The graph represents a network of 6,609 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 Sunday, 11 August 2019 at 17:45 UTC.
The requested start date was Sunday, 11 August 2019 at 00:01 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 13-day, 8-hour, 32-minute period from Sunday, 28 July 2019 at 15:25 UTC to Saturday, 10 August 2019 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 : 6609
Unique Edges : 6556
Edges With Duplicates : 1426
Total Edges : 7982
Number of Edge Types : 3
Replies to : 1166
Mentions : 5490
Tweet : 1326
Self-Loops : 1326
Reciprocated Vertex Pair Ratio : 0.0253098271949729
Reciprocated Edge Ratio : 0.0493701055498808
Connected Components : 1855
Single-Vertex Connected Components : 870
Maximum Vertices in a Connected Component : 1142
Maximum Edges in a Connected Component : 1319
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.551319
Graph Density : 0.000134501818453595
Modularity : 0.759663
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3984] c,section [3905] à,à [1453] emergency,c [1063] don,t [1036] t,know [1009] brain,tumor [1008] jennispangler1,emergency [1008] section,husband [1008] husband,s [1008] s,insulin Top Word Pairs in Tweet in G1:
[994] c,section [993] emergency,c [992] jennispangler1,emergency [992] s,insulin [992] s,brain [992] brain,tumor [992] s,scarlet [992] scarlet,fever [992] t,know [992] d,dead Top Word Pairs in Tweet in G2:
[831] c,section [403] à,à [90] emergency,c [90] ðÿ,ðÿ [48] cesarean,section [34] section,scar [33] having,c [29] iâ,m [23] birth,c [22] donâ,t Top Word Pairs in Tweet in G3:
[57] c,section [16] dp06869322,sam_deloach [12] lillybear,christielea [12] abloomfield1971,lloomer80 [12] kstraniere,godisgood1836 [12] aristotelico384,sam_deloach [12] downeyangel,dtomatx [12] williamsa2431,stevenwc_ [12] stevenwc_,frankmarro [12] frankmarro,pro_life_ancap Top Word Pairs in Tweet in G4:
[91] c,section [32] disasterballet,brittmchenry [32] two,births [31] brittmchenry,two [31] full,term [30] two,full [30] term,pregnancies [30] pregnancies,monthly [30] monthly,biweekly [30] biweekly,ob Top Word Pairs in Tweet in G5:
[113] c,section [111] emergency,c [96] dads,18 [96] 18,year [96] year,battle [96] battle,cancer [96] cancer,very [96] very,end [96] end,done [96] done,more Top Word Pairs in Tweet in G6:
[28] enhanced,recovery [25] cesarean,delivery [20] cesarean,section [17] better,late [17] late,never [17] never,obstetricians [17] obstetricians,implement [17] implement,enhanced [17] recovery,cesarean [16] induction,labor Top Word Pairs in Tweet in G7:
[6] c,section [4] handmaiden61,oohlalarouge1 [4] oohlalarouge1,miowse22734721 [4] miowse22734721,springbrad1 [4] springbrad1,sandie31815899 [4] sandie31815899,royalfanforever [4] royalfanforever,marklesammy64 [4] marklesammy64,hillshypno [4] hillshypno,kitkat2cats [4] kitkat2cats,jenniewrennnn Top Word Pairs in Tweet in G8:
[3182] à,à [240] à,ˆà [240] ˆà,à [120] à,µà [119] n,à [118] µà,ˆà [118] œ,à [64] miscarriage,n [64] stillbirth,n [60] à,œ Top Word Pairs in Tweet in G9:
[63] multi,day [63] day,hospital [62] time,see [62] see,someone [62] someone,defend [62] defend,private [62] private,insurance [62] insurance,saying [62] saying,yeah [62] yeah,pay Top Word Pairs in Tweet in G10:
[16] mom,take [16] take,decision [16] decision,herself [16] herself,child [16] child,losing [16] losing,mothers [16] mothers,everyday [16] everyday,due [15] incisionsomland,mom [14] c,section Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: