The graph represents a network of 7,158 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, 31 March 2022 at 21:09 UTC.
The requested start date was Thursday, 31 March 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, 7-hour, 7-minute period from Monday, 28 March 2022 at 06:12 UTC to Wednesday, 30 March 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 : 7158
Unique Edges : 4742
Edges With Duplicates : 7180
Total Edges : 11922
Number of Edge Types : 5
Tweet : 3526
Replies to : 1678
Retweet : 2614
MentionsInRetweet : 3109
Mentions : 995
Self-Loops : 3564
Reciprocated Vertex Pair Ratio : 0.046545007176543
Reciprocated Edge Ratio : 0.0889498432601881
Connected Components : 3030
Single-Vertex Connected Components : 1965
Maximum Vertices in a Connected Component : 982
Maximum Edges in a Connected Component : 3359
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.39808
Graph Density : 9.96295008417561E-05
Modularity : 0.504509
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,158 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, 31 March 2022 at 21:09 UTC.
The requested start date was Thursday, 31 March 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, 7-hour, 7-minute period from Monday, 28 March 2022 at 06:12 UTC to Wednesday, 30 March 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:
[632] kedai,makan [628] vape,dan [627] jangan,lupa [626] lupa,vape [626] dan,shisha [626] shisha,juga [626] juga,dilarang [626] dilarang,kedai [625] fctcmalaysia,jangan [231] ノンニコチンノンタールの持ち運びシーシャslash,vapeslash Top Word Pairs in Tweet in G1:
[48] vape,pen [46] vape,ko [41] vape,juice [41] ng,vape [30] vape,shop [29] hit,vape [29] #質問箱,#匿名質問募集中 [25] sa,vape [23] mag,vape [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:
[628] kedai,makan [624] jangan,lupa [624] lupa,vape [624] vape,dan [624] dan,shisha [624] shisha,juga [624] juga,dilarang [624] dilarang,kedai [623] fctcmalaysia,jangan [5] orang,lain Top Word Pairs in Tweet in G3:
[20] pod,kit [19] #vape,#vaping [17] big,tobacco [16] #vape,#vapelife [14] adults,21 [13] coming,soon [13] addictive,chemical [13] sell,credit [13] credit,campaign [12] kit,features Top Word Pairs in Tweet in G4:
[230] ノンニコチンノンタールの持ち運びシーシャslash,vapeslash [230] vapeslash,をtwitterでもご紹介 [230] をtwitterでもご紹介,コンパクトなサイズで珍しい豊富なフレーバーが沢山 [230] コンパクトなサイズで珍しい豊富なフレーバーが沢山,今回はパイナップルココナッツ [230] 今回はパイナップルココナッツ,パイナップル引き立って爽やかな味だった [230] パイナップル引き立って爽やかな味だった,おいし [229] aoiyam__,ノンニコチンノンタールの持ち運びシーシャslash [229] おいし,インスタでも他 [55] #slash,#vape [30] #vape,#持ち運びシーシャ Top Word Pairs in Tweet in G5:
[32] #vape,#vape好きな人と繋がりたい [27] 最終プレゼント企画その１,ドリチセットを4名様にプレゼント [27] ドリチセットを4名様にプレゼント,のどれかが当たります [27] のどれかが当たります,３種類同時に企画を出していて [27] ３種類同時に企画を出していて,全てに応募可能です [27] 全てに応募可能です,複数当選した場合はこちら [27] 複数当選した場合はこちら,１ [27] １,を優先とします [27] を優先とします,#vape [26] iikokeko,最終プレゼント企画その１ Top Word Pairs in Tweet in G6:
[105] lockupp,live [105] live,feed [105] feed,one [105] one,contestant [105] contestant,zeeshan [105] zeeshan,vape [105] vape,bhi [105] bhi,nikal [105] nikal,diya [105] diya,tha Top Word Pairs in Tweet in G7:
[69] bit_innovator,広報より [37] 広報より,アフィリエイトパートナー [37] アフィリエイトパートナー,アフィリエイター [37] アフィリエイター,募集です [37] 募集です,従来のコードやidではなく [37] 従来のコードやidではなく,最近流行の紹介ヒモ付けです [37] 最近流行の紹介ヒモ付けです,店舗やvape好きな方を紹介いただくだけ [37] 店舗やvape好きな方を紹介いただくだけ,仕入れがある度に報酬お支払い [37] 仕入れがある度に報酬お支払い,アポだけでもok [36] アポだけでもok,クロージングは弊社で行 Top Word Pairs in Tweet in G8:
[68] bom,dia [68] dia,essa [68] essa,merda [68] merda,fumar [68] fumar,vape [68] vape,prejudicial [68] prejudicial,parem [68] parem,lá [67] doughbwoyyy,bom Top Word Pairs in Tweet in G9:
[56] shisha,pen [56] pen,5k [46] 5k,herbs [45] herbs,vape [45] vape,25k [35] ashtray,7k [35] smoke,kit [35] kit,23k [26] omoodegideon001,ganja [26] ganja,ashtray Top Word Pairs in Tweet in G10:
[3] 2022,03 [3] ランク外,最大ツイート間隔 [3] 最大ツイート間隔,5時間 [3] ランク外,最小ツイート間隔 [3] 最小ツイート間隔,00分 [3] ランク外,ツイ廃ジャーv3 [3] #どこにこだわってるの選手権,無駄に動く所 [3] 無駄に動く所,なぜ作ったし [3] なぜ作ったし,が最高の褒め言葉 [2] 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 Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
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: