The graph represents a network of 2,471 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics manual import) of 4353 tweet IDs, or who were replied to or mentioned in those tweets. 4353 out of 4353 tweets were collected. The network was obtained from Twitter on Friday, 04 March 2022 at 10:32 UTC.
The tweets in the network were tweeted over the 1375-day, 23-hour, 9-minute period from Friday, 27 April 2018 at 00:26 UTC to Monday, 31 January 2022 at 23:36 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 : 2471
Unique Edges : 4691
Edges With Duplicates : 11658
Total Edges : 16349
Self-Loops : 1728
Reciprocated Vertex Pair Ratio : 0.0716193656093489
Reciprocated Edge Ratio : 0.133665680012463
Connected Components : 71
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 2381
Maximum Edges in a Connected Component : 16241
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.289642
Graph Density : 0.00105171405305593
Modularity : 0.21502
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,471 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics manual import) of 4353 tweet IDs, or who were replied to or mentioned in those tweets. 4353 out of 4353 tweets were collected. The network was obtained from Twitter on Friday, 04 March 2022 at 10:32 UTC.
The tweets in the network were tweeted over the 1375-day, 23-hour, 9-minute period from Friday, 27 April 2018 at 00:26 UTC to Monday, 31 January 2022 at 23:36 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 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:
[128] heart,disease [95] maternal,mortality [87] during,pregnancy [83] cardiovascular,disease [77] pregnancy,#cardioobstetrics [73] #cardioobstetrics,minnowwalsh [67] pregnant,women [60] risk,factors [59] check,out [58] disorders,pregnancy Top Word Pairs in Tweet in G1:
[23] maternal,mortality [23] during,pregnancy [22] heart,disease [16] #cardioobstetrics,#accwic [15] pregnancy,#cardioobstetrics [15] women,s [13] high,risk [12] #cardioobstetrics,minnowwalsh [12] drklindley,cardiopcimom [12] cardiovascular,disease Top Word Pairs in Tweet in G2:
[35] minnowwalsh,drklindley [34] #cardioobstetrics,minnowwalsh [32] pregnancy,#cardioobstetrics [32] heart,disease [29] peripartum,cardiomyopathy [29] #cardioobstetrics,series [28] drklindley,nataliebello9 [27] cardionerds,#cardioobstetrics [20] check,out [19] during,pregnancy 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:
[27] heart,disease [16] care,women [16] pre,conception [16] #socnconf2020,#cardioobstetrics [15] looking,forward [14] women,heart [13] during,pregnancy [13] m4ggiesimpson,s_o_c_n [12] conception,counselling [12] cardiac,disease Top Word Pairs in Tweet in G5:
[26] #cardioobstetrics,#medtwitter [20] #cardioobstetrics,#cardiotwitter [19] #cardioobstetrics,#nmcchat [17] cardiovascular,disease [14] #medtwitter,#epitwitter [13] #cardiotwitter,#cardioobstetrics [12] heart,disease [12] maternal,mortality [12] disorders,pregnancy [11] follow,up Top Word Pairs in Tweet in G6:
[29] maternal,mortality [22] cardiovascular,disease [19] nataliebello9,cardiopcimom [16] minnowwalsh,cardiopcimom [15] #cardioobstetrics,minnowwalsh [13] risk,factors [13] cardiopcimom,melindadavismd [11] pregnancy,related [11] pregnant,women [11] during,pregnancy Top Word Pairs in Tweet in G7:
[33] #cardioobstetrics,#nmcchat [14] heart,disease [13] check,out [11] work,#cardioobstetrics [10] during,pregnancy [10] #cardioobstetrics,congrats [9] adverse,pregnancy [9] cardiovascular,disease [9] #cardioobstetrics,#cvprev [9] cardiology,fellow Top Word Pairs in Tweet in G8:
[4] heart,disease [3] minnowwalsh,drklindley [3] risk,factor [3] #medtwitter,#cardiotwitter [3] covid,19 [3] new,#cardioobstetrics [3] jennlewey,lisaobdoc [3] #cardioobstetrics,clinic [2] ccardydnp,hvanspall [2] erinmichos,drmarthagulati Top Word Pairs in Tweet in G9:
[4] #cardioobstetrics,#herheartmatters [4] heart,disease [3] maternal,mortality [3] #cardioobstetrics,minnowwalsh [3] #cardioobstetrics,ohioacc [3] team,based [3] based,approach [3] soaphq,cas_obsection [2] ob,gyn [2] sex,specific Top Word Pairs in Tweet in G10:
[12] #cardioobstetrics,#enfermedadcardiovascularyembarazo [6] #cardioobstetrics,#cardiotwitter [5] cardiovascular,disease [4] maternal,deaths [4] #cardioobstetrics,#nmcchat [3] check,out [3] pregnant,women [3] caring,pregnant [3] maternal,cardiovascular [3] rising,number 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: