The graph represents a network of 6,436 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 01:51 UTC.
The tweets in the network were tweeted over the 2391-day, 5-hour, 46-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Monday, 20 February 2023 at 00:09 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 : 6436
Unique Edges : 3404
Edges With Duplicates : 10257
Total Edges : 13661
Number of Edge Types : 9
Replies to : 2238
MentionsInReplyTo : 4363
Retweet : 2376
MentionsInRetweet : 2746
Tweet : 1302
Mentions : 410
Quote : 162
MentionsInQuoteReply : 18
MentionsInQuote : 46
Self-Loops : 1674
Reciprocated Vertex Pair Ratio : 0.0501492537313433
Reciprocated Edge Ratio : 0.0955088118249005
Connected Components : 1300
Single-Vertex Connected Components : 442
Maximum Vertices in a Connected Component : 2789
Maximum Edges in a Connected Component : 6757
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.693658
Graph Density : 0.000169887429054614
Modularity : 0.515302
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,436 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 01:51 UTC.
The tweets in the network were tweeted over the 2391-day, 5-hour, 46-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Monday, 20 February 2023 at 00:09 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:
[1518] soda,tax [976] fda,funneled [976] leading,universities [976] think,tanks [976] universities,well [976] money,professors [976] well,think [976] funneled,money [976] tanks,left [976] watched,fda Top Word Pairs in Tweet in G1:
[954] fda,funneled [954] watched,fda [954] left,right [954] universities,well [954] think,tanks [954] money,professors [954] professors,leading [954] funneled,money [954] leading,universities [954] tanks,left Top Word Pairs in Tweet in G2:
[230] lunch,special [190] soda,tax [115] 11am,3pm [115] special,lunch [115] special,11am [92] 99,tax [86] soda,29 [86] 29,tax [56] pizzas,toppings [56] 2l,soda Top Word Pairs in Tweet in G3:
[192] soda,tax [40] tax,money [26] million,dollars [21] jeff,brown [20] 300,million [18] city,council [14] philadelphia,city [12] bill,160682 [11] money,300 [10] more,police 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 [6] tomaandp,richardtiggela2 [6] richardtiggela2,andrewbarness [6] income,tax [6] andrewbarness,nebraskamegan Top Word Pairs in Tweet in G5:
[115] soda,tax [108] newfoundland,labrador [94] tax,soft [94] first,province [94] province,impose [94] drinks,becoming [94] soft,drinks [94] imposing,20 [94] labrador,imposing [94] 20,soda Top Word Pairs in Tweet in G6:
[64] soda,tax [16] tax,brilliant [15] problem,imposing [15] tax,soda [15] fetterman,endorsed [15] endorsed,soda [14] bernie,sanders [13] regressive,increasing [12] governing,problem [12] approach,governing Top Word Pairs in Tweet in G7:
[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 G8:
[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 G9:
[47] soft,drinks [41] drinks,industry [41] industry,levy [39] soda,tax [27] uk,soft [27] time,uk [26] shown,first [26] helped,prevent [26] prevent,thousands [26] levy,helped Top Word Pairs in Tweet in G10:
[51] sugar,sweetened [49] sweetened,beverages [45] energy,drinks [43] weight,gain [43] soda,energy [43] gain,obesity [43] drinks,linked [43] beverages,soda [43] linked,weight [43] drinking,sugar 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:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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:
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Top Tweeters in G9:
Top Tweeters in G10: