The graph represents a network of 4,305 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 17:13 UTC.
The tweets in the network were tweeted over the 3152-day, 6-hour, 38-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 11 March 2023 at 15:51 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 : 4305
Unique Edges : 3283
Edges With Duplicates : 8140
Total Edges : 11423
Number of Edge Types : 9
Retweet : 2811
MentionsInRetweet : 3933
Mentions : 1072
Replies to : 685
MentionsInReplyTo : 1063
Quote : 255
Tweet : 1271
MentionsInQuote : 217
MentionsInQuoteReply : 116
Self-Loops : 1741
Reciprocated Vertex Pair Ratio : 0.0382642998027613
Reciprocated Edge Ratio : 0.0737082066869301
Connected Components : 767
Single-Vertex Connected Components : 410
Maximum Vertices in a Connected Component : 1951
Maximum Edges in a Connected Component : 6148
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.158523
Graph Density : 0.000284099495270046
Modularity : 0.456088
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,305 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 17:13 UTC.
The tweets in the network were tweeted over the 3152-day, 6-hour, 38-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 11 March 2023 at 15:51 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:
[421] sugar,tax [239] #sugartax,#plastictax [232] sugary,drinks [164] soft,drinks [163] sugar,salt [149] south,africa [144] nel,2022 [138] #plastictax,#sugartax [132] 2022,grazie [132] sensibilità,premier Top Word Pairs in Tweet in G1:
[101] uk,#sugartax [81] less,sugar [77] sugar,drinks [75] working,people [75] important,research [74] getting,less [74] research,today's [74] bmj,uk [74] people,getting [74] today's,bmj Top Word Pairs in Tweet in G2:
[92] sugar,tax [25] sugar,salt [19] #sugartax,#salttax [16] soft,drinks [14] tax,sugar [11] liz,truss [10] #plastictax,#sugartax [10] south,africa [9] fruit,veg [9] sugary,drinks Top Word Pairs in Tweet in G3:
[112] assobibe,#sugartax [80] delle,bevande [79] #plastictax,#sugartax [71] #sugartax,tassa [69] #sugartax,#plastictax [69] bevande,analcoliche [67] buon,senso [58] imprese,settore [54] delle,imprese [52] vigore,#sugartax Top Word Pairs in Tweet in G4:
[141] sugary,drinks [123] south,africa [69] craving,coke [69] coke,south [63] counter,addictive [63] used,#sugartax [63] nature,sugary [63] africa,used [63] addictive,nature [63] #sugartax,counter Top Word Pairs in Tweet in G5:
[130] #sugartax,#plastictax [127] sensibilità,premier [127] nel,2022 [127] 2022,grazie [126] matteosalvinimi,niente [126] niente,#sugartax [126] impegno,lega [126] grazie,impegno [126] premier,governo [126] alle,sensibilità Top Word Pairs in Tweet in G6:
[19] welcomes,calls [19] essential,tool [19] tool,preventing [19] #sugartax,essential [19] #obesity,australia [19] australia,restricting [19] week,#sugartax [19] calls,week [19] phaa,welcomes [19] preventing,#obesity 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:
[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 G9:
[32] sugar,tax [9] soft,drinks [8] sugar,salt [7] demolition,latest [7] latest,'junk [7] science',sugar [7] 'junk,science' [7] media,today [7] tax,lot [7] lot,media Top Word Pairs in Tweet in G10:
[42] #sugartax,#nutrition [37] #nutrition,#impactnutritionafrica [37] sweetened,beverage [36] beverage,tax [36] sugar,sweetened [26] impactnutafrika,know [25] impactnutafrika,sugar [22] reduce,consumption [20] position,research [20] prowse,munmed Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
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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: