The graph represents a network of 5,533 Twitter users whose tweets in the requested range contained "nicotine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 15 September 2019 at 22:59 UTC.
The requested start date was Sunday, 15 September 2019 at 22:57 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 11-hour, 11-minute period from Wednesday, 11 September 2019 at 02:13 UTC to Sunday, 15 September 2019 at 13:24 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 : 5533
Unique Edges : 5818
Edges With Duplicates : 1004
Total Edges : 6822
Self-Loops : 1308
Reciprocated Vertex Pair Ratio : 0.0129006248740173
Reciprocated Edge Ratio : 0.0254726368159204
Connected Components : 1241
Single-Vertex Connected Components : 612
Maximum Vertices in a Connected Component : 1359
Maximum Edges in a Connected Component : 2379
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.7143
Graph Density : 0.000164169783115545
Modularity : 0.756799
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[850] nicotine,addiction [593] nicotine,vaping [565] flavored,nicotine [524] ban,vaping [519] vaping,please [518] more,children [518] children,died [518] died,ice [518] ice,custody [518] custody,flavored Top Word Pairs in Tweet in G1:
[88] nicotine,addiction [36] don,t [31] relief,nicotine [28] addicted,nicotine [25] vapers,seek [25] seek,relief [18] addiction,wait [17] quit,nicotine [17] wait,cigarettes [15] vaping,nicotine Top Word Pairs in Tweet in G2:
[518] more,children [518] children,died [518] died,ice [518] ice,custody [518] custody,flavored [518] flavored,nicotine [518] nicotine,vaping [518] vaping,lets [518] lets,ban [518] ban,vaping Top Word Pairs in Tweet in G3:
[481] nicotine,addiction [481] biggest,flex [479] having,nicotine [479] addiction,biggest [478] abigailkauffman,having [2] abigailkauffman,overcoming [2] overcoming,nicotine [2] addiction,one [2] one,biggest [2] flex,s Top Word Pairs in Tweet in G4:
[63] e,cigarettes [51] black,market [39] deaths,lung [38] s,set [38] set,record [38] record,straight [38] straight,alarming [38] alarming,headlines [38] us','nearly [38] 'nearly,deaths Top Word Pairs in Tweet in G5:
[321] nicotine,kids [321] kids,e [321] e,cigarettes [321] cigarettes,ban [320] jaylthe2nd,nicotine Top Word Pairs in Tweet in G6:
[206] deeply,concerned [206] concerned,growing [206] growing,epidemic [206] epidemic,e [206] e,cigarette [206] cigarette,use [206] use,children [206] children,need [206] need,protect [205] flotus,deeply Top Word Pairs in Tweet in G7:
[175] weren,t [174] juuls,weren [174] t,created [174] created,help [174] help,people [174] people,stop [174] stop,smoking [174] smoking,cigarettes [174] cigarettes,created [174] created,introduce Top Word Pairs in Tweet in G8:
[21] eugenegu,realdonaldtrump [18] nicotine,e [14] e,cigarettes [13] life,saving [13] saving,nicotine [12] vaping,nicotine [12] company,reps [12] quit,smoking [11] good,morning [11] morning,today Top Word Pairs in Tweet in G9:
[8] 하는,남자 [8] 남자,거름 [4] 오늘은,제가 [4] 줄,아세요 [4] 알아,나 [4] 한,손가락 [4] 남자,커트 [4] 커트,8천원 [2] 미국에서,몇 [2] 몇,차례나 Top Word Pairs in Tweet in G10:
[68] one,problem [68] problem,keeping [68] keeping,those [68] those,underage [68] underage,accessing [68] accessing,vape [68] vape,state [68] state,issue [67] saywhen78,one [67] issue,parentin Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: