The graph represents a network of 8,286 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 Saturday, 07 November 2020 at 14:32 UTC.
The requested start date was Friday, 06 November 2020 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 5-day, 10-hour, 45-minute period from Saturday, 31 October 2020 at 13:59 UTC to Friday, 06 November 2020 at 00:45 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 : 8286
Unique Edges : 1777
Edges With Duplicates : 12711
Total Edges : 14488
Number of Edge Types : 5
Retweet : 6297
MentionsInRetweet : 6385
Tweet : 595
Replies to : 616
Mentions : 595
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.00319106501794974
Reciprocated Edge Ratio : 0.00636182902584493
Connected Components : 958
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 5430
Maximum Edges in a Connected Component : 10859
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.026883
Graph Density : 0.00010990610129628
Modularity : 0.399579
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,286 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 Saturday, 07 November 2020 at 14:32 UTC.
The requested start date was Friday, 06 November 2020 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 5-day, 10-hour, 45-minute period from Saturday, 31 October 2020 at 13:59 UTC to Friday, 06 November 2020 at 00:45 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:
[5598] born,section [5545] call,birthday [5544] birthday,nah [5536] nah,bro [5535] bro,ur [5534] ur,release [5534] release,date [5524] section,nerve [5524] nerve,call [5513] mfs,born Top Word Pairs in Tweet in G1:
[5388] mfs,born [5388] born,section [5388] section,nerve [5388] nerve,call [5388] call,birthday [5388] birthday,nah [5388] nah,bro [5388] bro,ur [5388] ur,release [5388] release,date Top Word Pairs in Tweet in G2:
[42] emergency,section [34] born,section [27] release,date [25] cesarean,section [22] section,nerve [22] nerve,call [22] call,birthday [21] birthday,nah [18] nah,bro [18] ur,release Top Word Pairs in Tweet in G3:
[184] uganda,funny [184] funny,mummy [184] mummy,died [184] died,section [184] section,complications [184] complications,government [184] government,guts [184] guts,died [183] evelyn_nakayi,uganda Top Word Pairs in Tweet in G4:
[138] sharon,renee [138] renee,carroll [138] carroll,44yo [138] 44yo,occupational [138] occupational,therapist [138] therapist,huntington [138] huntington,wv [138] wv,died [138] died,#covid19 [138] #covid19,10 Top Word Pairs in Tweet in G5:
[15] emergency,section [7] water,broke [6] mminsc2,section [5] back,labor [4] hours,labor [3] first,section [3] mminsc2,emergency [3] 36,hours [3] section,epidural [3] having,section Top Word Pairs in Tweet in G6:
[6] mollyjongfast,jimmykimmel [6] jimmykimmel,tanvim [6] emergency,section [4] having,section [4] section,before [4] jimmykimmel,phyll_indablank [4] jimmykimmel,section [3] much,worse [3] section,much [3] micheleone_elle,mollyjongfast Top Word Pairs in Tweet in G7:
[2] bearlykat,pickpear [2] pickpear,firehorsep [2] firehorsep,stephenold [2] stephenold,dissentra [2] dissentra,bleufrenchbird [2] bleufrenchbird,hill_hillbill [2] bellabean2,vja1999 [2] vja1999,maldensaboteur [2] maldensaboteur,rachel5742 [2] rachel5742,neilpollyticks Top Word Pairs in Tweet in G8:
[2] murali76133156,indianrajeshnco [2] indianrajeshnco,prasad_perla [2] prasad_perla,savitritvs [2] savitritvs,drbosch3 [2] drbosch3,satishrathod100 [2] satishrathod100,oberoizorawar [2] oberoizorawar,priyakhi2 Top Word Pairs in Tweet in G9:
[9] months,pregnant [8] died,#covid [8] emergent,section [7] cleavon_md,dead [7] dead,35 [7] 35,aurora [7] aurora,duran [7] duran,minneapolis [7] minneapolis,mother [7] mother,months Top Word Pairs in Tweet in G10:
[40] mfs,born [40] born,section [40] section,nerve [40] nerve,call [40] call,birthday [40] birthday,nah [40] nah,bro [40] bro,ur [40] ur,release [40] release,date Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G2:
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: