The graph represents a network of 5,094 Twitter users whose recent tweets contained "#notokay", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3458-day, 9-hour, 56-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 10 February 2023 at 23:20 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5094
Unique Edges : 3558
Edges With Duplicates : 7702
Total Edges : 11260
Number of Edge Types : 9
Replies to : 962
MentionsInReplyTo : 1565
Tweet : 1825
Retweet : 2234
MentionsInRetweet : 3337
Quote : 266
Mentions : 924
MentionsInQuote : 126
MentionsInQuoteReply : 21
Self-Loops : 2309
Reciprocated Vertex Pair Ratio : 0.0403191030616645
Reciprocated Edge Ratio : 0.0775129533678756
Connected Components : 1815
Single-Vertex Connected Components : 1009
Maximum Vertices in a Connected Component : 778
Maximum Edges in a Connected Component : 2982
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.903718
Graph Density : 0.000185979339449182
Modularity : 0.470663
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,094 Twitter users whose recent tweets contained "#notokay", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3458-day, 9-hour, 56-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 10 February 2023 at 23:20 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #notokay
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:
[269] dylan,o'brien [221] o'brien,try [221] save,fly [221] fly,fail [221] try,save [221] watch,dylan [221] fail,#notokay [220] ew,watch [103] zoey,deutch [95] multiple,times Top Word Pairs in Tweet in G1:
[48] zoey,deutch [29] #notokay,#notokaymovie [26] watching,#notokay [22] social,media [22] #notokaymovie,#notokay [19] mia,isaac [14] movie,#notokay [14] watched,#notokay [14] dylan,o'brien [13] shirt,shop Top Word Pairs in Tweet in G2:
[230] dylan,o'brien [220] fail,#notokay [220] save,fly [220] fly,fail [220] try,save [220] o'brien,try [220] watch,dylan [219] ew,watch [64] letterboxd,#notokay [41] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[86] #notokay,#nokb [60] not_okaybears,#notokay [52] #nokb,#notokay [46] not_okaybears,0xhustler [39] okay,okay [38] okay,#notokay [38] #notokay,not_okaybears [28] not_okaybears,#nokb [28] 0xhustler,not_okaybears [28] day,not_okaybears Top Word Pairs in Tweet in G4:
[62] #notokay,movie [60] redemption,arc [57] uniquely,portrays [57] portrays,black [57] unlikable,white [57] protagonist,redemption [57] white,protagonist [57] black,trauma [57] gives,unlikable [57] movie,uniquely Top Word Pairs in Tweet in G5:
[93] family,multiple [93] school,mean [93] back,school [93] sad,back [93] multiple,times [93] covid,reinfection [93] mean,covid [93] reinfection,family [93] parent,sad [92] times,scho Top Word Pairs in Tweet in G6:
[86] bdsm,bears [85] gross,trying [85] using,children [85] re,really [85] bears,gross [85] really,using [85] children,pose [85] #balenciaga,wth [85] wth,re [85] pose,bdsm Top Word Pairs in Tweet in G7:
[89] #sharpstick,#notokay [89] #bodiesbodiesbodies,#sharpstick [85] gen,movies [85] movies,#bodiesbodiesbodies [85] hollywood,courting [85] courting,gen [83] latimes,hollywood [75] directors,stars [75] #notokay,directors [74] stars,tal Top Word Pairs in Tweet in G8:
[26] bell,bellmediapr [13] bellmediapr,bell_letstalk [13] #mentalhealth,#ptsd [12] milf,seriously [12] name,degrading [12] #shameontlc,#nomorals [12] #demeaning,#lostaviewer [12] shocked,disgusting [12] degrading,milf [12] idea,needs Top Word Pairs in Tweet in G9:
[54] worried,christmas [54] sflecce,told [54] osbcucscso,sflecce [54] save,money [54] christmas,ten [54] money,instead [54] being,worried [54] told,tonight [54] instead,being [54] tonight,save Top Word Pairs in Tweet in G10:
[28] lfg,jumped [28] chair,sight [28] designicalart,lfg [28] beauty,#notokay [28] sight,beauty [28] outta,chair [28] jumped,outta [28] infectedmob,designicalart [27] kingkeex,infectedmob [6] rasc_wtf,#notokay Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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: