The graph represents a network of 8,397 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, 17 September 2021 at 13:19 UTC.
The requested start date was Friday, 17 September 2021 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 7-day, 12-hour, 17-minute period from Thursday, 09 September 2021 at 11:37 UTC to Thursday, 16 September 2021 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 : 8397
Unique Edges : 3083
Edges With Duplicates : 12051
Total Edges : 15134
Number of Edge Types : 5
Retweet : 5594
MentionsInRetweet : 6160
Replies to : 948
Tweet : 870
Mentions : 1562
Self-Loops : 901
Reciprocated Vertex Pair Ratio : 0.0116770186335404
Reciprocated Edge Ratio : 0.0230844793713163
Connected Components : 1353
Single-Vertex Connected Components : 586
Maximum Vertices in a Connected Component : 4032
Maximum Edges in a Connected Component : 8779
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.730598
Graph Density : 0.000115515744608759
Modularity : 0.521755
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,397 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, 17 September 2021 at 13:19 UTC.
The requested start date was Friday, 17 September 2021 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 7-day, 12-hour, 17-minute period from Thursday, 09 September 2021 at 11:37 UTC to Thursday, 16 September 2021 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".
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:
[2268] baby,born [2243] mom,dad [2242] kids,orphaned [2242] orphaned,both [2242] both,mom [2242] dad,age [2242] age,37 [2242] 37,39 [2242] #covid19,weeks [2236] weeks,apart Top Word Pairs in Tweet in G1:
[2123] heartbreaking,kids [2123] kids,orphaned [2123] orphaned,both [2123] both,mom [2123] mom,dad [2123] dad,age [2123] age,37 [2123] 37,39 [2123] 39,dies [2123] dies,#covid19 Top Word Pairs in Tweet in G2:
[682] covid,19 [670] pregnant,women [661] died,covid [615] four,weeks [570] ashtonpittman,mississippi [554] women,died [553] mississippi,eight [553] past,four [501] eight,pregnant [501] over,past Top Word Pairs in Tweet in G3:
[49] emergency,section [47] cesarean,section [17] born,section [16] section,scar [15] having,section [15] cesarean,delivery [15] baby,born [14] section,hospital [14] section,recovery [13] scheduled,section Top Word Pairs in Tweet in G4:
[394] emergency,section [393] consider,unvaccinated [393] unvaccinated,pregnant [393] pregnant,developed [393] developed,symptoms [393] symptoms,emergency [393] section,performed [392] claudetteggibs1,consider [392] performed,wa [15] drericding,heartbreaking Top Word Pairs in Tweet in G5:
[315] private,hospitals [315] hospitals,lagos [315] lagos,state [315] state,exploiting [315] exploiting,pregnant [315] pregnant,women [315] women,due [315] due,delivery [315] delivery,lying [314] truthfully83,private Top Word Pairs in Tweet in G6:
[256] #tigray,forces [256] forces,mersa [256] mersa,amhara [256] amhara,demonstrated [256] demonstrated,ethical [256] ethical,professional [256] professional,public [256] public,service [256] service,treating [256] treating,patients Top Word Pairs in Tweet in G7:
[110] lacy,hutchinson [110] hutchinson,33 [110] 33,care [110] care,assistant [110] assistant,broken [110] broken,arrow [110] arrow,ok [110] ok,months [110] months,pregnant [110] pregnant,fell Top Word Pairs in Tweet in G8:
[141] emergency,section [135] jujuliagrace,daughter [135] daughter,gave [135] gave,birth [135] birth,early [135] early,hours [135] hours,morning [135] morning,emergency [135] section,first [134] wellowdriver,jujuliagrace Top Word Pairs in Tweet in G9:
[137] name,yakini [137] yakini,born [137] born,section [137] section,heartbeat [137] heartbeat,barely [137] barely,managed [137] managed,survive [137] survive,birth [137] birth,yakini [137] yakini,21 Top Word Pairs in Tweet in G10:
[9] always,love [9] love,anti [9] anti,choice [9] choice,abortion [9] abortion,unethical [9] unethical,please [9] please,tell [9] tell,ethical [9] ethical,force [9] force,person Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: