The graph represents a network of 5,842 Twitter users whose tweets in the requested range contained "starbucks", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 09:28 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-hour, 49-minute period from Thursday, 14 November 2019 at 21:11 UTC to Friday, 15 November 2019 at 01:00 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 : 5842
Unique Edges : 5608
Edges With Duplicates : 545
Total Edges : 6153
Number of Edge Types : 3
Tweet : 2401
Mentions : 2958
Replies to : 794
Self-Loops : 2401
Reciprocated Vertex Pair Ratio : 0.021632535333141
Reciprocated Edge Ratio : 0.0423489553924337
Connected Components : 2711
Single-Vertex Connected Components : 1851
Maximum Vertices in a Connected Component : 702
Maximum Edges in a Connected Component : 1186
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.420132
Graph Density : 0.000103800584249003
Modularity : 0.700471
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,842 Twitter users whose tweets in the requested range contained "starbucks", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 09:28 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-hour, 49-minute period from Thursday, 14 November 2019 at 21:11 UTC to Friday, 15 November 2019 at 01:00 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 : starbucks
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:
[267] good,morning [260] busy,starbucks [259] morning,m [259] m,headed [259] starbucks,trump [258] headed,busy [258] trump,computer [258] computer,seattle [258] seattle,washington [258] washington,#thursdaythoughts Top Word Pairs in Tweet in G1:
[90] happy,hour [72] buy,one [67] one,one [40] one,free [39] don,t [32] starbucks,happy [32] want,starbucks [29] free,starbucks [28] starbucks,drink [27] go,starbucks Top Word Pairs in Tweet in G2:
[35] happy,hour [17] starbucks,happy [12] hot,chocolate [11] hey,starbucks [11] re,hosting [11] hosting,kindness [11] kindness,activations [11] activations,starbucks [11] starbucks,stores [11] stores,country Top Word Pairs in Tweet in G3:
[259] starbucks,trump [258] good,morning [258] morning,m [258] m,headed [258] headed,busy [258] busy,starbucks [258] trump,computer [258] computer,seattle [258] seattle,washington [258] washington,#thursdaythoughts Top Word Pairs in Tweet in G4:
[211] east,boyle [211] boyle,heights [211] heights,aware [211] aware,white [211] white,van [211] van,re [211] re,kidnapping [211] kidnapping,brother [211] brother,noticed [211] noticed,starbucks Top Word Pairs in Tweet in G5:
[48] yall,teluk [48] teluk,chempedak [48] chempedak,straight [48] straight,out [48] out,mcd [48] mcd,starbucks [48] starbucks,mf [48] mf,sushi [48] sushi,king [48] king,subway Top Word Pairs in Tweet in G6:
[46] dukes,support [46] support,dukes [46] dukes,retweet [46] retweet,post [46] post,chance [46] chance,win [46] win,20 [46] 20,starbucks [46] starbucks,gift [46] gift,card Top Word Pairs in Tweet in G7:
[40] ',inspired [40] inspired,starbucks [40] starbucks,pickup [40] pickup,line [40] line,#taekook [40] #taekook,#vkook [40] #vkook,#taekookfanart [40] #taekookfanart,#taekookcomic [40] #taekookcomic,#fanart [39] nztaekoya,' Top Word Pairs in Tweet in G8:
[37] next,give [37] give,away [37] away,tumbler [37] tumbler,starbucks [37] starbucks,edisi [37] edisi,kuala [37] kuala,lumpur [37] lumpur,alasan [37] alasan,ga [37] ga,punya Top Word Pairs in Tweet in G9:
[68] 1,แก [34] #starbucks,#1แถม1 [34] #1แถม1,#ไม [34] #ไม,ต [34] ต,องเป [34] องเป,นสมาช [34] นสมาช,ก [34] ก,เพ [34] เพ,ยงซ [34] ยงซ,อเคร Top Word Pairs in Tweet in G10:
[62] guys,guys [31] guys,binigay [31] binigay,ko [31] ko,sa [31] sa,isang [31] isang,cute [31] cute,na [31] na,starbucks [31] starbucks,barista [31] barista,kagabi Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: