The graph represents a network of 6,402 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2349-day, 4-hour, 32-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 08 January 2023 at 22:55 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 : 6402
Unique Edges : 3416
Edges With Duplicates : 9856
Total Edges : 13272
Number of Edge Types : 9
Replies to : 2099
MentionsInReplyTo : 4052
Retweet : 2386
MentionsInRetweet : 2729
Tweet : 1334
Mentions : 427
Quote : 188
MentionsInQuoteReply : 15
MentionsInQuote : 42
Self-Loops : 1732
Reciprocated Vertex Pair Ratio : 0.0501995701565858
Reciprocated Edge Ratio : 0.0956000584709838
Connected Components : 1344
Single-Vertex Connected Components : 458
Maximum Vertices in a Connected Component : 2591
Maximum Edges in a Connected Component : 6160
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.233738
Graph Density : 0.00016693834106384
Modularity : 0.517253
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,402 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 01:50 UTC.
The tweets in the network were tweeted over the 2349-day, 4-hour, 32-minute period from Wednesday, 03 August 2016 at 18:23 UTC to Sunday, 08 January 2023 at 22:55 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:
[1528] soda,tax [967] fda,funneled [967] leading,universities [967] think,tanks [967] universities,well [967] money,professors [967] well,think [967] funneled,money [967] tanks,left [967] watched,fda Top Word Pairs in Tweet in G1:
[948] well,think [948] left,right [948] fda,funneled [948] leading,universities [948] watched,fda [948] professors,leading [948] funneled,money [948] think,tanks [948] universities,well [948] money,professors Top Word Pairs in Tweet in G2:
[250] lunch,special [215] soda,tax [125] special,lunch [125] special,11am [125] 11am,3pm [95] soda,29 [95] 29,tax [95] 99,tax [60] 2l,soda [60] pizzas,toppings Top Word Pairs in Tweet in G3:
[242] soda,tax [43] tax,money [26] million,dollars [26] gun,violence [17] 300,million [11] city,philadelphia [11] jim,kenney [11] tax,gun [10] parks,libraries [10] more,police Top Word Pairs in Tweet in G4:
[121] soda,tax [41] philadelphia,soda [40] imposes,16 [40] fetterman,imposes [40] liter,bottle [40] two,liter [40] tax,12 [40] tax,endorsed [40] 16,tax [40] bottle,soda 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:
[89] drinking,soda [89] eating,edibles [89] tax,turning [89] edibles,drinking [89] turning,ask [89] ask,washington [89] alone,tax [89] soda,alone [88] rontech5,eating Top Word Pairs in Tweet in G8:
[48] three,years [41] people,consuming [41] consuming,half [41] half,amount [41] 29,more [41] took,effect [41] more,water [41] effect,people [41] years,berkeley [30] amount,#soda Top Word Pairs in Tweet in G9:
[41] 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:
[74] kenyans,pay [74] pay,tax [73] tax,electricity [73] someone,told [73] unga,rice [73] electricity,fuel [73] told,8m [73] sch,uniform [73] uniform,bks [73] fuel,bread 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 G8:
Top Replied-To in G9:
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: