The graph represents a network of 8,055 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, 21 January 2022 at 14:20 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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 13-day, 23-hour, 56-minute period from Friday, 07 January 2022 at 01:04 UTC to Friday, 21 January 2022 at 01:00 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 : 8055
Unique Edges : 4863
Edges With Duplicates : 7227
Total Edges : 12090
Number of Edge Types : 5
Tweet : 1511
Retweet : 3111
MentionsInRetweet : 3613
Replies to : 1594
Mentions : 2261
Self-Loops : 1526
Reciprocated Vertex Pair Ratio : 0.0164882846398612
Reciprocated Edge Ratio : 0.0324416619237336
Connected Components : 2280
Single-Vertex Connected Components : 998
Maximum Vertices in a Connected Component : 1043
Maximum Edges in a Connected Component : 2110
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.711434
Graph Density : 0.000108331456646531
Modularity : 0.61681
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,055 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, 21 January 2022 at 14:20 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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 13-day, 23-hour, 56-minute period from Friday, 07 January 2022 at 01:04 UTC to Friday, 21 January 2022 at 01:00 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:
[718] pregnant,vaccinated [717] 27,40 [717] 40,pregnant [717] vaccinated,cousin [717] cousin,admitted [717] admitted,icu [717] icu,preemptively [717] preemptively,consenting [717] consenting,section [716] christiankunde,27 Top Word Pairs in Tweet in G1:
[102] cesarean,section [101] emergency,section [38] section,scar [29] having,section [24] raven,gates [23] cesarean,delivery [20] give,birth [19] born,section [19] vaginal,birth [19] section,day Top Word Pairs in Tweet in G2:
[711] 27,40 [711] 40,pregnant [711] pregnant,vaccinated [711] vaccinated,cousin [711] cousin,admitted [711] admitted,icu [711] icu,preemptively [711] preemptively,consenting [711] consenting,section [710] christiankunde,27 Top Word Pairs in Tweet in G3:
[250] nurse,anyone [250] anyone,wondering [250] wondering,scheduled [250] scheduled,section [250] section,delayed [250] delayed,hours [250] hours,bc [250] bc,people [249] shesinscrubs,nurse [3] shesinscrubs,madmadmadmadrn Top Word Pairs in Tweet in G4:
[10] bumpstockbarbie,wesleygl357sig [10] iwanttotalk_now,rsrap4 [10] rsrap4,magda999992 [10] magda999992,e2hd7a [10] e2hd7a,kwsmith1701 [10] kwsmith1701,ahrehead [10] ahrehead,bitterclingerpa [10] bitterclingerpa,rockapplewood [10] aprettyleaf,spuruse [10] spuruse,16po Top Word Pairs in Tweet in G5:
[154] outcome,1st [154] 1st,section [154] section,baby's [154] baby's,expressions [154] expressions,'muje [154] 'muje,kyu [154] kyu,nikala' [154] nikala',mashaallah [154] mashaallah,baby [153] fleurzb7,outcome Top Word Pairs in Tweet in G6:
[139] pregnant,19 [139] 19,section [139] section,20 [139] 20,dropped [139] dropped,law [139] law,school [139] school,jobless [139] jobless,whole [139] whole,series [139] series,tears Top Word Pairs in Tweet in G7:
[42] pregnant,became [42] emergent,section [36] mo,pregnant [36] pregnant,nurse [36] nurse,megan [36] megan,sites [36] sites,27 [36] 27,required [36] required,ecmo [36] ecmo,emergent Top Word Pairs in Tweet in G8:
[134] hello,ma'am [134] ma'am,cesarean [134] cesarean,delivery [134] delivery,very [134] very,normal [134] normal,make [134] make,less [134] less,woman [134] woman,devil's [134] devil's,doing Top Word Pairs in Tweet in G9:
[116] #tigray,forces [116] forces,mersa [116] mersa,amhara [116] amhara,demonstrated [116] demonstrated,ethical [116] ethical,professional [116] professional,public [116] public,service [116] service,treating [116] treating,patients Top Word Pairs in Tweet in G10:
[4] ghanaboypharmd,iv [4] iv,tylenol [4] tylenol,section [4] section,sent [4] sent,home [4] home,bottle [4] bottle,tylenol [4] tylenol,oh [4] ledgemd,crash [4] crash,section Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: