The graph represents a network of 9,062 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, 18 September 2020 at 13:20 UTC.
The requested start date was Friday, 18 September 2020 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 13-day, 23-hour, 56-minute period from Friday, 04 September 2020 at 00:02 UTC to Thursday, 17 September 2020 at 23:59 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 : 9062
Unique Edges : 5742
Edges With Duplicates : 7056
Total Edges : 12798
Number of Edge Types : 5
Retweet : 3083
MentionsInRetweet : 3672
Tweet : 1915
Replies to : 2036
Mentions : 2092
Self-Loops : 1954
Reciprocated Vertex Pair Ratio : 0.0176022176022176
Reciprocated Edge Ratio : 0.0345954780713702
Connected Components : 2808
Single-Vertex Connected Components : 1278
Maximum Vertices in a Connected Component : 1105
Maximum Edges in a Connected Component : 2321
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.647717
Graph Density : 8.94157846408039E-05
Modularity : 0.623352
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,062 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, 18 September 2020 at 13:20 UTC.
The requested start date was Friday, 18 September 2020 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 13-day, 23-hour, 56-minute period from Friday, 04 September 2020 at 00:02 UTC to Thursday, 17 September 2020 at 23:59 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:
[467] emergency,section [374] medical,center [372] mothers,delivered [371] sterilizing,spanish [371] spanish,speaking [371] speaking,mothers [370] center,systematically [370] systematically,sterilizing [369] angeles,county [369] county,medical Top Word Pairs in Tweet in G1:
[79] emergency,section [78] cesarean,section [69] section,baby [47] section,scar [44] birthed,section [33] having,section [29] born,section [27] birth,section [26] cesarean,delivery [24] during,section Top Word Pairs in Tweet in G2:
[365] angeles,county [365] county,medical [365] medical,center [365] center,systematically [365] systematically,sterilizing [365] sterilizing,spanish [365] spanish,speaking [365] speaking,mothers [365] mothers,delivered [364] xicanarquista,angeles Top Word Pairs in Tweet in G3:
[302] give,section [301] remember,impatient [301] impatient,white [301] white,threatening [301] threatening,give [301] section,tired [301] tired,waiting [301] waiting,told [300] drdooleymd,remember [300] told,co Top Word Pairs in Tweet in G4:
[211] know,firsthand [211] firsthand,unique [211] unique,challenges [211] challenges,being [211] being,pregnant [211] pregnant,worker [211] worker,planned [211] planned,teach [211] teach,class [211] class,before Top Word Pairs in Tweet in G5:
[4] save,life [4] end,pregnancy [4] 21vams21,tomcottonar [3] late,term [3] save,both [3] emergency,section [3] vmstic,heather4amazon [3] major,surgery [3] ephesians2_9,colinmorgan65 [3] colinmorgan65,win86moore Top Word Pairs in Tweet in G6:
[20] emergency,section [12] mariannelevy,section [4] gave,birth [4] natural,birth [4] having,emergency [3] mariannelevy,yes [3] cathywilcox1,mariannelevy [3] blood,clots [3] mariannelevy,first [3] first,time Top Word Pairs in Tweet in G7:
[38] sentedcruz,us_fda [34] emergency,section [11] impatience,intolerance [11] intolerance,pregnant [11] pregnant,#women [11] #women,adding [11] adding,cesarean [11] cesarean,delivery [11] delivery,#mothernotpatient [11] #mothernotpatient,campaign Top Word Pairs in Tweet in G8:
[109] amber,rose [109] rose,isaac [109] isaac,died [109] died,delivering [109] delivering,cesarean [109] cesarean,section [109] section,six [109] six,weeks [109] weeks,before [109] before,due Top Word Pairs in Tweet in G9:
[72] asking,followers [72] followers,prayer [72] prayer,request [72] request,those [72] those,pray [72] pray,niece [72] niece,months [72] months,pregnant [72] pregnant,rd [71] vickyisgrateful,asking Top Word Pairs in Tweet in G10:
[91] cleavon_md,dead [85] renae,byrd [79] dead,32 [79] 32,renae [79] byrd,jacksonville [79] jacksonville,#florida [79] #florida,died [79] died,#covid19 [79] #covid19,coughing [79] coughing,blood Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: