The graph represents a network of 9,220 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, 07 August 2020 at 13:09 UTC.
The requested start date was Friday, 07 August 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 11-day, 21-hour, 15-minute period from Saturday, 25 July 2020 at 11:02 UTC to Thursday, 06 August 2020 at 08:18 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 : 9220
Unique Edges : 5014
Edges With Duplicates : 9344
Total Edges : 14358
Number of Edge Types : 5
Tweet : 1587
Retweet : 4187
MentionsInRetweet : 4653
Replies to : 1709
Mentions : 2222
Self-Loops : 1618
Reciprocated Vertex Pair Ratio : 0.0185766285929459
Reciprocated Edge Ratio : 0.0364756623536661
Connected Components : 2292
Single-Vertex Connected Components : 1032
Maximum Vertices in a Connected Component : 1497
Maximum Edges in a Connected Component : 3012
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.586062
Graph Density : 9.54715092545599E-05
Modularity : 0.59467
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,220 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, 07 August 2020 at 13:09 UTC.
The requested start date was Friday, 07 August 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 11-day, 21-hour, 15-minute period from Saturday, 25 July 2020 at 11:02 UTC to Thursday, 06 August 2020 at 08:18 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:
[882] 19,section [881] section,20 [880] back,school [879] pregnant,19 [879] 20,dropped [879] dropped,law [879] law,school [879] school,jobless [879] jobless,whole [879] whole,series Top Word Pairs in Tweet in G1:
[73] emergency,section [60] section,scar [48] cesarean,section [30] having,section [24] section,baby [21] born,section [18] cesarean,delivery [16] giving,birth [16] vaginal,birth [16] #c,section Top Word Pairs in Tweet in G2:
[877] 19,section [877] section,20 [876] pregnant,19 [876] 20,dropped [876] dropped,law [876] law,school [876] school,jobless [876] jobless,whole [876] whole,series [876] series,tears Top Word Pairs in Tweet in G3:
[407] remember,sister [407] sister,section [407] section,take [407] take,water [407] water,visit [407] visit,bath [407] bath,use [407] use,toilet [406] extraaudrey1,remember [406] toilet,becaus Top Word Pairs in Tweet in G4:
[8] philosophyseel,chenziean [8] ppercussionist,bynamerose [8] bynamerose,maestra_momma [8] maestra_momma,asouthernpenny [8] asouthernpenny,decisionuterus [8] decisionuterus,deepdownimnot [8] momoascrunchie,mrspinkston85 [8] mrspinkston85,dp21316899 [8] dp21316899,mouthym0m [8] vixen95trish,ladyfey12 Top Word Pairs in Tweet in G5:
[194] sweet,fucking [194] fucking,lucifer [194] lucifer,look [194] look,tomi [194] tomi,lahren [194] lahren,talk [194] talk,pussification [194] pussification,men [194] men,rich [194] rich,considering Top Word Pairs in Tweet in G6:
[44] easy,man [43] section,girl [43] girl,easy [42] puemalol,section [28] ve,watched [28] watched,section [28] section,close [28] close,cuz [28] cuz,blood [28] blood,guts Top Word Pairs in Tweet in G7:
[152] nigerian,surgeon [152] surgeon,once [152] once,cut [152] cut,baby [152] baby,mother's [152] mother's,womb [152] womb,23 [152] 23,weeks [152] weeks,removed [152] removed,large Top Word Pairs in Tweet in G8:
[147] résidents,pratiquant [147] pratiquant,césarienne [147] césarienne,urgence [147] urgence,noir [147] noir,rezidan [147] rezidan,ap [147] ap,fè [147] fè,sezaryèn [147] sezaryèn,ijans [147] ijans,nan Top Word Pairs in Tweet in G9:
[93] cesarean,section [86] advising,friend [86] friend,need [86] need,save [86] save,money [86] money,cesarean [86] section,wife [86] wife,pregnant [86] pregnant,friend [85] drlilyluv,advising Top Word Pairs in Tweet in G10:
[98] 28,lakh [98] private,hospitals [97] excessive,section [97] section,28 [97] lakh,sections [97] sections,private [97] hospitals,forced [97] forced,people [97] people,spend [97] spend,rs Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: