The graph represents a network of 7,578 Twitter users whose tweets in the requested range contained "ecig OR vape", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 21:07 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 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 2-day, 6-hour, 12-minute period from Monday, 28 November 2022 at 07:07 UTC to Wednesday, 30 November 2022 at 13:20 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 : 7578
Unique Edges : 3863
Edges With Duplicates : 8860
Total Edges : 12723
Number of Edge Types : 5
Mentions : 1047
Retweet : 3578
MentionsInRetweet : 3859
Tweet : 2917
Replies to : 1322
Self-Loops : 2962
Reciprocated Vertex Pair Ratio : 0.0272693997071742
Reciprocated Edge Ratio : 0.053091038660253
Connected Components : 2607
Single-Vertex Connected Components : 1675
Maximum Vertices in a Connected Component : 942
Maximum Edges in a Connected Component : 2257
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.312472
Graph Density : 9.77559395223554E-05
Modularity : 0.503025
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,578 Twitter users whose tweets in the requested range contained "ecig OR vape", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 21:07 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 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 2-day, 6-hour, 12-minute period from Monday, 28 November 2022 at 07:07 UTC to Wednesday, 30 November 2022 at 13:20 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 : 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:
[912] merokok,vape [909] kedai,makan [909] menteri,kesihatan [907] kompaun,merokok [907] vape,dekat [907] dekat,kedai [907] kesihatan,mohon [907] pun,menteri [907] makan,kuatkuasa [907] kuatkuasa,habis Top Word Pairs in Tweet in G1:
[46] vape,ko [38] disposable,vape [33] hit,vape [33] หร,ไฟฟ [30] ng,vape [27] vape,pen [25] vape,shop [24] ไฟฟ,า [19] #質問箱,#匿名質問募集中 [18] ำยาบ,หร Top Word Pairs in Tweet in G2:
[905] menteri,kesihatan [905] habis,habisan [905] vape,dekat [905] dekat,kedai [905] kesihatan,mohon [905] siapa,pun [905] makan,kuatkuasa [905] pun,menteri [905] kuatkuasa,habis [905] merokok,vape Top Word Pairs in Tweet in G3:
[244] trust,issues [243] vape,addiction [243] girls,vape [243] pretty,girls [243] addiction,trust [242] syhnner,pretty [11] quedas,comer [11] vape,200 [11] toda,semana [11] comer,toda Top Word Pairs in Tweet in G4:
[239] fresh,air [238] outside,fresh [238] go,outside [238] niggas,go [238] air,vape [237] upblissed,niggas [2] man,quit [2] immediately,reach [2] cherry,vape [2] mmmm,vape Top Word Pairs in Tweet in G5:
[23] #vape,#ecig [13] cigarette,électronique [13] sevrage,tabagique [11] disposable,vape [10] mata,millones [10] remedio,#vape [10] millones,fumadores [10] par,veneno [10] convierten,asociaciones [10] news,27 Top Word Pairs in Tweet in G6:
[224] wish,vape [223] vape,mcdouble [223] kloogans,wish [3] kloogans,fuckedupfoods Top Word Pairs in Tweet in G7:
[74] หร,ไฟฟ [58] #บ,หร [56] ไฟฟ,า [41] ไลน,id [41] id,001yhnjn [41] 001yhnjn,#บ [41] ท,ด [41] างน,ไลน [41] ด,านล [41] านล,างน Top Word Pairs in Tweet in G8:
[107] 6500回,吸える使い捨てvape [107] 吸える使い捨てvape,vplus [106] vplus,1本 [106] #吸うフルーツスティック,6500回 [106] 1本,合計10名様 [106] vplus,発売記念としてプレゼントキャンペーンを本日より開催 [106] 合計10名様,応募条件 [106] 応募条件,フォロー [106] #プレゼントキャンペーン,#吸うフルーツスティック [106] 発売記念としてプレゼントキャンペーンを本日より開催,景品 Top Word Pairs in Tweet in G9:
[170] re,laughing [85] vape,re [85] find,vape [85] laughing,find [84] meaghankpg_,re Top Word Pairs in Tweet in G10:
[84] plushie,lmao [84] bed,plushie [84] having,vape [84] next,bed [84] vape,next [83] bloodtopsy,having 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: