The graph represents a network of 6,306 Twitter users whose tweets in the requested range contained "#notokay", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 10:39 UTC.
The requested start date was Saturday, 15 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 86-day, 13-hour, 44-minute period from Wednesday, 20 July 2022 at 00:32 UTC to Friday, 14 October 2022 at 14:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 6306
Unique Edges : 4208
Edges With Duplicates : 10169
Total Edges : 14377
Number of Edge Types : 5
Retweet : 4182
MentionsInRetweet : 6023
Tweet : 2251
Mentions : 1336
Replies to : 585
Self-Loops : 2335
Reciprocated Vertex Pair Ratio : 0.0170186901686674
Reciprocated Edge Ratio : 0.0334678021813835
Connected Components : 1979
Single-Vertex Connected Components : 1393
Maximum Vertices in a Connected Component : 2528
Maximum Edges in a Connected Component : 7727
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.119687
Graph Density : 0.000168337846739369
Modularity : 0.47491
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 6,306 Twitter users whose tweets in the requested range contained "#notokay", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 10:39 UTC.
The requested start date was Saturday, 15 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 86-day, 13-hour, 44-minute period from Wednesday, 20 July 2022 at 00:32 UTC to Friday, 14 October 2022 at 14:17 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[824] dylan,o'brien [617] zoey,deutch [401] #notokaymovie,#notokay [390] ˆà,ˆà [387] ˆà,µà [386] µà,ªà [239] o'brien,try [239] save,fly [239] fly,fail [239] try,save Top Word Pairs in Tweet in G1:
[155] ø,ø [133] ø,ù [118] ù,ø [96] zoey,deutch [93] ù,ù [59] #notokay,#notokaymovie [51] î,î [49] #notokaymovie,#notokay [46] watching,#notokay [40] mia,isaac Top Word Pairs in Tweet in G2:
[173] zoeydeutch,dylanobrien [167] dylan,o'brien [116] streaming,hulu [111] notokayfilm,streaming [109] letterboxd,notokayfilm [105] make,feel [105] dylanobrien,tell [105] feel,okay [104] four,movies [104] movies,make Top Word Pairs in Tweet in G3:
[260] zoey,deutch [207] dylan,o'brien [186] deutch,#notokay [186] #notokay,press [185] filmupdates,zoey [136] aback,influencers [136] ve,always [136] discusses,character [136] o'brien,discusses [136] taken,aback Top Word Pairs in Tweet in G4:
[226] #notokaymovie,#notokay [108] avril,lavigne [108] lavigne,called [83] speak,#notokaymovie [83] actually,much [83] much,sexier [81] #notokay,movie [75] œan,oldieâ [75] movie,uniquely [75] protagonist,redemption Top Word Pairs in Tweet in G5:
[83] #notokay,#nokb [64] #nokb,#notokay [55] not_okaybears,0xhustler [39] okay,#notokay [34] #notokay,not_okaybears [28] 0xhustler,not_okaybears [27] okay,bears [26] not_okaybears,#notokay [25] #nokb,#notokaybears [25] bear,follow Top Word Pairs in Tweet in G6:
[251] dylan,o'brien [192] fail,#notokay [192] fly,fail [192] try,save [192] o'brien,try [192] watch,dylan [192] save,fly [191] ew,watch [41] #dylanobrien,#notokay [30] o'brien,interview Top Word Pairs in Tweet in G7:
[390] ˆà,ˆà [387] ˆà,µà [386] µà,ªà [209] addpalm,#notokay [195] ˆà,šà [195] šà,ˆà [194] µà,ˆà [193] ˆà,µ [193] ªà,ƒà [193] žà,µà Top Word Pairs in Tweet in G8:
[78] dylan,o'brien [58] previouslyfilmx,#notokaymovie [35] zoey,deutch [35] lanza,nuevo [35] hulu,lanza [34] quería,influencer [34] salió,mal [34] nuevo,trailer [34] mal,hulu [34] atención,quería Top Word Pairs in Tweet in G9:
[96] mean,covid [96] parent,sad [96] back,school [96] multiple,times [96] school,mean [96] reinfection,family [96] family,multiple [96] canâ,parent [96] covid,reinfection [96] sad,back Top Word Pairs in Tweet in G10:
[101] #sharpstick,#notokay [101] #bodiesbodiesbodies,#sharpstick [96] hollywood,courting [96] gen,movies [96] courting,gen [96] movies,#bodiesbodiesbodies [94] latimes,hollywood [85] #notokay,directors [85] directors,stars [84] stars,tal Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
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: