The graph represents a network of 7,405 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, 19 May 2022 at 20:07 UTC.
The requested start date was Thursday, 19 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, 4-hour, 30-minute period from Monday, 16 May 2022 at 08:49 UTC to Wednesday, 18 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 : 7405
Unique Edges : 5182
Edges With Duplicates : 6953
Total Edges : 12135
Number of Edge Types : 5
MentionsInRetweet : 2965
Mentions : 1260
Replies to : 1696
Retweet : 2266
Tweet : 3948
Self-Loops : 4077
Reciprocated Vertex Pair Ratio : 0.0375266524520256
Reciprocated Edge Ratio : 0.0723386765310317
Connected Components : 3482
Single-Vertex Connected Components : 2303
Maximum Vertices in a Connected Component : 923
Maximum Edges in a Connected Component : 3450
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.081418
Graph Density : 8.87525074498483E-05
Modularity : 0.497015
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,405 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, 19 May 2022 at 20:07 UTC.
The requested start date was Thursday, 19 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, 4-hour, 30-minute period from Monday, 16 May 2022 at 08:49 UTC to Wednesday, 18 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:
[168] #publichealthengland,#cancerresearchuk [165] #cancerresearchuk,assure [163] assure,#ecig [162] #ecig,better [158] better,smoking [148] smoking,cessation [146] cessation,tool [131] one,thing [122] tool,nicotine [116] nicotine,gum Top Word Pairs in Tweet in G1:
[56] ng,vape [47] vape,juice [46] hit,vape [42] vape,pen [37] vape,ko [32] sa,vape [31] disposable,vape [29] throwing,vape [29] vape,shop [29] หร,ไฟฟ Top Word Pairs in Tweet in G2:
[65] 第95回フォロー,rtでプレゼント [65] rtでプレゼント,vape歴10年の [65] vape歴10年の,暴走店長が本気で作った [65] 暴走店長が本気で作った,高濃度cbdリキッド [65] 高濃度cbdリキッド,カートリッジ [65] カートリッジ,未発売 [65] 未発売,5ｍl [65] 5ｍl,1名様に [65] 1名様に,アトマ0 [65] アトマ0,5ｍl入り Top Word Pairs in Tweet in G3:
[33] grimmgreen,hi [29] vape,shop [17] years,ago [16] shop,owner [15] quit,smoking [14] vape,nicotine [13] contact,contact [13] contact,vazoworld [13] vazoworld,official [13] official,website Top Word Pairs in Tweet in G4:
[167] #publichealthengland,#cancerresearchuk [164] #cancerresearchuk,assure [162] assure,#ecig [161] #ecig,better [158] better,smoking [147] smoking,cessation [146] cessation,tool [122] tool,nicotine [116] nicotine,gum [97] gum,highest Top Word Pairs in Tweet in G5:
[99] one,thing [99] thing,assanal [99] assanal,fans [99] fans,love [99] love,give [99] give,smoke [99] smoke,handle [99] handle,vape [99] vape,rival [99] rival,supporters Top Word Pairs in Tweet in G7:
[82] kampas,vape [81] info,ganti [81] ganti,kampas [81] vape,mazzeh [80] garasikomedi,info [4] vape,nya Top Word Pairs in Tweet in G8:
[18] classic,design [17] tfv18,mini [17] mini,tank [16] comes,priv [16] priv,kit [16] kit,touch [16] touch,screen [16] screen,suede [16] suede,material [16] material,tfv18 Top Word Pairs in Tweet in G9:
[16] put,vape [16] vape,down [15] popcrave,actually [15] actually,kills [15] kills,fact [15] fact,ll [15] ll,never [15] never,calmly [15] calmly,put [15] down,always Top Word Pairs in Tweet in G10:
[67] someone,rocked [67] rocked,mosh [67] mosh,pit [67] pit,see [67] see,wallet [67] wallet,vape [67] vape,inhaler [67] inhaler,fly [67] fly,metalcore [67] metalcore,sonic Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: