The graph represents a network of 3,148 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, 13 June 2020 at 10:49 UTC.
The requested start date was Saturday, 13 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 72-day, 10-hour, 14-minute period from Wednesday, 01 April 2020 at 00:20 UTC to Friday, 12 June 2020 at 10:35 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 : 3148
Unique Edges : 1270
Edges With Duplicates : 3734
Total Edges : 5004
Number of Edge Types : 5
Tweet : 631
Retweet : 1813
MentionsInRetweet : 1921
Mentions : 371
Replies to : 268
Self-Loops : 642
Reciprocated Vertex Pair Ratio : 0.00857492854226215
Reciprocated Edge Ratio : 0.017004048582996
Connected Components : 840
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 358
Maximum Edges in a Connected Component : 821
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.013688
Graph Density : 0.000249324804204323
Modularity : 0.528859
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,148 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, 13 June 2020 at 10:49 UTC.
The requested start date was Saturday, 13 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 72-day, 10-hour, 14-minute period from Wednesday, 01 April 2020 at 00:20 UTC to Friday, 12 June 2020 at 10:35 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 G2:
[7] hrvy,#notokay [5] #beokay,#notokay [4] #notokay,hrvy [4] hrvy,#beokay [4] hrvy,r3hab [4] mv,drew [4] drew,hrvy [3] r3hab,hope [3] hope,thank [3] thank,making Top Word Pairs in Tweet in G3:
[336] societies,#notokay [12] black,#geoscientists [11] #geoscientists,okay [7] okay,hear [6] hear,professional [3] professional,societies [3] hendrattaali,black [3] told,smile [3] smile,look [3] look,professionnal Top Word Pairs in Tweet in G4:
[172] í,ìƒ [171] #hahyunsang,#theedge [171] record,edge [171] edge',2020 [171] 2020,06 [171] 06,08 [170] 08,12 [120] 12,00 [120] 00,kst [120] kst,release Top Word Pairs in Tweet in G5:
[580] everyone,needs [309] needs,see [304] see,welxome [303] welxome,trump's [303] trump's,america [303] america,#michiganprotest [303] #michiganprotest,#trumppressconference [303] #trumppressconference,#thisisamerica [303] deficit_the,everyone [303] #thisisamerica,#protestl Top Word Pairs in Tweet in G6:
[163] two,christian [163] christian,churches [163] churches,one [163] one,san [163] san,diego [163] diego,one [163] one,chicago [163] chicago,asked [162] asked,justices [160] justices,block Top Word Pairs in Tweet in G7:
[122] twitter,thing [122] thing,#blm [122] #blm,#exposed [122] #exposed,#notokay [122] cecilyelizabeth,twitter Top Word Pairs in Tweet in G8:
[75] re,exhausted [75] exhausted,remember [75] remember,things [75] things,normal [74] normal,re [] re,experiencing [] experiencing,disruption [] disruption,grief [] grief,seemingly [] tsthames,re Top Word Pairs in Tweet in G9:
[56] #brentwoodschool,return [56] return,funds [56] funds,stevenmnuchin1 [56] stevenmnuchin1,#notokay [56] tanialoren911,#brentwoodschool [56] #25thamendmentnow,#25thamendmentnow [56] #dirtymoney,#wellsfargosucks [56] #notokay,realdonaldtrump [56] notthesydneya,sheriflanders [55] sheriflanders,wm Top Word Pairs in Tweet in G10:
[5] loss,prevention [5] prevention,officers [5] officers,assaulted [5] assaulted,daily [4] daily,catching [4] catching,shoplifters [3] shoplifters,#lpo [2] #lpo,struck [2] struck,head [2] head,board Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G9:
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: