The graph represents a network of 8,037 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, 02 August 2020 at 13:33 UTC.
The requested start date was Sunday, 02 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 55-minute period from Sunday, 26 July 2020 at 13:04 UTC to Sunday, 02 August 2020 at 00:00 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 : 8037
Unique Edges : 4223
Edges With Duplicates : 7477
Total Edges : 11700
Number of Edge Types : 5
Replies to : 1265
Tweet : 2972
Retweet : 3335
MentionsInRetweet : 3496
Mentions : 632
Self-Loops : 2992
Reciprocated Vertex Pair Ratio : 0.024931291715744
Reciprocated Edge Ratio : 0.0486496839685884
Connected Components : 3228
Single-Vertex Connected Components : 1990
Maximum Vertices in a Connected Component : 2139
Maximum Edges in a Connected Component : 4441
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.571052
Graph Density : 8.08387885967668E-05
Modularity : 0.527756
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,037 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, 02 August 2020 at 13:33 UTC.
The requested start date was Sunday, 02 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 55-minute period from Sunday, 26 July 2020 at 13:04 UTC to Sunday, 02 August 2020 at 00:00 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:
[1002] pop,culture [1001] same,logic [1001] logic,nb [1001] nb,people [1001] people,justify [1001] justify,saying [1001] saying,nigga [1001] nigga,bc [1001] bc,song [1001] song,reducing Top Word Pairs in Tweet in G1:
[182] kombucha,girl [62] drink,kombucha [61] drinking,kombucha [50] kombucha,cleanse [49] クレンズ,kombucha [49] cleanse,アーリーサンライズ [49] アーリーサンライズ,early [49] hard,kombucha [48] early,sunrise [41] コンブチャ,クレンズ Top Word Pairs in Tweet in G2:
[990] same,logic [990] logic,nb [990] nb,people [990] people,justify [990] justify,saying [990] saying,nigga [990] nigga,bc [990] bc,song [990] song,reducing [990] reducing,everything Top Word Pairs in Tweet in G3:
[531] matter,hard [531] hard,life [531] life,gets [531] gets,drinking [531] drinking,damn [531] damn,kombucha [530] icedoutomnitrix,matter [2] gay,asf [2] asf,man [2] man,drink Top Word Pairs in Tweet in G4:
[252] small,amounts [126] kombucha,contains [126] contains,small [126] amounts,alcohol [126] alcohol,small [126] amounts,caffeine [126] caffeine,making [126] making,arguably [126] arguably,diet [126] diet,four Top Word Pairs in Tweet in G5:
[136] kombucha,girl [110] white,non [110] non,black [110] black,friends [110] friends,please [110] please,kombucha [110] girl,mislead [110] mislead,chile [110] chile,sis [110] sis,period Top Word Pairs in Tweet in G6:
[105] kombucha,girl [101] girl,immediately [101] immediately,created [101] created,twitter [101] twitter,account [100] joepgould,kombucha [5] sat,drank [5] drank,kombucha [4] f0lake,same [4] same,logic Top Word Pairs in Tweet in G7:
[10] latest,mothertobaby [10] mothertobaby,#podcast [8] #pregnancy,#breastfeeding [7] during,#pregnancy [6] brewing,#kombucha [6] #kombucha,whole [6] whole,#community [6] #community,#heath [6] #heath,#wellness [6] #wellness,people Top Word Pairs in Tweet in G8:
[5] kombucha,girl [4] enneagram,joke [4] people,unmarked [4] unmarked,vans [4] time,stop [3] need,bird [3] tik,tok [3] black,lives [3] lives,matter [3] makes,uncomfortable Top Word Pairs in Tweet in G9:
[46] appreciate,white [45] slitmyclitt,appreciate [45] white,allies [45] allies,sometimes [45] sometimes,overstep [45] overstep,boundaries [45] boundaries,ms [45] ms,kombucha [45] kombucha,stumbling [44] cupid_reject,slitmyclitt Top Word Pairs in Tweet in G10:
[8] kombucha_kw33n,inceltears20 [7] jordanbvideos,kombucha_kw33n [3] thinking,turned [3] turned,22 [3] lt,lt [2] extremely,proud [2] proud,laura [2] laura,everything [2] everything,accomplished [2] accomplished,past Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: