The graph represents a network of 5,693 Twitter users whose recent tweets contained "ecig OR vape", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 20:24 UTC.
The tweets in the network were tweeted over the 1441-day, 6-hour, 41-minute period from Thursday, 04 April 2019 at 17:18 UTC to Thursday, 16 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5693
Unique Edges : 2346
Edges With Duplicates : 8125
Total Edges : 10471
Number of Edge Types : 9
Tweet : 1655
Retweet : 2933
MentionsInRetweet : 3161
Quote : 191
Replies to : 1000
MentionsInReplyTo : 1279
Mentions : 175
MentionsInQuoteReply : 2
MentionsInQuote : 75
Self-Loops : 1828
Reciprocated Vertex Pair Ratio : 0.0435362061306086
Reciprocated Edge Ratio : 0.0834397616006811
Connected Components : 1683
Single-Vertex Connected Components : 955
Maximum Vertices in a Connected Component : 1360
Maximum Edges in a Connected Component : 2716
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 2.962139
Graph Density : 0.000144979613360541
Modularity : 0.485631
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,693 Twitter users whose recent tweets contained "ecig OR vape", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 20:24 UTC.
The tweets in the network were tweeted over the 1441-day, 6-hour, 41-minute period from Thursday, 04 April 2019 at 17:18 UTC to Thursday, 16 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : ecig OR vape
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:
[1277] fumar,vape [1195] vape,peor [1191] están,creyendo [1191] creyendo,nada [1191] peor,fumar [1191] fumar,cigarrillo [1191] cigarrillo,ahí [1191] ahí,están [1189] jploayza94,fumar [116] hit,vape Top Word Pairs in Tweet in G1:
[1193] fumar,vape [1189] creyendo,nada [1189] ahí,están [1189] fumar,cigarrillo [1189] peor,fumar [1189] están,creyendo [1189] vape,peor [1189] cigarrillo,ahí [1188] jploayza94,fumar [3] daño,cigarro Top Word Pairs in Tweet in G2:
[112] gen,cake [39] cake,bars [34] ll,send [34] vape,ll [33] hella,content [33] send,hella [33] content,nico_robinsh [33] need,20 [33] 20,vape [32] #cranky,#buyingcontent Top Word Pairs in Tweet in G3:
[54] see,jungkook [54] need,see [54] hit,vape [54] idc,need [54] jungkook,hit [53] virgojimi,idc [48] elf,bar [44] vape,squad [43] coming,elf [43] addition,vape Top Word Pairs in Tweet in G4:
[55] fumar,vape [55] vape,jungkook [54] tenes,fumar [54] hombre,tenes [54] cigarrillo,hombre [53] bititroleo,cigarrillo [38] vantaes7ic,vape [37] live,jungkook [37] vape,live [37] mueren,gordas Top Word Pairs in Tweet in G5:
[34] vape,tá [34] percebendo,vape [34] jungkook,percebendo [34] apenas,jeon [34] ao,fuen [34] fuen,fuon [34] jeon,jungkook [34] tá,aparecendo [34] aparecendo,ao [34] fuen,fuen Top Word Pairs in Tweet in G6:
[22] おまかせリキッド2本,抽選で2名様に [22] 応募方法,フォロー [22] 応募期間,3月19日23 [22] oxva,origin [22] フォロープレゼント,oxva [22] mini,kit [22] 3月19日23,59 [22] 応募資格,成人の方 [22] 成人の方,vape経験者 [22] 抽選で2名様に,応募方法 Top Word Pairs in Tweet in G7:
[59] poem,vape [58] whatinthedsm5,poem [19] during,sex [19] ur,vape [19] sex,hit [19] hit,ur [18] synthdaddie,during [5] haunted,house [5] house,fog [5] fog,machine Top Word Pairs in Tweet in G8:
[12] public,health [11] asthmafndation,rnzcgp [11] health,success [11] #vaping,huge [11] zealand,pushback [11] huge,public [11] pushback,asthmafndation [11] success,zealand [11] rnzcgp,raises [10] colinmendelsohn,#vaping Top Word Pairs in Tweet in G9:
[63] invent,ibuprofen [63] ibuprofen,vape [62] hateshack,invent Top Word Pairs in Tweet in G10:
[40] vape,miojo [40] miojo,cachaça [40] cachaça,esse [40] esse,mano [38] ta,fazendo [38] fazendo,faculdade [38] mano,ta [37] akutagaiwa,vape [5] universitário,usp [5] semana,alimentar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: