The graph represents a network of 5,079 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3451-day, 8-hour, 22-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 03 February 2023 at 21:46 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 : 5079
Unique Edges : 3548
Edges With Duplicates : 7648
Total Edges : 11196
Number of Edge Types : 9
Retweet : 2263
MentionsInRetweet : 3363
Replies to : 932
MentionsInReplyTo : 1510
Tweet : 1803
Quote : 254
Mentions : 918
MentionsInQuote : 132
MentionsInQuoteReply : 21
Self-Loops : 2266
Reciprocated Vertex Pair Ratio : 0.0402930402930403
Reciprocated Edge Ratio : 0.0774647887323944
Connected Components : 1795
Single-Vertex Connected Components : 1003
Maximum Vertices in a Connected Component : 817
Maximum Edges in a Connected Component : 2770
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.855908
Graph Density : 0.000187195908427856
Modularity : 0.472733
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,079 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:40 UTC.
The tweets in the network were tweeted over the 3451-day, 8-hour, 22-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 03 February 2023 at 21:46 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:
[283] dylan,o'brien [220] o'brien,try [220] save,fly [220] fly,fail [220] try,save [220] watch,dylan [220] fail,#notokay [219] ew,watch [107] zoey,deutch [105] #notokaymovie,#notokay Top Word Pairs in Tweet in G1:
[50] zoey,deutch [31] #notokay,#notokaymovie [28] watching,#notokay [24] social,media [24] #notokaymovie,#notokay [21] mia,isaac [15] dylan,o'brien [14] movie,#notokay [13] shirt,shop [12] #notokaybears,#notokaytoday Top Word Pairs in Tweet in G2:
[246] dylan,o'brien [219] fail,#notokay [219] save,fly [219] fly,fail [219] try,save [219] o'brien,try [219] watch,dylan [218] ew,watch [64] letterboxd,#notokay [41] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[88] #notokay,#nokb [57] not_okaybears,#notokay [54] #nokb,#notokay [46] not_okaybears,0xhustler [38] #notokay,not_okaybears [38] okay,#notokay [35] okay,okay [28] not_okaybears,#nokb [28] 0xhustler,not_okaybears [27] day,not_okaybears Top Word Pairs in Tweet in G4:
[66] #notokay,movie [64] redemption,arc [61] gives,unlikable [61] black,trauma [61] movie,uniquely [61] protagonist,redemption [61] unlikable,white [61] portrays,black [61] trauma,gives [61] 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:
[85] bdsm,bears [84] gross,trying [84] re,really [84] #balenciaga,wth [84] using,children [84] children,pose [84] wth,re [84] bears,gross [84] pose,bdsm [84] really,using 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:
[26] bell,bellmediapr [13] bellmediapr,bell_letstalk [13] #mentalhealth,#ptsd [12] idea,needs [12] name,degrading [12] revolting,poor [12] #demeaning,#lostaviewer [12] milf,seriously [12] #boycotttlc,#disturbing [12] #shameontlc,#nomorals 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 G7:
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: