The graph represents a network of 7,428 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, 26 May 2022 at 20:06 UTC.
The requested start date was Thursday, 26 May 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, 3-hour, 43-minute period from Monday, 23 May 2022 at 09:36 UTC to Wednesday, 25 May 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 : 7428
Unique Edges : 5289
Edges With Duplicates : 6664
Total Edges : 11953
Number of Edge Types : 5
Retweet : 2289
MentionsInRetweet : 2864
Tweet : 3767
Replies to : 1789
Mentions : 1244
Self-Loops : 3832
Reciprocated Vertex Pair Ratio : 0.0426841781243587
Reciprocated Edge Ratio : 0.0818736469198977
Connected Components : 3368
Single-Vertex Connected Components : 2202
Maximum Vertices in a Connected Component : 749
Maximum Edges in a Connected Component : 2740
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.449653
Graph Density : 9.2100900388263E-05
Modularity : 0.514025
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,428 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, 26 May 2022 at 20:06 UTC.
The requested start date was Thursday, 26 May 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, 3-hour, 43-minute period from Monday, 23 May 2022 at 09:36 UTC to Wednesday, 25 May 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:
[187] hitting,vape [168] assunto,vape [167] quando,assunto [166] meia,idade [165] sinto,senhor [165] senhor,meia [165] idade,conservador [165] conservador,evangélico [165] evangélico,quando [164] dantegalileu,sinto Top Word Pairs in Tweet in G1:
[65] vape,juice [61] ng,vape [46] vape,ko [40] vape,pen [37] sa,vape [34] hit,vape [29] disposable,vape [27] #質問箱,#匿名質問募集中 [26] vape,shop [23] みんなからの匿名質問を募集中,こんな質問に答えてるよ Top Word Pairs in Tweet in G2:
[19] #vape,#vape好きな人と繋がりたい [15] ennequadro,kuma [15] kuma,rta [15] rta,dlc [13] frog,oopartsオープンしました [9] vape,shop [8] こんにちは,frog [7] こんにちは,vapeloveです [7] vapeloveです,店頭にも [7] 店頭にも,kawaiivape Top Word Pairs in Tweet in G3:
[23] check,more [21] miss,bmor [20] more,miss [17] bmor,charity [16] #vape,#vaping [16] #vapefam,#vaping [15] vaper,expo [15] #vape,#vapelife [14] over,year [14] year,yorkshirecancer's Top Word Pairs in Tweet in G4:
[87] vapeセット,頂きました [61] cbd,フェイシャルマスク [60] キャンなび,cam_navi_ [60] cam_navi_,様のcpにて [60] 様のcpにて,cbdブランドemma [60] cbdブランドemma,エマ [60] エマ,のcbdフェイシャルマスク [60] のcbdフェイシャルマスク,cbd [60] cbd,vapeを頂きました [60] vapeを頂きました,先日 Top Word Pairs in Tweet in G5:
[165] sinto,senhor [165] senhor,meia [165] meia,idade [165] idade,conservador [165] conservador,evangélico [165] evangélico,quando [165] quando,assunto [165] assunto,vape [164] dantegalileu,sinto [2] dantegalileu,sou Top Word Pairs in Tweet in G6:
[83] #publichealthengland,#cancerresearchuk [81] #cancerresearchuk,assure [80] assure,#ecig [80] #ecig,better [76] better,smoking [74] smoking,cessation [74] cessation,tool [54] tool,nicotine [54] nicotine,gum [45] gum,highest Top Word Pairs in Tweet in G7:
[157] carla,bruni [157] bruni,hitting [157] hitting,vape [157] vape,cannes [157] cannes,red [157] red,carpet [157] carpet,main [157] main,character [156] pradachurch,carla [2] obsessed,looks Top Word Pairs in Tweet in G8:
[17] hakim_gud,boyists [12] jaiandangel,boyists [9] used,vape [9] stop,telling [8] boyists,probably [8] probably,mean [8] mean,well [8] well,used [8] vape,deepest [8] deepest,shandis Top Word Pairs in Tweet in G9:
[2] nft_adidas,goes [2] goes,haaard [2] nft_adidas,ozworld [2] ozworld,open Top Word Pairs in Tweet in G10:
[62] air,show [61] vape,filled [61] filled,weekend [61] weekend,florida [61] florida,space [61] space,coast [61] coast,int [61] int,air [61] show,see [61] see,jaw Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: