The graph represents a network of 2,415 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics - 1-5 added RTs) of 7011 tweet IDs, or who were replied to or mentioned in those tweets. 7011 out of 7011 tweets were collected. The network was obtained from Twitter on Thursday, 17 February 2022 at 11:04 UTC.
The tweets in the network were tweeted over the 1389-day, 18-hour, 49-minute period from Friday, 27 April 2018 at 00:26 UTC to Monday, 14 February 2022 at 19:16 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 : 2415
Unique Edges : 10109
Edges With Duplicates : 21150
Total Edges : 31259
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.0700717269646094
Reciprocated Edge Ratio : 0.130966411314084
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2415
Maximum Edges in a Connected Component : 31259
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.764328
Graph Density : 0.00232872083309748
Modularity : 0.219469
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,415 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics - 1-5 + added RTs) of 7011 tweet IDs, or who were replied to or mentioned in those tweets. 7011 out of 7011 tweets were collected. The network was obtained from Twitter on Thursday, 17 February 2022 at 11:04 UTC.
The tweets in the network were tweeted over the 1389-day, 18-hour, 49-minute period from Friday, 27 April 2018 at 00:26 UTC to Monday, 14 February 2022 at 19:16 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 - 1-5 + added RTs
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:
[275] pregnancy,#cardioobstetrics [244] #cardioed,#cardiotwitter [235] heart,disease [219] #cardioobstetrics,minnowwalsh [188] during,pregnancy [171] #cardioobs,#cardioobstetrics [164] peripartum,cardiomyopathy [160] disorders,pregnancy [159] hypertensive,disorders [157] maternal,mortality Top Word Pairs in Tweet in G1:
[166] heart,disease [139] #cardioobstetrics,minnowwalsh [139] during,pregnancy [117] maternal,mortality [113] pregnancy,#cardioobstetrics [101] pregnant,women [101] drklindley,nataliebello9 [99] minnowwalsh,drklindley [82] nataliebello9,cardiopcimom [80] pregnancy,outcomes Top Word Pairs in Tweet in G2:
[104] arrhythmias,pregnancy [88] pregnancy,#cardioobstetrics [77] #epeeps,#cardioobstetrics [75] state,art [75] art,review [74] review,jaccjournals [74] #cardioobstetrics,cardioob [73] excited,honored [73] honored,sharing [73] sharing,arrhythmias Top Word Pairs in Tweet in G3:
[41] #cardioobstetrics,#abcardio4moms [22] #accwic,#wic [19] #wic,#accwic [18] #wic,#wim [15] 3,6 [15] 6,5 [15] 5,d [15] d,2 [15] much,more [15] #abcardio4moms,#wic Top Word Pairs in Tweet in G4:
[57] #cardioobstetrics,minnowwalsh [44] blood,pressure [43] hypertension,pregnancy [42] #cardioed,#cardioobstetrics [41] risk,women [40] pregnancy,diagnosis [40] diagnosis,blood [40] pressure,goals [40] goals,pharmacotherapy [40] pharmacotherapy,circaha Top Word Pairs in Tweet in G5:
[158] #cardioed,#cardiotwitter [99] #cardioobs,#cardioobstetrics [76] #cardiotwitter,#cardioobstetrics [72] #cardioobstetrics,#cardioed [64] supraventricular,arrhythmia [59] #review,#cardioed [57] arrhythmia,#pregnancy [57] #pregnancy,heart_bmj [57] heart_bmj,#review [36] disease,pregnancy Top Word Pairs in Tweet in G6:
[27] pregnancy,associated [26] associated,myocardial [26] myocardial,infarction [26] infarction,review [26] review,current [26] current,practices [26] practices,guidelines [26] guidelines,#cardioobstetrics [26] #cardioobstetrics,ankurkalramd [26] ankurkalramd,drmarthagulati Top Word Pairs in Tweet in G7:
[31] future,cv [31] cv,risk [30] #fitsurvivalguide,cv [30] cv,disease [30] disease,pregnancy [30] pregnancy,#cardioobstetrics [30] #cardioobstetrics,#tweetorial [30] #tweetorial,new [30] new,#cardiologyfit [30] #cardiologyfit,monsangh Top Word Pairs in Tweet in G8:
[16] congratulations,dswilliams_md [16] dswilliams_md,study [16] study,identifying [16] identifying,two [16] two,fold [16] fold,increased [16] increased,risk [16] risk,#hfpef [16] #hfpef,over [16] over,decade Top Word Pairs in Tweet in G9:
[2] blood,pressure 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 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: