The graph represents a network of 4,324 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 17:13 UTC.
The tweets in the network were tweeted over the 3144-day, 22-hour, 16-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 04 March 2023 at 07:30 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 : 4324
Unique Edges : 3273
Edges With Duplicates : 8134
Total Edges : 11407
Number of Edge Types : 9
Retweet : 2809
MentionsInRetweet : 3913
Mentions : 1069
Replies to : 686
MentionsInReplyTo : 1065
Quote : 257
Tweet : 1268
MentionsInQuote : 224
MentionsInQuoteReply : 116
Self-Loops : 1739
Reciprocated Vertex Pair Ratio : 0.0380971180418476
Reciprocated Edge Ratio : 0.0733979844076821
Connected Components : 773
Single-Vertex Connected Components : 410
Maximum Vertices in a Connected Component : 1956
Maximum Edges in a Connected Component : 6121
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.058454
Graph Density : 0.000281340496789862
Modularity : 0.456185
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,324 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 17:13 UTC.
The tweets in the network were tweeted over the 3144-day, 22-hour, 16-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 04 March 2023 at 07:30 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:
[422] sugar,tax [238] #sugartax,#plastictax [233] sugary,drinks [163] soft,drinks [161] sugar,salt [149] south,africa [147] sugar,sweetened [144] nel,2022 [138] #plastictax,#sugartax [132] 2022,grazie Top Word Pairs in Tweet in G1:
[92] sugar,tax [25] sugar,salt [19] #sugartax,#salttax [16] soft,drinks [16] tax,sugar [11] liz,truss [10] south,africa [9] #plastictax,#sugartax [9] fruit,veg [9] sugary,drinks Top Word Pairs in Tweet in G2:
[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 G3:
[53] sugar,tax [33] soft,drinks [19] things,know [19] know,food_strategy [17] artificial,sweeteners [15] five,things [15] food_strategy,proposal [14] #junkfood,tax [13] proposal,#junkfood [12] tax,actiononsugar Top Word Pairs in Tweet in G4:
[141] 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 G5:
[96] uk,#sugartax [75] sugar,drinks [75] less,sugar [73] #sugartax,working [73] important,research [73] working,people [73] people,getting [73] getting,less [73] bmj,uk [73] today's,bmj Top Word Pairs in Tweet in G6:
[130] #sugartax,#plastictax [127] sensibilità,premier [127] nel,2022 [127] 2022,grazie [126] matteosalvinimi,niente [126] grazie,impegno [126] impegno,lega [126] #plastictax,nel [126] niente,#sugartax [126] alle,sensibilità Top Word Pairs in Tweet in G7:
[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 G8:
[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 G9:
[92] food,poverty [90] sugar,salt [90] more,expensive [87] sugary,salty [86] salt,taxes [86] salty,foods [86] diet,making [86] foods,more [86] making,sugary [86] solve,food 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 G2:
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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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: