The graph represents a network of 5,731 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 Saturday, 30 November 2019 at 04:58 UTC.
The requested start date was Saturday, 30 November 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 6-day, 4-hour, 16-minute period from Saturday, 23 November 2019 at 05:24 UTC to Friday, 29 November 2019 at 09:40 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 : 5731
Unique Edges : 5871
Edges With Duplicates : 996
Total Edges : 6867
Number of Edge Types : 3
Mentions : 5196
Tweet : 957
Replies to : 714
Self-Loops : 957
Reciprocated Vertex Pair Ratio : 0.0127303819114573
Reciprocated Edge Ratio : 0.025140712945591
Connected Components : 1286
Single-Vertex Connected Components : 666
Maximum Vertices in a Connected Component : 2057
Maximum Edges in a Connected Component : 2205
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.277671
Graph Density : 0.000162308841751315
Modularity : 0.739809
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,731 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 Saturday, 30 November 2019 at 04:58 UTC.
The requested start date was Saturday, 30 November 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 6-day, 4-hour, 16-minute period from Saturday, 23 November 2019 at 05:24 UTC to Friday, 29 November 2019 at 09:40 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:
[1942] early,cesarean [1929] cesarean,birth [1925] during,pregnancy [1921] went,labour [1920] found,during [1920] pregnancy,boyfriend [1920] boyfriend,married [1920] married,went [1920] labour,early [1919] reenewills,found Top Word Pairs in Tweet in G1:
[1915] found,during [1915] during,pregnancy [1915] pregnancy,boyfriend [1915] boyfriend,married [1915] married,went [1915] went,labour [1915] labour,early [1915] early,cesarean [1915] cesarean,birth [1914] reenewills,found Top Word Pairs in Tweet in G2:
[108] emergency,section [72] baby,born [64] needed,emergency [63] section,remove [62] born,'pregnant' [60] sibling,needed [59] 'pregnant',sibling [25] section,scar [25] cesarean,section [16] having,section Top Word Pairs in Tweet in G3:
[148] hanna_jameson,meadwaj [148] meadwaj,pregnant [148] pregnant,woman [148] woman,without [148] without,insurance [148] insurance,needing [148] needing,emergency [148] emergency,section [148] section,choice [148] choice,accept Top Word Pairs in Tweet in G4:
[11] sam_deloach,happywife151 [11] happywife151,ppact [9] izzidabell,truth_thumper [9] izzidabell,pixelprotectors [9] pixelprotectors,musiklpn [9] musiklpn,remnantpodfan [9] remnantpodfan,pro_life_ancap [9] pro_life_ancap,terriplayshere [9] terriplayshere,lilmotherhooker [9] lilmotherhooker,firegoddessb Top Word Pairs in Tweet in G5:
[57] rn_atheist,ellejkaye [57] due,date [52] ellejkaye,earthdogelevena [52] earthdogelevena,doc [52] doc,decided [52] decided,induce [52] induce,labour [52] labour,cuz [52] cuz,weeks [52] weeks,past Top Word Pairs in Tweet in G6:
[39] effect,delayed [39] delayed,vs [39] vs,immediate [39] immediate,umbilical [39] umbilical,cord [39] cord,clamping [39] clamping,maternal [39] maternal,blood [39] blood,loss [39] loss,term Top Word Pairs in Tweet in G7:
[76] dogs,trouble [76] trouble,breathing [76] breathing,moving [76] moving,mating [76] mating,due [76] due,being [76] being,inbred [76] inbred,more [76] more,90 [76] 90,delivered Top Word Pairs in Tweet in G8:
[42] section,rates [21] low,section [15] emergency,section [11] try,department [11] department,wide [11] wide,ethic [10] yesterday,trust [10] trust,claimed [10] claimed,emergency [10] rates,within Top Word Pairs in Tweet in G9:
[20] opioid,use [14] time,first [12] safe,humane [12] humane,section [12] section,adequate [12] adequate,anesthesia [12] anesthesia,analgesia [12] analgesia,one [12] one,world [12] world,significant Top Word Pairs in Tweet in G10:
[72] medical,centre [65] normal,vaginal [52] centre,maternity [52] maternity,package [52] package,normal [51] cesarean,section [38] normal,delivery [38] vaginal,rm [34] cesarean,delivery [32] 3d2n,single Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: