The graph represents a network of 5,209 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:39 UTC.
The tweets in the network were tweeted over the 3486-day, 11-hour, 7-minute period from Friday, 23 August 2013 at 13:24 UTC to Saturday, 11 March 2023 at 00:31 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 : 5209
Unique Edges : 3515
Edges With Duplicates : 7766
Total Edges : 11281
Number of Edge Types : 9
Replies to : 1046
MentionsInReplyTo : 1717
Tweet : 1850
Retweet : 2173
MentionsInRetweet : 3127
Quote : 273
Mentions : 932
MentionsInQuote : 135
MentionsInQuoteReply : 28
Self-Loops : 2357
Reciprocated Vertex Pair Ratio : 0.0427406917823309
Reciprocated Edge Ratio : 0.0819776040566237
Connected Components : 1868
Single-Vertex Connected Components : 1014
Maximum Vertices in a Connected Component : 1171
Maximum Edges in a Connected Component : 4785
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.344254
Graph Density : 0.000174466147595781
Modularity : 0.463754
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,209 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:39 UTC.
The tweets in the network were tweeted over the 3486-day, 11-hour, 7-minute period from Friday, 23 August 2013 at 13:24 UTC to Saturday, 11 March 2023 at 00:31 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:
[270] dylan,o'brien [224] try,save [224] o'brien,try [224] save,fly [224] fly,fail [224] watch,dylan [224] fail,#notokay [223] ew,watch [96] multiple,times [94] back,school Top Word Pairs in Tweet in G1:
[47] zoey,deutch [28] #notokay,#notokaymovie [23] watching,#notokay [21] social,media [21] #notokaymovie,#notokay [18] mia,isaac [17] dylan,o'brien [15] watched,#notokay [13] okay,2022 [13] shirt,shop Top Word Pairs in Tweet in G2:
[228] 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 [65] letterboxd,#notokay [41] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[82] #notokay,#nokb [70] #nokb,#notokay [60] not_okaybears,#notokay [39] #notokay,not_okaybears [38] okay,#notokay [35] okay,okay [32] not_okaybears,0xhustler [28] 0xhustler,not_okaybears [28] day,not_okaybears [27] not_okaybears,#nokb Top Word Pairs in Tweet in G4:
[43] #notokay,movie [41] gives,unlikable [41] black,trauma [41] movie,uniquely [41] redemption,arc [41] protagonist,redemption [41] unlikable,white [41] portrays,black [41] trauma,gives [41] uniquely,portrays 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:
[28] bell,bellmediapr [14] #mentalhealth,#ptsd [13] 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 G7:
[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 G8:
[90] #sharpstick,#notokay [90] #bodiesbodiesbodies,#sharpstick [86] hollywood,courting [86] gen,movies [86] courting,gen [86] movies,#bodiesbodiesbodies [84] latimes,hollywood [76] #notokay,directors [76] directors,stars [75] stars,tal Top Word Pairs in Tweet in G9:
[26] mmeenaakshii,#vpd [25] riot',pne [25] over,last [25] last,nights [25] outrage,public [25] hearing,lots [25] nights,'mini [25] concert,cancelled [25] pne,concert [25] public,over Top Word Pairs in Tweet in G10:
[12] okay,bears [4] okay,okay [4] doesn,give [4] amendment,doesn [3] one,right [3] right,anything [3] give,one [3] honestly,okay [3] bears,okay [3] bears,honestly 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 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: