The graph represents a network of 4,328 Twitter users whose recent tweets contained "sugartax", 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 16:13 UTC.
The tweets in the network were tweeted over the 3159-day, 0-hour, 4-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 18 March 2023 at 09:17 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 : 4328
Unique Edges : 3299
Edges With Duplicates : 8139
Total Edges : 11438
Number of Edge Types : 9
Retweet : 2809
MentionsInRetweet : 3931
Mentions : 1072
Replies to : 688
MentionsInReplyTo : 1078
Quote : 253
Tweet : 1274
MentionsInQuote : 217
MentionsInQuoteReply : 116
Self-Loops : 1743
Reciprocated Vertex Pair Ratio : 0.0377506881635863
Reciprocated Edge Ratio : 0.072754831375521
Connected Components : 773
Single-Vertex Connected Components : 412
Maximum Vertices in a Connected Component : 1950
Maximum Edges in a Connected Component : 6143
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.150146
Graph Density : 0.000281835203192609
Modularity : 0.457073
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,328 Twitter users whose recent tweets contained "sugartax", 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 16:13 UTC.
The tweets in the network were tweeted over the 3159-day, 0-hour, 4-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 18 March 2023 at 09:17 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 : sugartax
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:
[424] sugar,tax [239] #sugartax,#plastictax [231] sugary,drinks [164] soft,drinks [163] sugar,salt [147] south,africa [144] nel,2022 [137] #plastictax,#sugartax [132] 2022,grazie [132] sensibilità,premier Top Word Pairs in Tweet in G1:
[93] sugar,tax [25] sugar,salt [19] #sugartax,#salttax [16] soft,drinks [14] tax,sugar [11] liz,truss [10] south,africa [9] #plastictax,#sugartax [9] fruit,veg [9] sugary,drinks Top Word Pairs in Tweet in G2:
[58] sugar,tax [35] soft,drinks [19] things,know [19] know,food_strategy [17] artificial,sweeteners [15] five,things [15] food_strategy,proposal [14] #junkfood,tax [14] public,health [13] food,strategy Top Word Pairs in Tweet in G3:
[112] assobibe,#sugartax [80] delle,bevande [79] #plastictax,#sugartax [71] #sugartax,tassa [69] bevande,analcoliche [68] #sugartax,#plastictax [67] buon,senso [58] imprese,settore [54] delle,imprese [52] vigore,#sugartax Top Word Pairs in Tweet in G4:
[96] uk,#sugartax [75] sugar,drinks [75] less,sugar [73] working,people [73] today's,bmj [73] research,today's [73] important,research [73] #sugartax,working [73] getting,less [73] bmj,uk Top Word Pairs in Tweet in G5:
[139] sugary,drinks [123] south,africa [69] coke,south [69] craving,coke [63] #sugartax,counter [63] counter,addictive [63] used,#sugartax [63] africa,used [63] addictive,nature [63] nature,sugary Top Word Pairs in Tweet in G6:
[131] #sugartax,#plastictax [128] sensibilità,premier [128] nel,2022 [128] 2022,grazie [127] matteosalvinimi,niente [127] niente,#sugartax [127] impegno,lega [127] grazie,impegno [127] premier,governo [127] alle,sensibilità Top Word Pairs in Tweet in G7:
[63] pro,health [42] health,taxes [38] health,financing [35] sugar,sweetened [33] webinar,series [32] nigeria,pro [31] series,nigeria [31] policy,dialogue [30] sector,stakeholders [30] key,sector Top Word Pairs in Tweet in G8:
[19] week,#sugartax [19] #sugartax,essential [19] australia,restricting [19] phaa,welcomes [19] essential,tool [19] welcomes,calls [19] #obesity,australia [19] calls,week [19] preventing,#obesity [19] tool,preventing Top Word Pairs in Tweet in G9:
[94] food,poverty [92] more,expensive [92] sugar,salt [89] sugary,salty [88] salt,taxes [88] foods,more [88] poverty,poor [88] don,solve [88] salty,foods [88] diet,making Top Word Pairs in Tweet in G10:
[42] #sugartax,#nutrition [37] sweetened,beverage [37] #nutrition,#impactnutritionafrica [36] beverage,tax [36] sugar,sweetened [26] impactnutafrika,know [25] impactnutafrika,sugar [22] reduce,consumption [20] prowse,munmed [20] looking,#postdoc Top Replied-To in Entire Graph:
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 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: