The graph represents a network of 6,945 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, 27 January 2022 at 22:14 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 6-day, 6-hour, 30-minute period from Thursday, 20 January 2022 at 06:49 UTC to Wednesday, 26 January 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 : 6945
Unique Edges : 4690
Edges With Duplicates : 7172
Total Edges : 11862
Number of Edge Types : 5
Retweet : 2416
MentionsInRetweet : 2764
Tweet : 3589
Replies to : 1825
Mentions : 1268
Self-Loops : 3623
Reciprocated Vertex Pair Ratio : 0.0616363237552095
Reciprocated Edge Ratio : 0.116115702479339
Connected Components : 3079
Single-Vertex Connected Components : 2019
Maximum Vertices in a Connected Component : 814
Maximum Edges in a Connected Component : 2881
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.029839
Graph Density : 0.000100360634743691
Modularity : 0.486042
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,945 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, 27 January 2022 at 22:14 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 6-day, 6-hour, 30-minute period from Thursday, 20 January 2022 at 06:49 UTC to Wednesday, 26 January 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:
[325] girls,vape [322] euphoria,breaking [322] breaking,bad [322] bad,white [322] white,girls [321] cudalla,euphoria [255] disposable,vape [206] worst,thing [205] thing,done [205] done,buy Top Word Pairs in Tweet in G1:
[67] vape,pen [53] vape,juice [47] hit,vape [44] ng,vape [38] vape,girl [32] sa,vape [31] vape,ko [28] meu,vape [28] #質問箱,#匿名質問募集中 [25] vape,shop Top Word Pairs in Tweet in G2:
[33] #vape,#vape好きな人と繋がりたい [23] mea,culpa [21] culpa,rta [18] vape,shop [17] 12,00 [15] 新企画izanamiれびゅー始めます,#アメブロ [15] #アメブロ,ameba_official [14] 皆様こんばんは,瓶コーラ [14] 瓶コーラ,入荷しました [14] 入荷しました,まつしょーも登場 Top Word Pairs in Tweet in G3:
[322] euphoria,breaking [322] breaking,bad [322] bad,white [322] white,girls [322] girls,vape [321] cudalla,euphoria [8] vape,jane [8] jane,walked [8] walked,rue [8] rue,run Top Word Pairs in Tweet in G4:
[205] worst,thing [205] thing,done [205] done,buy [205] buy,first [205] first,disposable [205] disposable,vape [204] gillianness,worst Top Word Pairs in Tweet in G5:
[21] vape,shop [17] vape,shops [16] jim,mcdonald [15] greghuntmp,tgagovau [15] tgagovau,healthgovau [12] démission,pr [12] pr,françois [12] françois,alla [12] lendemain,rapport [12] rapport,vape Top Word Pairs in Tweet in G6:
[27] 15,sitewide [27] sitewide,coupon [27] code,precny [26] coupon,code [25] healthcabin,pre [25] pre,cny [25] cny,sale [25] sale,2022 [25] 2022,sign [25] sign,30 Top Word Pairs in Tweet in G7:
[98] those,vape [98] vape,pens [98] pens,hitting [98] hitting,streets [98] streets,harder [98] harder,crack [98] crack,80s [97] novembasveriown,those Top Word Pairs in Tweet in G8:
[101] shisha,pen [101] pen,5k [101] vape,15k [100] shisha,pot [100] pot,8k [91] herbal,vape [70] kinds,shisha [70] shisha,smoke [70] smoke,accessories [70] accessories,shisha Top Word Pairs in Tweet in G9:
[101] vape,bill [67] 59,medical [67] medical,societies [67] societies,made [67] made,nearly [67] nearly,90 [67] 90,000 [67] 000,doctors [67] doctors,raise [67] raise,arms Top Word Pairs in Tweet in G10:
[30] kontrakantivi,dunia_vape [28] dunia_vape,owlybot [28] owlybot,kadekmuri1 [28] kadekmuri1,amuhyu [28] amuhyu,mbulembil [10] good,luck [10] luck,everybody [9] mbulembil,good [4] dinoschibi,kontrakantivi [2] alto_city,kontrakantivi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: