The graph represents a network of 55 Twitter users whose tweets in the requested range contained "cmqcc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 February 2019 at 00:08 UTC.
The requested start date was Sunday, 17 February 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 1-hour, 45-minute period from Sunday, 03 February 2019 at 21:22 UTC to Friday, 15 February 2019 at 23:07 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 : 55
Unique Edges : 64
Edges With Duplicates : 8
Total Edges : 72
Number of Edge Types : 3
Tweet : 3
Mentions : 67
Replies to : 2
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.0666666666666667
Reciprocated Edge Ratio : 0.125
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 46
Maximum Edges in a Connected Component : 65
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.822046
Graph Density : 0.0215488215488216
Modularity : 0.58994
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10] health,care [8] moms,8x [8] 8x,more [8] more,childbirth [8] childbirth,moms [8] moms,norway [8] norway,black [8] black,moms [8] moms,3 [8] 3,4x Top Word Pairs in Tweet in G1:
[7] health,care [6] tl,dr [6] dr,prioritize [6] prioritize,addressing [6] addressing,1 [6] 1,healthdisparities [6] healthdisparities,maternitycare [6] maternitycare,2 [6] 2,rural [6] rural,health Top Word Pairs in Tweet in G2:
[2] many,women [2] women,nearly [2] nearly,dying [2] dying,childbirth [2] childbirth,cross [2] cross,few [2] few,leading [2] leading,theories [2] induce,induce Top Word Pairs in Tweet in G3:
[8] moms,8x [8] 8x,more [8] more,childbirth [8] childbirth,moms [8] moms,norway [8] norway,black [8] black,moms [8] moms,3 [8] 3,4x [8] 4x,more Top Word Pairs in Tweet in G4:
[2] thank,stanfordmed [2] stanfordmed,cmqcc [2] cmqcc,data [2] data,merckformothers [2] merckformothers,following [2] following,evidence [2] evidence,help [2] help,endmaternalmortality Top Word Pairs in Tweet in G5:
[2] yes,hearthealth [2] hearthealth,pregnancy [2] pregnancy,cardiovascular [2] cardiovascular,cmqcc [2] cmqcc,ahascience [2] ahascience,circaha Top Word Pairs in Tweet in G6:
[2] severe,maternal [2] maternal,morbidity [2] morbidity,seen [2] seen,due [2] due,cesarean [2] cesarean,section [2] section,rate [2] rate,decreasing [2] decreasing,preexisting [2] preexisting,co Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: