The graph represents a network of 1,297 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics from user list (1)) of 2388 tweet IDs, or who were replied to or mentioned in those tweets. 2388 out of 2388 tweets were collected. The network was obtained from Twitter on Sunday, 13 February 2022 at 19:30 UTC.
The tweets in the network were tweeted over the 1387-day, 7-hour, 45-minute period from Friday, 27 April 2018 at 19:35 UTC to Sunday, 13 February 2022 at 03:21 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 : 1297
Unique Edges : 2845
Edges With Duplicates : 9809
Total Edges : 12654
Self-Loops : 649
Reciprocated Vertex Pair Ratio : 0.0649900398406374
Reciprocated Edge Ratio : 0.122048164601356
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1297
Maximum Edges in a Connected Component : 12654
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.578768
Graph Density : 0.00254445205935825
Modularity : 0.165049
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,297 Twitter users whose recent tweets were included in a list (Tweet ID List #cardioobstetrics from user list (1)) of 2388 tweet IDs, or who were replied to or mentioned in those tweets. 2388 out of 2388 tweets were collected. The network was obtained from Twitter on Sunday, 13 February 2022 at 19:30 UTC.
The tweets in the network were tweeted over the 1387-day, 7-hour, 45-minute period from Friday, 27 April 2018 at 19:35 UTC to Sunday, 13 February 2022 at 03:21 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 from user list (1)
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:
[89] #cardioobstetrics,minnowwalsh [87] heart,disease [86] minnowwalsh,drklindley [86] maternal,mortality [85] during,pregnancy [84] pregnant,women [83] drklindley,nataliebello9 [68] pregnancy,#cardioobstetrics [63] cardiovascular,disease [60] nataliebello9,cardiopcimom 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:
[54] heart,disease [52] during,pregnancy [41] pregnancy,#cardioobstetrics [41] maternal,mortality [37] pregnant,women [35] peripartum,cardiomyopathy [33] pregnancy,outcomes [27] hypertensive,disorders [27] disorders,pregnancy [27] cardiovascular,disease Top Word Pairs in Tweet in G3:
[34] #cardioobstetrics,minnowwalsh [33] drklindley,nataliebello9 [32] minnowwalsh,drklindley [24] pregnant,women [22] nataliebello9,melindadavismd [20] cardiovascular,disease [19] heart,disease [18] #cardioobstetrics,drklindley [18] nataliebello9,cardiopcimom [17] focus,seminar Top Word Pairs in Tweet in G4:
[30] #cardioobstetrics,minnowwalsh [26] minnowwalsh,drklindley [26] drklindley,nataliebello9 [23] nataliebello9,cardiopcimom [22] minnowwalsh,cardiopcimom [21] maternal,mortality [20] cardiopcimom,melindadavismd [18] nataliebello9,melindadavismd [14] cardiopcimom,nataliebello9 [13] minnowwalsh,nataliebello9 Top Word Pairs in Tweet in G5:
[9] #cardioobstetrics,congrats [8] grand,rounds [7] check,out [7] #cardioobstetrics,study [7] maternal,health [7] work,#cardioobstetrics [7] study,led [7] fellow,dranumminhas [6] pregnant,women [6] #cardioobstetrics,#ppcm Top Word Pairs in Tweet in G6:
[10] #cardioobstetrics,series [9] ahauspurg,kberlacher [9] #cardioobstetrics,ahauspurg [9] minnowwalsh,drklindley [8] cardiopcimom,nataliebello9 [8] cardionerds,#cardioobstetrics [8] https,t [8] t,co [7] maternal,mortality [7] drklindley,nataliebello9 Top Word Pairs in Tweet in G7:
[2] #achd,#pregnancy [2] wschnettler,cincyachd 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 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 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: