The graph represents a network of 5,456 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 Sunday, 22 March 2020 at 16:01 UTC.
The requested start date was Sunday, 22 March 2020 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, 8-hour, 30-minute period from Tuesday, 17 March 2020 at 15:27 UTC to Saturday, 21 March 2020 at 23:58 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 : 5456
Unique Edges : 5009
Edges With Duplicates : 729
Total Edges : 5738
Number of Edge Types : 4
Tweet : 2814
Replies to : 969
MentionsInRetweet : 1375
Mentions : 580
Self-Loops : 2814
Reciprocated Vertex Pair Ratio : 0.0341409691629956
Reciprocated Edge Ratio : 0.0660276890308839
Connected Components : 3062
Single-Vertex Connected Components : 2034
Maximum Vertices in a Connected Component : 195
Maximum Edges in a Connected Component : 364
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.028796
Graph Density : 9.46493706169647E-05
Modularity : 0.655986
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,456 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 Sunday, 22 March 2020 at 16:01 UTC.
The requested start date was Sunday, 22 March 2020 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, 8-hour, 30-minute period from Tuesday, 17 March 2020 at 15:27 UTC to Saturday, 21 March 2020 at 23:58 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[332] kombucha,girl [100] drink,kombucha [91] drinking,kombucha [86] brittany,broski [81] girl,drag [80] drag,transformation [79] transformation,brittany [75] buying,kombucha [68] panic,buying [63] make,kombucha Top Word Pairs in Tweet in G1:
[113] kombucha,girl [63] drinking,kombucha [51] drink,kombucha [30] hard,kombucha [29] make,kombucha [26] bottle,kombucha [25] mint,kombucha [24] lemon,lime [22] love,kombucha [22] lime,mint Top Word Pairs in Tweet in G2:
[16] immune,system [14] one,minute [7] minute,anger [7] anger,weakens [7] weakens,immune [7] system,hours [7] hours,one [7] minute,laughter [7] laughter,boosts [7] boosts,immune Top Word Pairs in Tweet in G3:
[81] kombucha,girl [77] brittany,broski [75] girl,drag [75] drag,transformation [75] transformation,brittany [59] broski,youtube [49] trixiemattel,kombucha [16] good,morning [16] morning,uk [16] uk,friend Top Word Pairs in Tweet in G4:
[60] one,panic [60] panic,buying [60] buying,kombucha [59] ozkitsch,one [2] ozkitsch,kombucha Top Word Pairs in Tweet in G5:
[44] bbc,trave [44] trave,東洋発の健康食品 [44] 東洋発の健康食品,いわゆるスーパーフード [44] いわゆるスーパーフード,的なものとして新たに甘酒に目を付けてる [44] 的なものとして新たに甘酒に目を付けてる,洋の東西を問わず健康食ファンは伝統的発酵食品に弱い [44] 洋の東西を問わず健康食ファンは伝統的発酵食品に弱い,それにしても [43] kyukimasa,bbc [43] それにしても,kombucha Top Word Pairs in Tweet in G6:
[36] fucking,vegan [36] vegan,stables [36] stables,gone [36] gone,rice [36] rice,beans [36] beans,bread [36] bread,chips [36] chips,oat [36] oat,milk [36] milk,kombucha Top Word Pairs in Tweet in G7:
[28] leariellesimone,foods [20] foods,keep [20] keep,body [20] body,mind [20] mind,strong [20] strong,almonds [20] almonds,avocado [20] avocado,beans [20] beans,berries [20] berries,cashews Top Word Pairs in Tweet in G8:
[27] jackieaina,think [27] think,symbiotic [27] symbiotic,culture [27] culture,exists [27] exists,within [27] within,healthade [27] healthade,kombucha [27] kombucha,key [27] key,curing [27] curing,bad Top Word Pairs in Tweet in G9:
[28] tweet,aging [28] aging,jug [28] jug,kombucha [28] kombucha,left [28] left,under [28] under,sink [27] davidpaulk,tweet Top Word Pairs in Tweet in G10:
[5] baeonda,love [4] baeonda,kombucha [3] love,kombucha [2] baeonda,lmao [2] lmao,terrible [2] terrible,way [2] way,hydrate [2] hydrate,kombucha [2] kombucha,contains [2] contains,caffeine Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: