The graph represents a network of 7,350 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 September 2022 at 20:06 UTC.
The requested start date was Thursday, 01 September 2022 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 2-day, 5-hour, 17-minute period from Monday, 29 August 2022 at 08:02 UTC to Wednesday, 31 August 2022 at 13:19 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 : 7350
Unique Edges : 3558
Edges With Duplicates : 9260
Total Edges : 12818
Number of Edge Types : 5
Retweet : 3791
MentionsInRetweet : 4015
Tweet : 2725
Replies to : 1298
Mentions : 989
Self-Loops : 2749
Reciprocated Vertex Pair Ratio : 0.0263814616755793
Reciprocated Edge Ratio : 0.051406738450851
Connected Components : 2270
Single-Vertex Connected Components : 1424
Maximum Vertices in a Connected Component : 1808
Maximum Edges in a Connected Component : 3657
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.290376
Graph Density : 0.000106599722485266
Modularity : 0.493172
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,350 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 September 2022 at 20:06 UTC.
The requested start date was Thursday, 01 September 2022 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 2-day, 5-hour, 17-minute period from Monday, 29 August 2022 at 08:02 UTC to Wednesday, 31 August 2022 at 13:19 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:
[1646] paru,paru [1406] disposable,pod [1405] tebuk,paru [1403] kawan,aku [1387] kena,tebuk [1386] pod,vape [1381] dalam,masa [1381] masa,bulan [1381] aku,kena [1381] paru,sebabkan Top Word Pairs in Tweet in G1:
[127] 電子タバコ,vape [121] vape,のparfumは [64] vape,pen [46] disposable,vape [28] vape,juice [27] hit,vape [23] vape,shop [21] タールやニコチン０である電子タバコ,vape [21] vape,に注目が集まっています [20] vape,ko Top Word Pairs in Tweet in G2:
[1358] kena,tebuk [1357] dalam,masa [1357] masa,bulan [1357] bulan,kawan [1357] kawan,aku [1357] aku,kena [1357] tebuk,paru [1357] paru,paru [1357] paru,sebabkan [1357] sebabkan,disposable Top Word Pairs in Tweet in G3:
[283] paru,paru [240] retweet,jika [240] jika,anda [240] anda,tak [240] tak,ada [240] ada,kawan [240] kawan,yang [240] yang,ditebuk [240] ditebuk,paru [240] paru,sebab Top Word Pairs in Tweet in G4:
[27] #vape,#vape好きな人と繋がりたい [26] illusia,18650 [19] #vape,#vapelife [17] #vapeはまだ死んじゃいない,#vape [15] 18650,illusia [15] v3,rda [14] kaminari,vape [14] vape,co [14] #オフィスエッジ,#vapeはまだ死んじゃいない [12] 皆様にお届けしているプチプチ封筒やダンボールのロゴはスタッフが一つ一つ心を込めてスタンプを押しております,本当は手書きのお手紙でも付けたいのですが Top Word Pairs in Tweet in G5:
[10] first,time [9] normanswan,ama_media [9] ama_media,ama_vice [9] #ukvaporwaves,#disposable [8] vaping,industry [8] #disposable,#ecigarette [8] #ecig,#eliquid [8] lucadf,cdcgov [7] jean,moiroud [7] moiroud,président Top Word Pairs in Tweet in G6:
[205] mf,asked [205] asked,see [205] see,vape [205] vape,wanted [205] wanted,use [205] use,threw [205] threw,window [205] window,onna [205] onna,highway [204] wakeuplilo,mf Top Word Pairs in Tweet in G7:
[173] cw,police [173] police,shooting [173] shooting,censored [173] censored,version [173] version,bodycam [173] bodycam,footage [173] footage,columbus [173] columbus,ohio [173] ohio,late [173] late,night Top Word Pairs in Tweet in G8:
[181] columbus,police [181] police,fatally [181] fatally,shot [181] shot,20 [181] 20,year [181] year,old [181] old,black [181] black,man [181] man,attempting [181] attempting,serve Top Word Pairs in Tweet in G9:
[201] chordne,ke [201] ke,liye [100] cigarette,chordne [100] liye,vape [100] vape,shuru [100] shuru,ki [100] ki,thi [100] thi,vape [100] vape,chordne [100] liye,phir Top Word Pairs in Tweet in G10:
[63] cherry,vape [62] men,used [62] used,hunt [62] hunt,food [62] food,go [62] go,war [62] war,panic [62] panic,attack [62] attack,forget [62] forget,cherry Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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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: