The graph represents a network of 5,233 Twitter users whose tweets in the requested range contained "Kombucha", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 14:54 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 15-hour, 12-minute period from Tuesday, 29 October 2019 at 08:47 UTC to Saturday, 02 November 2019 at 23:59 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 : 5233
Unique Edges : 5106
Edges With Duplicates : 879
Total Edges : 5985
Number of Edge Types : 3
Tweet : 2399
Replies to : 699
Mentions : 2887
Self-Loops : 2399
Reciprocated Vertex Pair Ratio : 0.0244639081848384
Reciprocated Edge Ratio : 0.0477594339622642
Connected Components : 2468
Single-Vertex Connected Components : 1600
Maximum Vertices in a Connected Component : 773
Maximum Edges in a Connected Component : 1094
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.285585
Graph Density : 0.000123890319666244
Modularity : 0.674252
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,233 Twitter users whose tweets in the requested range contained "Kombucha", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 14:54 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 15-hour, 12-minute period from Tuesday, 29 October 2019 at 08:47 UTC to Saturday, 02 November 2019 at 23:59 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 : Kombucha
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[867] kombucha,girl [362] girl,halloween [354] go,kombucha [348] halloween,please [348] please,send [348] send,tag [348] tag,show [348] show,nana [348] nana,grampa [347] brittany_broski,go Top Word Pairs in Tweet in G1:
[163] kombucha,girl [49] drinking,kombucha [35] drink,kombucha [32] don,t [24] gt,gt [22] コンブチャ,kombucha [21] first,time [18] kombucha,tap [18] winnetka,bowling [18] bowling,league Top Word Pairs in Tweet in G2:
[399] kombucha,girl [359] girl,halloween [346] go,kombucha [346] halloween,please [346] please,send [346] send,tag [346] tag,show [346] show,nana [346] nana,grampa [345] brittany_broski,go Top Word Pairs in Tweet in G3:
[33] love,#kombucha [33] #kombucha,sure [33] sure,love [33] love,leftfieldbuch [33] leftfieldbuch,kombucha [33] kombucha,favourite [33] favourite,4 [33] 4,#darjeeling [23] #darjeeling,refined [23] refined,vine Top Word Pairs in Tweet in G4:
[88] 今日は,#紅茶の日 [88] #紅茶の日,だぜぇ [88] だぜぇ,ベイベー達 [88] ベイベー達,紅茶キノコの存在を知ってるかぁ [88] 紅茶キノコの存在を知ってるかぁ,東モンゴル発祥の [88] 東モンゴル発祥の,健康飲料だぜぇ [88] 健康飲料だぜぇ,海外ではkombuchaとセレブの間でも有名なんだぜぇ [88] 海外ではkombuchaとセレブの間でも有名なんだぜぇ,#きのこたけのこ国民総選挙 [88] #きのこたけのこ国民総選挙,#きのこの山 [87] kinoko_meiji,今日は Top Word Pairs in Tweet in G5:
[86] sorry,junmyeon [86] junmyeon,kombucha [86] kombucha,style [86] style,aesthetic [86] aesthetic,tho [86] tho,weareoneexo [86] weareoneexo,#mamavote [86] #mamavote,#exo [85] yep4andy,sorry Top Word Pairs in Tweet in G6:
[79] kombucha,girl [76] girl,continues [76] continues,make [76] make,excellent [76] excellent,tiktoks [74] buzzfeednews,kombucha [4] time,james [4] james,baldwin [4] baldwin,tried [4] tried,kombucha Top Word Pairs in Tweet in G7:
[45] entice,kombucha [45] kombucha,surprise [45] surprise,eat [45] eat,first [44] sadafies,entice Top Word Pairs in Tweet in G8:
[35] whatever,warren [35] warren,kombucha [35] kombucha,klobuchar [35] klobuchar,cup [35] cup,joe [35] joe,joe [35] joe,#medicareforall [35] #medicareforall,bernie [34] badjohnbrown,whatever Top Word Pairs in Tweet in G9:
[4] world,series [2] preview,next [2] next,sixers [2] sixers,timberwolves [2] timberwolves,game [2] police,officer [2] officer,lying [2] lying,face [2] uk,argue [2] argue,over Top Word Pairs in Tweet in G10:
[28] encourage,#education [28] #education,workers [28] workers,now [28] now,owe [28] owe,1 [28] 1,5 [28] 5,trillion [28] trillion,student [28] student,loans [28] loans,more Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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: