The graph represents a network of 9,045 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, 23 October 2020 at 13:18 UTC.
The requested start date was Friday, 23 October 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 10-day, 21-hour, 7-minute period from Monday, 12 October 2020 at 02:53 UTC to Friday, 23 October 2020 at 00:00 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 : 9045
Unique Edges : 4506
Edges With Duplicates : 9736
Total Edges : 14242
Number of Edge Types : 5
Tweet : 1498
Retweet : 4413
MentionsInRetweet : 4966
Replies to : 1564
Mentions : 1801
Self-Loops : 1533
Reciprocated Vertex Pair Ratio : 0.0162211263950169
Reciprocated Edge Ratio : 0.0319244030136636
Connected Components : 2183
Single-Vertex Connected Components : 1024
Maximum Vertices in a Connected Component : 1933
Maximum Edges in a Connected Component : 4145
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.872494
Graph Density : 9.5730008857868E-05
Modularity : 0.5754
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,045 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, 23 October 2020 at 13:18 UTC.
The requested start date was Friday, 23 October 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 10-day, 21-hour, 7-minute period from Monday, 12 October 2020 at 02:53 UTC to Friday, 23 October 2020 at 00:00 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:
[911] water,birth [907] section,business [906] business,easier [906] easier,faster [906] ve,told [905] booming,section [905] faster,ve [905] told,seen [905] seen,water [904] neosxoul,booming Top Word Pairs in Tweet in G1:
[97] emergency,section [54] cesarean,section [40] having,section [31] section,baby [25] section,scar [25] give,birth [23] born,section [22] delivered,section [21] cesarean,delivery [21] #90dayfiance,#90dayfiancetheotherway Top Word Pairs in Tweet in G2:
[902] water,birth [901] section,business [901] business,easier [900] booming,section [900] easier,faster [900] faster,ve [900] ve,told [900] told,seen [900] seen,water [899] neosxoul,booming Top Word Pairs in Tweet in G3:
[446] plan,going [446] going,ahead [446] ahead,trial [446] trial,normal [446] normal,delivery [446] delivery,time [446] time,hell [446] hell,bent [446] bent,getting [446] getting,section Top Word Pairs in Tweet in G4:
[392] imma,section [392] section,baby [392] baby,nothing [392] nothing,bout [392] bout,pussy [391] dre4mluvr,imma Top Word Pairs in Tweet in G5:
[384] anatomy,cesarean [376] medic_cosity,anatomy [6] medical_healths,anatomy [5] rare,video [5] video,cesarean [5] cesarean,section [5] section,newborn [5] newborn,still [5] still,inside [5] inside,amniotic Top Word Pairs in Tweet in G6:
[311] scar,isn [310] isn,section [310] section,actually [310] actually,drug [310] drug,smuggle [310] smuggle,gone [310] gone,wrong [309] ash_kaashh,scar [71] ash_kaashh,section [68] section,baby Top Word Pairs in Tweet in G7:
[106] cleavon_md,realdonaldtrump [90] months,pregnant [86] realdonaldtrump,dead [63] dead,30 [63] 30,30 [63] 30,andrea [63] andrea,circle [63] circle,bear [63] bear,months [63] pregnant,locked Top Word Pairs in Tweet in G8:
[75] missouri,woman [75] woman,given [75] given,birth [75] birth,two [75] two,weeks [75] weeks,hotly [75] hotly,contested [75] contested,arrest [75] arrest,wherein [75] wherein,cop Top Word Pairs in Tweet in G9:
[5] heather4amazon,coxeanne [5] coxeanne,sunsarataylor [5] sunsarataylor,johncusack [5] johncusack,refusefascism [3] birth,section [2] mary_mary901,jmuilisntonsite [2] jmuilisntonsite,feloneouscat [2] feloneouscat,lisawinslow [2] lisawinslow,maqart55 [2] maqart55,jojoalligator Top Word Pairs in Tweet in G10:
[59] minimizing,surgical [59] surgical,blood [59] blood,loss [59] loss,cesarean [59] cesarean,hysterectomy [59] hysterectomy,placenta [59] placenta,previa [59] previa,evidence [59] evidence,placenta [59] placenta,increta Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: