The graph represents a network of 6,461 Twitter users whose recent tweets contained "soda tax", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2384-day, 2-hour, 11-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 12 February 2023 at 20:34 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6461
Unique Edges : 3457
Edges With Duplicates : 10291
Total Edges : 13748
Number of Edge Types : 9
Replies to : 2249
MentionsInReplyTo : 4436
Retweet : 2371
MentionsInRetweet : 2753
Tweet : 1304
Mentions : 410
Quote : 162
MentionsInQuoteReply : 18
MentionsInQuote : 45
Self-Loops : 1683
Reciprocated Vertex Pair Ratio : 0.0505260038524226
Reciprocated Edge Ratio : 0.0961918194640339
Connected Components : 1300
Single-Vertex Connected Components : 446
Maximum Vertices in a Connected Component : 2736
Maximum Edges in a Connected Component : 6633
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.325219
Graph Density : 0.000169868939763851
Modularity : 0.515957
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,461 Twitter users whose recent tweets contained "soda tax", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2384-day, 2-hour, 11-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 12 February 2023 at 20:34 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : soda tax
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:
[1529] soda,tax [970] fda,funneled [970] leading,universities [970] think,tanks [970] universities,well [970] money,professors [970] well,think [970] funneled,money [970] tanks,left [970] watched,fda Top Word Pairs in Tweet in G1:
[948] fda,funneled [948] watched,fda [948] left,right [948] universities,well [948] think,tanks [948] money,professors [948] professors,leading [948] funneled,money [948] leading,universities [948] tanks,left Top Word Pairs in Tweet in G2:
[230] lunch,special [203] soda,tax [115] special,lunch [115] special,11am [115] 11am,3pm [91] 99,tax [86] soda,29 [86] 29,tax [55] 2l,soda [55] pizzas,toppings Top Word Pairs in Tweet in G3:
[207] soda,tax [41] tax,money [26] million,dollars [22] jeff,brown [20] 300,million [17] city,council [13] philadelphia,city [12] bill,160682 [11] tax,soda [11] money,300 Top Word Pairs in Tweet in G4:
[11] soda,tax [10] mw_royers,piper4missouri [9] sales,tax [9] tab_soda_mph,schoolchoicene [8] schoolchoicene,mw_royers [8] tax,dollars [7] income,tax [6] tomaandp,richardtiggela2 [6] richardtiggela2,andrewbarness [6] andrewbarness,nebraskamegan Top Word Pairs in Tweet in G5:
[114] soda,tax [107] newfoundland,labrador [93] drinks,becoming [93] imposing,20 [93] first,province [93] 20,soda [93] province,impose [93] tax,soft [93] soft,drinks [93] labrador,imposing Top Word Pairs in Tweet in G6:
[94] soda,tax [93] tax,tax [91] middle,class [91] tax,poor [91] poor,middle [91] democrat,senate [91] pennsylvania,democrat [91] senate,candidate [91] candidate,john [91] fetterman,soda Top Word Pairs in Tweet in G7:
[64] soda,tax [15] tax,brilliant [15] fetterman,endorsed [15] problem,imposing [15] tax,soda [15] endorsed,soda [14] bernie,sanders [13] regressive,increasing [12] nanny,state [12] state,approach Top Word Pairs in Tweet in G8:
[44] soda,tax [17] idea,many [17] sound,approach [17] seems,sound [17] many,reasons [17] reasons,surface [17] bad,good [17] many,many [17] tax,bad [17] surface,seems Top Word Pairs in Tweet in G9:
[85] drinking,soda [85] eating,edibles [85] tax,turning [85] edibles,drinking [85] turning,ask [85] ask,washington [85] alone,tax [85] soda,alone [84] rontech5,eating Top Word Pairs in Tweet in G10:
[46] soft,drinks [40] drinks,industry [40] industry,levy [38] soda,tax [27] uk,soft [27] time,uk [26] shown,first [26] helped,prevent [26] prevent,thousands [26] levy,helped Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Mentioned in G6:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: