The graph represents a network of 5,158 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3465-day, 10-hour, 48-minute period from Friday, 23 August 2013 at 13:24 UTC to Saturday, 18 February 2023 at 00:12 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 : 5158
Unique Edges : 3602
Edges With Duplicates : 7728
Total Edges : 11330
Number of Edge Types : 9
Replies to : 996
MentionsInReplyTo : 1626
Tweet : 1833
Retweet : 2206
MentionsInRetweet : 3303
Quote : 270
Mentions : 944
MentionsInQuote : 128
MentionsInQuoteReply : 24
Self-Loops : 2323
Reciprocated Vertex Pair Ratio : 0.0408294142796067
Reciprocated Edge Ratio : 0.0784555350174574
Connected Components : 1830
Single-Vertex Connected Components : 1005
Maximum Vertices in a Connected Component : 745
Maximum Edges in a Connected Component : 3050
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.991404
Graph Density : 0.000183046447782364
Modularity : 0.472014
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,158 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3465-day, 10-hour, 48-minute period from Friday, 23 August 2013 at 13:24 UTC to Saturday, 18 February 2023 at 00:12 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:
[270] dylan,o'brien [222] o'brien,try [222] save,fly [222] fly,fail [222] try,save [222] watch,dylan [222] fail,#notokay [221] ew,watch [100] zoey,deutch [96] multiple,times Top Word Pairs in Tweet in G1:
[48] zoey,deutch [29] #notokay,#notokaymovie [27] watching,#notokay [22] social,media [22] #notokaymovie,#notokay [19] mia,isaac [16] dylan,o'brien [13] movie,#notokay [13] watched,#notokay [13] shirt,shop Top Word Pairs in Tweet in G2:
[227] dylan,o'brien [221] fail,#notokay [221] save,fly [221] fly,fail [221] try,save [221] o'brien,try [221] watch,dylan [220] ew,watch [64] letterboxd,#notokay [40] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[85] #notokay,#nokb [60] not_okaybears,#notokay [53] #nokb,#notokay [46] not_okaybears,0xhustler [39] #notokay,not_okaybears [38] okay,#notokay [36] okay,okay [28] not_okaybears,#nokb [28] 0xhustler,not_okaybears [28] day,not_okaybears Top Word Pairs in Tweet in G4:
[55] #notokay,movie [53] gives,unlikable [53] black,trauma [53] movie,uniquely [53] redemption,arc [53] protagonist,redemption [53] unlikable,white [53] portrays,black [53] trauma,gives [53] uniquely,portrays Top Word Pairs in Tweet in G5:
[93] multiple,times [93] parent,sad [93] reinfection,family [93] family,multiple [93] mean,covid [93] covid,reinfection [93] school,mean [93] back,school [93] sad,back [92] lcwf_tbk,parent 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] hollywood,courting [85] movies,#bodiesbodiesbodies [85] courting,gen [83] latimes,hollywood [75] #notokay,directors [75] directors,stars [74] stars,tal Top Word Pairs in Tweet in G8:
[29] bell,bellmediapr [14] #mentalhealth,#ptsd [14] bellmediapr,bell_letstalk [12] #disturbing,#notokay [12] shocked,disgusting [12] milf,seriously [12] #lostaviewer,#boycottmilfmanor [12] poor,taste [12] disgusting,revolting [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: