The graph represents a network of 4,576 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 Saturday, 16 November 2019 at 01:28 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 33-minute period from Wednesday, 13 November 2019 at 12:41 UTC to Thursday, 14 November 2019 at 15:15 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 : 4576
Unique Edges : 5225
Edges With Duplicates : 1859
Total Edges : 7084
Number of Edge Types : 3
Tweet : 1759
Replies to : 1295
Mentions : 4030
Self-Loops : 1759
Reciprocated Vertex Pair Ratio : 0.0371495327102804
Reciprocated Edge Ratio : 0.071637756251408
Connected Components : 1464
Single-Vertex Connected Components : 909
Maximum Vertices in a Connected Component : 1643
Maximum Edges in a Connected Component : 3894
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.209897
Graph Density : 0.000212035232527036
Modularity : 0.630529
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,576 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 Saturday, 16 November 2019 at 01:28 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 33-minute period from Wednesday, 13 November 2019 at 12:41 UTC to Thursday, 14 November 2019 at 15:15 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[274] vape,industry [247] never,seen [246] seen,before [244] industry,money [243] politician,cave [243] cave,vape [243] money,saw [243] saw,lungs [243] lungs,something [243] something,ve Top Word Pairs in Tweet in G1:
[32] #vape,#vaping [31] #tobacco,#nicotine [31] #nicotine,#weedlife [31] #weedlife,#weed [29] #smoking,#vaporizer [29] #weed,#mj [29] #marijuananews,#marijuana [29] #marijuana,#high [29] #stonerlife,#ecigs [28] vape,pen Top Word Pairs in Tweet in G2:
[66] picture,worth [60] don,t [57] vape,shops [52] vape,shop [37] vape,vote [37] billion,lives [36] flavored,vape [34] #vape,#vapefam [33] vape,ban [33] worth,thousand Top Word Pairs in Tweet in G3:
[244] vape,industry [243] politician,cave [243] cave,vape [243] industry,money [243] money,saw [243] saw,lungs [243] lungs,something [243] something,ve [243] ve,never [243] never,seen Top Word Pairs in Tweet in G4:
[68] 宜しくお願い致します,#vape [51] ง,ω [51] ω,ง [48] 拡散希望,秋葉原実店舗 [48] 秋葉原実店舗,perfection [48] perfection,flavor [48] flavor,wicks [48] wicks,pop [48] pop,up [48] up,イベント告知プレゼントキャンペーン Top Word Pairs in Tweet in G5:
[9] cuecig,#vape [9] #vapefam,#vapelife [7] vape,ban [6] #vape,#ejuice [5] social,media [5] #vapeshop,#vapestore [5] joyetechclub,wismecuk [5] wismecuk,firehouse_vape [5] firehouse_vape,eleafuk [5] thank,everyone Top Word Pairs in Tweet in G6:
[72] vape,friends [70] 1,follow [70] 2,3 [70] 3,tag [70] tag,ur [70] ur,vape [66] enter,now [66] now,gt [66] gt,1 [61] friends,six Top Word Pairs in Tweet in G7:
[11] お待たせいたしました,いよいよ明日11 [11] いよいよ明日11,15わーべ小岩オープンですっ [11] 15わーべ小岩オープンですっ,お店もしっかりと準備できましたので [11] お店もしっかりと準備できましたので,ぜひ遊びにいらしてくださいね [11] ぜひ遊びにいらしてくださいね,皆様にお会いできるのを楽しみにお待ちしております [11] 皆様にお会いできるのを楽しみにお待ちしております,#vape [11] #vape,#小岩 [11] #小岩,#わーべ小岩 [10] wvsjkoiwa,お待たせいたしました [9] t,co Top Word Pairs in Tweet in G8:
[97] hisap,vape [82] tak,hisap [82] rokok,pod [81] hai,tak [81] vape,rokok [81] pod,shisha [81] shisha,dan [81] dan,seangkatannya [80] farrieezz,hai [16] turn,dengan Top Word Pairs in Tweet in G9:
[75] girl,turn [75] turn,sia [75] sia,laki [75] laki,isap [75] isap,pod [75] pod,vape [75] vape,kejadah [75] kejadah,tu [75] tu,girl [75] girl,vid Top Word Pairs in Tweet in G10:
[74] tak,hisap [74] hisap,vape [74] vape,rokok [72] rokok,pod [72] sumpah,limited [70] lelaki,yg [70] yg,tak [70] pod,sumpah [69] alyashafiyaa,lelaki [2] dahla,tak Top Replied-To in Entire Graph:
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 G9:
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: