The graph represents a network of 2,662 Twitter users whose recent tweets contained "23andMe", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 14 May 2019 at 14:02 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 19-minute period from Sunday, 05 May 2019 at 03:36 UTC to Tuesday, 14 May 2019 at 13:55 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 : 2662
Unique Edges : 3326
Edges With Duplicates : 938
Total Edges : 4264
Self-Loops : 668
Reciprocated Vertex Pair Ratio : 0.0208824520040418
Reciprocated Edge Ratio : 0.0409105905641702
Connected Components : 719
Single-Vertex Connected Components : 436
Maximum Vertices in a Connected Component : 1227
Maximum Edges in a Connected Component : 2826
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.188324
Graph Density : 0.00042789086086672
Modularity : 0.608335
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[176] ceo,youtube [175] ceo,23andme [167] susan,ceo [166] youtube,anne [166] 23andme,janet [165] anne,ceo [163] imagine,raise [163] raise,three [163] three,daughters [163] daughters,become Top Word Pairs in Tweet in G1:
[70] sale,plus [68] nintendo,switch [68] switch,sale [68] plus,deals [68] deals,dyson [68] dyson,v7 [68] v7,23andme [68] 23andme,aerogarden [68] aerogarden,amd [68] amd,ryzen Top Word Pairs in Tweet in G2:
[163] susan,ceo [163] ceo,youtube [163] youtube,anne [163] anne,ceo [163] ceo,23andme [163] 23andme,janet [162] imagine,raise [162] raise,three [162] three,daughters [162] daughters,become Top Word Pairs in Tweet in G3:
[94] 23andme,ancestry [49] hva,det [48] 1,jeg [48] jeg,ble [48] ble,helt [48] helt,sjokkert [48] sjokkert,da [48] da,jeg [48] jeg,fant [48] fant,ut Top Word Pairs in Tweet in G4:
[100] mother's,day [50] whole,point [50] point,mother's [49] hey,23andme [49] 23andme,saw [49] saw,mother's [49] day,ad [49] ad,whole [49] day,here [48] gilmoreglenda,hey Top Word Pairs in Tweet in G5:
[2] lactose,tolerant [2] tolerant,23andme [2] 23andme,promethease [2] promethease,72 [2] 72,years [2] years,never Top Word Pairs in Tweet in G6:
[7] medical,grade [6] a3,wish [6] wish,people [6] people,understood [6] understood,#directtoconsumer [6] #directtoconsumer,#genetictesting [6] #genetictesting,accurate [6] accurate,medical [6] grade,#genetictests [5] dnapodcast,a3 Top Word Pairs in Tweet in G7:
[25] limit,number [25] number,kids [25] kids,per [25] per,donor [25] donor,usual [25] usual,rationale [25] rationale,prevent [25] prevent,accidental [25] accidental,incest [25] incest,odds Top Word Pairs in Tweet in G8:
[37] black,people [36] last,few [36] few,months [36] months,backrd [36] backrd,african [36] african,city [36] city,23andme [36] 23andme,black [36] people,business [36] business,helps Top Word Pairs in Tweet in G9:
[67] send,dna [67] dna,23andme [33] broke,send [33] 23andme,deanonymizing [33] deanonymizing,relatives [33] relatives,descendants [33] descendants,woke [33] woke,don [33] don,t [33] t,send Top Word Pairs in Tweet in G10:
[11] doc,san [11] san,fran [11] fran,faces [11] faces,legal [11] legal,trouble [11] trouble,basing [11] basing,med [11] med,exemptions [11] exemptions,vaccinations [11] vaccinations,23andme Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: