The graph represents a network of 6,486 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 01:49 UTC.
The tweets in the network were tweeted over the 2377-day, 6-hour, 36-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Monday, 06 February 2023 at 01:00 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 : 6486
Unique Edges : 3431
Edges With Duplicates : 10150
Total Edges : 13581
Number of Edge Types : 9
Replies to : 2211
MentionsInReplyTo : 4356
Retweet : 2368
MentionsInRetweet : 2707
Tweet : 1319
Mentions : 397
Quote : 161
MentionsInQuoteReply : 18
MentionsInQuote : 44
Self-Loops : 1691
Reciprocated Vertex Pair Ratio : 0.0479533910965043
Reciprocated Edge Ratio : 0.0915181753385602
Connected Components : 1316
Single-Vertex Connected Components : 466
Maximum Vertices in a Connected Component : 2717
Maximum Edges in a Connected Component : 6436
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.219268
Graph Density : 0.000166778763868611
Modularity : 0.518644
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,486 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 01:49 UTC.
The tweets in the network were tweeted over the 2377-day, 6-hour, 36-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Monday, 06 February 2023 at 01:00 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:
[1514] soda,tax [977] fda,funneled [977] leading,universities [977] think,tanks [977] universities,well [977] money,professors [977] well,think [977] funneled,money [977] tanks,left [977] watched,fda Top Word Pairs in Tweet in G1:
[954] well,think [954] left,right [954] fda,funneled [954] leading,universities [954] watched,fda [954] professors,leading [954] funneled,money [954] think,tanks [954] universities,well [954] money,professors Top Word Pairs in Tweet in G2:
[236] lunch,special [209] soda,tax [118] 11am,3pm [118] special,lunch [118] special,11am [91] 99,tax [89] soda,29 [89] 29,tax [57] pizzas,toppings [57] 2l,soda Top Word Pairs in Tweet in G3:
[214] soda,tax [43] tax,money [26] million,dollars [25] jeff,brown [19] 300,million [14] city,council [11] bill,160682 [10] money,300 [10] tax,soda [10] philadelphia,city Top Word Pairs in Tweet in G4:
[10] soda,tax [8] sales,tax [8] tax,dollars [7] income,tax [6] richardtiggela2,andrewbarness [6] andrewbarness,nebraskamegan [6] tomaandp,richardtiggela2 [5] free,soda [5] potus,tax [4] nsea_org,potus Top Word Pairs in Tweet in G5:
[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 G6:
[113] soda,tax [106] newfoundland,labrador [92] tax,soft [92] first,province [92] province,impose [92] drinks,becoming [92] soft,drinks [92] imposing,20 [92] labrador,imposing [92] 20,soda Top Word Pairs in Tweet in G7:
[94] soda,tax [93] tax,tax [91] candidate,john [91] fetterman,soda [91] senate,candidate [91] john,fetterman [91] poor,middle [91] tax,poor [91] middle,class [91] democrat,senate 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:
[86] drinking,soda [86] eating,edibles [86] tax,turning [86] edibles,drinking [86] turning,ask [86] ask,washington [86] alone,tax [86] soda,alone [85] rontech5,eating Top Word Pairs in Tweet in G10:
[50] completely,backfired [50] backfired,study [50] 'soda,tax' [50] tax',completely [50] philadelphia,'soda [48] zerohedge,philadelphia [10] soda,tax [5] soda,taxes [4] nycexpatmom,whenever [4] mention,soda 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 G8:
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: