The graph represents a network of 9,126 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, 25 September 2020 at 13:19 UTC.
The requested start date was Friday, 25 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, 45-minute period from Friday, 11 September 2020 at 00:02 UTC to Thursday, 24 September 2020 at 23:48 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 : 9126
Unique Edges : 5747
Edges With Duplicates : 7256
Total Edges : 13003
Number of Edge Types : 5
Mentions : 2294
Replies to : 2023
Retweet : 3228
MentionsInRetweet : 3747
Tweet : 1711
Self-Loops : 1764
Reciprocated Vertex Pair Ratio : 0.016832339297548
Reciprocated Edge Ratio : 0.0331074035453598
Connected Components : 2580
Single-Vertex Connected Components : 1135
Maximum Vertices in a Connected Component : 913
Maximum Edges in a Connected Component : 1921
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.18788
Graph Density : 9.21287665228656E-05
Modularity : 0.631571
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,126 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, 25 September 2020 at 13:19 UTC.
The requested start date was Friday, 25 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, 45-minute period from Friday, 11 September 2020 at 00:02 UTC to Thursday, 24 September 2020 at 23:48 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:
[425] being,pregnant [419] know,firsthand [419] firsthand,unique [419] unique,challenges [419] challenges,being [419] pregnant,worker [419] worker,planned [419] planned,teach [419] teach,class [419] class,before Top Word Pairs in Tweet in G1:
[87] emergency,section [84] cesarean,section [55] section,scar [53] section,baby [32] having,section [31] cesarean,delivery [29] give,birth [27] born,section [25] birth,section [21] vaginal,birth Top Word Pairs in Tweet in G2:
[414] know,firsthand [414] firsthand,unique [414] unique,challenges [414] challenges,being [414] being,pregnant [414] pregnant,worker [414] worker,planned [414] planned,teach [414] teach,class [414] class,before Top Word Pairs in Tweet in G3:
[367] angeles,county [367] county,medical [367] medical,center [367] center,systematically [367] systematically,sterilizing [367] sterilizing,spanish [367] spanish,speaking [367] speaking,mothers [367] mothers,delivered [366] xicanarquista,angeles Top Word Pairs in Tweet in G4:
[304] give,section [303] remember,impatient [303] impatient,white [303] white,threatening [303] threatening,give [303] section,tired [303] tired,waiting [303] waiting,told [302] drdooleymd,remember [302] told,co Top Word Pairs in Tweet in G5:
[16] coollady42,nicole_cliffe [14] emergency,section [10] nicole_cliffe,section [9] nope,recovering [9] recovering,section [9] section,mac [9] mac,cheese [9] cheese,palliative [9] palliative,grandpa [9] grandpa,dying Top Word Pairs in Tweet in G6:
[9] collinsforga,realdonaldtrump [7] full,term [6] term,abortion [5] late,term [5] emergency,section [3] born,section [3] ephesians2_9,colinmorgan65 [3] colinmorgan65,win86moore [3] win86moore,tomcottonar [3] medically,necessary Top Word Pairs in Tweet in G7:
[7] emergency,section [7] cut,open [5] take,never [5] never,pregnant [5] pregnant,tell [5] tell,section [5] section,baby [5] baby,mom [5] mom,cut [5] open,order Top Word Pairs in Tweet in G8:
[19] emergency,section [12] mariannelevy,section [4] natural,birth [4] cathywilcox1,mariannelevy [4] having,emergency [3] gave,birth [3] mariannelevy,yes [3] blood,clots [3] mariannelevy,first [3] first,time Top Word Pairs in Tweet in G9:
[18] sharing,ministry [12] insurance,cost [12] self,pay [11] vaginal,delivery [11] delivery,insurance [11] cost,000 [11] 000,cesarean [11] cesarean,delivery [11] delivery,sharing [11] ministry,cost Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: