The graph represents a network of 1,766 Twitter users whose recent tweets were included in a list (Tweet ID List - #cardioobstetrics after 5th search) of 5771 tweet IDs, or who were replied to or mentioned in those tweets. 5771 out of 5771 tweets were collected. The network was obtained from Twitter on Wednesday, 16 February 2022 at 11:39 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 : 1766
Unique Edges : 5992
Edges With Duplicates : 20417
Total Edges : 26409
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.0825580025909787
Reciprocated Edge Ratio : 0.152523933855527
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1766
Maximum Edges in a Connected Component : 26409
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.670459
Graph Density : 0.00294899887391362
Modularity : 0.141338
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,766 Twitter users whose recent tweets were included in a list (Tweet ID List - #cardioobstetrics after 5th search) of 5771 tweet IDs, or who were replied to or mentioned in those tweets. 5771 out of 5771 tweets were collected. The network was obtained from Twitter on Wednesday, 16 February 2022 at 11:39 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 after 5th search
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:
[221] heart,disease [188] during,pregnancy [177] #cardioobstetrics,minnowwalsh [164] pregnancy,#cardioobstetrics [157] maternal,mortality [141] pregnant,women [133] minnowwalsh,drklindley [129] drklindley,nataliebello9 [117] peripartum,cardiomyopathy [115] pregnancy,outcomes Top Word Pairs in Tweet in G1:
[119] heart,disease [78] during,pregnancy [60] pregnancy,#cardioobstetrics [58] pregnant,women [58] #cardioobstetrics,minnowwalsh [46] pregnancy,outcomes [43] women,heart [43] minnowwalsh,drklindley [43] hypertensive,disorders [43] risk,factors Top Word Pairs in Tweet in G2:
[41] #cardioobstetrics,#abcardio4moms [22] #accwic,#wic [21] drmarthagulati,penseewu [19] #wic,#accwic [18] #wic,#wim [17] #cardioobstetrics,minnowwalsh [16] 3,6 [16] d,2 [15] 6,5 [15] 5,d Top Word Pairs in Tweet in G3:
[56] maternal,mortality [36] during,pregnancy [29] heart,disease [28] pregnancy,#cardioobstetrics [26] check,out [26] maternal,health [24] nataliebello9,cardiopcimom [23] pregnancy,outcomes [23] pregnant,women [22] adverse,pregnancy Top Word Pairs in Tweet in G4:
[59] cardionerds,#cardioobstetrics [58] #cardioobstetrics,series [51] pregnancy,#cardioobstetrics [43] peripartum,cardiomyopathy [42] during,pregnancy [38] https,t [38] t,co [37] heart,disease [35] disorders,pregnancy [31] hypertensive,disorders Top Word Pairs in Tweet in G5:
[58] #cardioobstetrics,minnowwalsh [48] minnowwalsh,drklindley [47] nataliebello9,cardiopcimom [44] maternal,mortality [41] drklindley,nataliebello9 [38] cardiovascular,disease [38] minnowwalsh,cardiopcimom [38] cardiopcimom,melindadavismd [36] heart,disease [31] during,pregnancy 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 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 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: