The graph represents a network of 6,447 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2356-day, 5-hour, 9-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 15 January 2023 at 23:32 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 : 6447
Unique Edges : 3437
Edges With Duplicates : 10039
Total Edges : 13476
Number of Edge Types : 9
Replies to : 2175
MentionsInReplyTo : 4241
Retweet : 2367
MentionsInRetweet : 2707
Tweet : 1329
Mentions : 411
Quote : 188
MentionsInQuoteReply : 15
MentionsInQuote : 43
Self-Loops : 1736
Reciprocated Vertex Pair Ratio : 0.0495692912195859
Reciprocated Edge Ratio : 0.0944564434845212
Connected Components : 1324
Single-Vertex Connected Components : 442
Maximum Vertices in a Connected Component : 2626
Maximum Edges in a Connected Component : 6226
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.84265
Graph Density : 0.000167118403713883
Modularity : 0.517184
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,447 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2356-day, 5-hour, 9-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 15 January 2023 at 23:32 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:
[1527] soda,tax [965] fda,funneled [965] leading,universities [965] think,tanks [965] universities,well [965] money,professors [965] well,think [965] funneled,money [965] tanks,left [965] watched,fda Top Word Pairs in Tweet in G1:
[946] well,think [946] left,right [946] fda,funneled [946] leading,universities [946] watched,fda [946] professors,leading [946] funneled,money [946] think,tanks [946] universities,well [946] money,professors Top Word Pairs in Tweet in G2:
[250] lunch,special [215] soda,tax [125] special,lunch [125] special,11am [125] 11am,3pm [96] 99,tax [94] soda,29 [94] 29,tax [60] 2l,soda [60] pizzas,toppings Top Word Pairs in Tweet in G3:
[240] soda,tax [46] tax,money [26] million,dollars [19] gun,violence [17] 300,million [15] jeff,brown [11] city,council [11] city,philadelphia [11] jim,kenney [11] tax,gun Top Word Pairs in Tweet in G4:
[134] soda,tax [41] philadelphia,soda [40] soda,hit [40] liter,bottle [40] imposes,16 [40] bottle,soda [40] tax,endorsed [40] two,liter [40] tax,12 [40] fetterman,imposes Top Word Pairs in Tweet in G5:
[113] soda,tax [106] 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:
[7] carbon,tax [5] soda,tax [5] potus,tax [5] free,soda [5] tax,soda [4] albitrejason,potus [4] sales,tax [4] clairefosterphd,albitrejason [3] soda,pop [3] junk,fees Top Word Pairs in Tweet in G8:
[88] drinking,soda [88] eating,edibles [88] tax,turning [88] edibles,drinking [88] turning,ask [88] ask,washington [88] alone,tax [88] soda,alone [87] rontech5,eating Top Word Pairs in Tweet in G9:
[43] 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 G10:
[40] soda,tax [17] lower,income [16] ssb,tax [13] _food_policy,using [13] tax,equity [13] taxed,cities [13] equity,_food_policy [13] paper,ssb [13] using,household [13] three,taxed 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 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:
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: