The graph represents a network of 5,075 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 11:39 UTC.
The tweets in the network were tweeted over the 3430-day, 9-hour, 7-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 13 January 2023 at 22:31 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 : 5075
Unique Edges : 3519
Edges With Duplicates : 7731
Total Edges : 11250
Number of Edge Types : 9
Retweet : 2321
MentionsInRetweet : 3453
Replies to : 926
MentionsInReplyTo : 1503
Tweet : 1774
Quote : 246
Mentions : 902
MentionsInQuote : 108
MentionsInQuoteReply : 17
Self-Loops : 2235
Reciprocated Vertex Pair Ratio : 0.0405549626467449
Reciprocated Edge Ratio : 0.077948717948718
Connected Components : 1772
Single-Vertex Connected Components : 1003
Maximum Vertices in a Connected Component : 884
Maximum Edges in a Connected Component : 2843
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.043952
Graph Density : 0.000189316344699434
Modularity : 0.472777
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,075 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 11:39 UTC.
The tweets in the network were tweeted over the 3430-day, 9-hour, 7-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 13 January 2023 at 22:31 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:
[294] dylan,o'brien [224] o'brien,try [224] save,fly [224] fly,fail [224] try,save [224] watch,dylan [224] fail,#notokay [223] ew,watch [119] #notokaymovie,#notokay [111] zoey,deutch Top Word Pairs in Tweet in G1:
[53] zoey,deutch [35] #notokay,#notokaymovie [31] watching,#notokay [28] social,media [26] #notokaymovie,#notokay [25] mia,isaac [17] dylan,o'brien [15] movie,#notokay [15] watched,#notokay [13] shirt,shop Top Word Pairs in Tweet in G2:
[252] dylan,o'brien [223] fail,#notokay [223] save,fly [223] fly,fail [223] try,save [223] o'brien,try [223] watch,dylan [222] ew,watch [64] letterboxd,#notokay [41] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[92] #notokay,#nokb [54] #nokb,#notokay [48] not_okaybears,0xhustler [46] not_okaybears,#notokay [39] #notokay,not_okaybears [39] okay,#notokay [37] okay,okay [31] not_okaybears,#nokb [28] 0xhustler,not_okaybears [28] not_okaybears,okay Top Word Pairs in Tweet in G4:
[72] #notokay,movie [71] redemption,arc [68] gives,unlikable [68] black,trauma [68] movie,uniquely [68] protagonist,redemption [68] unlikable,white [68] portrays,black [68] trauma,gives [68] uniquely,portrays Top Word Pairs in Tweet in G5:
[93] mean,covid [93] parent,sad [93] back,school [93] multiple,times [93] school,mean [93] reinfection,family [93] family,multiple [93] covid,reinfection [93] sad,back [92] times,scho Top Word Pairs in Tweet in G6:
[87] bdsm,bears [86] gross,trying [86] using,children [86] re,really [86] bears,gross [86] really,using [86] children,pose [86] #balenciaga,wth [86] wth,re [86] pose,bdsm Top Word Pairs in Tweet in G7:
[91] #bodiesbodiesbodies,#sharpstick [91] #sharpstick,#notokay [87] hollywood,courting [87] courting,gen [87] gen,movies [87] movies,#bodiesbodiesbodies [85] latimes,hollywood [77] directors,stars [77] #notokay,directors [76] stars,tal Top Word Pairs in Tweet in G8:
[22] bell,bellmediapr [13] #mentalhealth,#ptsd [11] terminated,due [10] bellmediapr,bell_letstalk [9] 55th,birthday [9] long,term [8] term,employee [7] due,#mentalhealth [7] #ceo,#mirkobibic [7] #notokay,#truthwins 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: