [44] #cardioed,#cardioobstetrics [40] hypertension,pregnancy Top Word Pairs in Tweet in G5:
[51] state,art [50] excited,honored [50] honored,sharing [50] sharing,arrhythmias [50] arrhythmias,pregnancy [50] pregnancy,state [50] art,review [50] review,jaccjournals [50] jaccjournals,#epeeps [50] #epeeps,#cardioobstetrics Top Word Pairs in Tweet in G6:
[7] recognizing,preeclampsia [7] preeclampsia,hypertension [7] hypertension,pregnancy [7] pregnancy,equivalent [7] equivalent,positive [7] positive,stress [7] stress,test [7] test,pregnancy [7] pregnancy,unmasking [7] unmasking,future Top Word Pairs in Tweet in G9:
[2] penseewu,minnowwalsh [2] minnowwalsh,#cardioobstetrics [2] #cardioobstetrics,acognews [2] acognews,drstaceyrosen [2] drstaceyrosen,drjmieres [2] drjmieres,mmamas1973 [2] mmamas1973,iamritu [2] iamritu,vietheartpa 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 G9:
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: