The graph represents a network of 6,033 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, 20 January 2019 at 03:13 UTC.
The requested start date was Sunday, 20 January 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 8-day, 6-hour, 32-minute period from Friday, 11 January 2019 at 17:22 UTC to Saturday, 19 January 2019 at 23:55 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 : 6033
Unique Edges : 6843
Edges With Duplicates : 1147
Total Edges : 7990
Number of Edge Types : 3
Mentions : 5863
Replies to : 810
Tweet : 1317
Self-Loops : 1317
Reciprocated Vertex Pair Ratio : 0.0141997995322419
Reciprocated Edge Ratio : 0.0280019766101137
Connected Components : 1629
Single-Vertex Connected Components : 908
Maximum Vertices in a Connected Component : 1072
Maximum Edges in a Connected Component : 2106
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.294696
Graph Density : 0.000166826705990615
Modularity : 0.760549
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3338] c,section [608] section,c [372] cesarean,section [312] caesarean,section [307] c,s [302] know,enough [302] enough,underwent [302] underwent,caesarean [302] s,advisable [301] trending_medic,know Top Word Pairs in Tweet in G1:
[831] c,section [112] section,scar [88] cesarean,section [67] emergency,c [56] scar,splits [51] brexit,vote [40] delays,c [34] lawmaker,delays [31] intestines,c [31] gives,birth Top Word Pairs in Tweet in G2:
[604] section,c [307] c,section [304] c,s [302] know,enough [302] enough,underwent [302] underwent,caesarean [302] caesarean,section [302] s,advisable [301] trending_medic,know [279] 1,standard Top Word Pairs in Tweet in G3:
[240] c,section [103] having,delay [96] tulipsiddiq,having [94] point,order [92] order,dr_philippaw [92] dr_philippaw,tulipsiddiq [92] delay,urgent [92] urgent,c [92] section,attend [92] attend,tonight's Top Word Pairs in Tweet in G4:
[178] point,order [178] order,mother [178] mother,house [178] house,harrietharman [178] harrietharman,today's [178] today's,standardnews [178] standardnews,story [178] story,tulipsiddiq [177] kateproctores,point [52] proxy,voting Top Word Pairs in Tweet in G5:
[138] c,section [137] delaying,c [128] disgraceful,smear [128] smear,delaying [128] section,ve [128] ve,told [128] told,need [128] need,medical [128] medical,reasons [128] reasons,incredibly Top Word Pairs in Tweet in G6:
[160] 2018,31may [160] 28,sep [160] sep,25 [160] 25,oct [160] protection,9 [159] 31may,3 [159] 3,july [159] july,1 [159] 1,aug [159] aug,28 Top Word Pairs in Tweet in G7:
[133] c,section [121] nine,months [121] months,pregnant [121] pregnant,delayed [121] delayed,medically [121] medically,recommended [121] recommended,c [121] section,birth [121] birth,baby [121] baby,wheeled Top Word Pairs in Tweet in G8:
[99] cesarean,section [87] woman,gives [87] gives,birth [87] birth,sextuplets [87] sextuplets,3 [87] 3,minutes [87] minutes,cesarean [86] pregnancy_video,woman [11] c,section [10] need,know Top Word Pairs in Tweet in G9:
[63] boxer,stacy [63] stacy,gone [63] gone,labor [63] labor,2 [63] 2,hours [63] hours,d [63] d,two [63] two,puppies [63] puppies,ve [63] ve,rushed Top Word Pairs in Tweet in G10:
[81] c,section [74] yes,2019 [74] 2019,fucking [74] fucking,disgrace [74] disgrace,woman [74] woman,mp [74] mp,high [74] high,risk [74] risk,pregnancy [74] pregnancy,delay Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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