The graph represents a network of 8,267 Twitter users whose tweets in the requested range contained "cesarean OR c-section", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 October 2021 at 13:26 UTC.
The requested start date was Friday, 08 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 7-hour, 5-minute period from Saturday, 02 October 2021 at 16:52 UTC to Thursday, 07 October 2021 at 23:58 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 : 8267
Unique Edges : 2334
Edges With Duplicates : 13053
Total Edges : 15387
Number of Edge Types : 5
Retweet : 6242
MentionsInRetweet : 6706
Replies to : 606
Mentions : 1177
Tweet : 656
Self-Loops : 669
Reciprocated Vertex Pair Ratio : 0.00627615062761506
Reciprocated Edge Ratio : 0.0124740124740125
Connected Components : 970
Single-Vertex Connected Components : 441
Maximum Vertices in a Connected Component : 2859
Maximum Edges in a Connected Component : 6115
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.323385
Graph Density : 0.000119660457561571
Modularity : 0.510373
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,267 Twitter users whose tweets in the requested range contained "cesarean OR c-section", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 October 2021 at 13:26 UTC.
The requested start date was Friday, 08 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 7-hour, 5-minute period from Saturday, 02 October 2021 at 16:52 UTC to Thursday, 07 October 2021 at 23:58 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 : GraphServerTwitterSearch
Graph Term : cesarean OR c-section
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2349] emergency,section [2092] recover,section [2085] ah,yes [2085] position,feed [2085] feed,kid [2085] kid,recover [2085] section,childcare [2085] childcare,go [2084] yes,conservative [2084] conservative,position Top Word Pairs in Tweet in G1:
[2078] recover,section [2077] ah,yes [2077] yes,conservative [2077] conservative,position [2077] position,feed [2077] feed,kid [2077] kid,recover [2077] section,childcare [2077] childcare,go [2076] aoc,ah Top Word Pairs in Tweet in G2:
[1842] emergency,section [1841] section,baby [1841] baby,during [1841] during,operation [1841] operation,doctor [1841] doctor,colleagues [1841] colleagues,cycle [1840] ruqayyafuad,emergency [445] cycle,cheâ Top Word Pairs in Tweet in G3:
[86] emergency,section [50] covid,19 [46] 19,edmonton [44] pregnant,woman [44] dies,covid [43] sask,pregnant [43] woman,dies [42] edmonton,emergency [27] cesarean,section [24] section,cbc Top Word Pairs in Tweet in G4:
[349] pha,muang [349] muang,force [349] force,coordinated [349] coordinated,medical [349] medical,team [349] team,sky [349] sky,doctor [349] doctor,help [349] help,full [349] full,term Top Word Pairs in Tweet in G5:
[247] cesarean,section [244] ทำไมชาวคณะสล,มเร [244] มเร,ยกปห [244] ยกปห,topazine [244] topazine,ว [244] ว,าจ [244] าจ,ม [244] ม,ม [244] ม,ท [244] ท,มาย Top Word Pairs in Tweet in G6:
[211] 1800's,dr [211] dr,francois [211] francois,marie [211] marie,prevost [211] prevost,father [211] father,cesarian [211] cesarian,section [211] section,tried [211] tried,perfect [211] perfect,cesarean Top Word Pairs in Tweet in G7:
[173] momma,section [173] section,nothing [173] nothing,pussy [173] pussy,bout [172] frvrfranco,momma Top Word Pairs in Tweet in G8:
[162] covid,19 [162] 19,edmonton [161] pregnant,woman [161] woman,dies [161] dies,covid [160] sask,pregnant [143] edmonton,emergency [143] emergency,section [100] cbcsask,sask [19] story,heartbreaking Top Word Pairs in Tweet in G9:
[11] eyesore99848340,morpheouso [11] morpheouso,ronlabarre [11] ronlabarre,traveler3906 [11] traveler3906,balalogy [11] balalogy,1quetzalcoatl1 [11] 1quetzalcoatl1,alkivari [11] alkivari,meljonesladadee [11] meljonesladadee,ladyfey12 [10] prolife_sam,aimeehixauthor [10] genderdysphori3,badams820 Top Word Pairs in Tweet in G10:
[106] having,section [82] stop,fucking [82] fucking,scrolling [82] scrolling,elisea [82] elisea,having [82] section,23 [82] 23,days [82] days,gotten [82] gotten,very [82] very,little 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 G5:
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: