The graph represents a network of 4,273 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 17:27 UTC.
The tweets in the network were tweeted over the 3117-day, 6-hour, 54-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 04 February 2023 at 16:08 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 : 4273
Unique Edges : 3199
Edges With Duplicates : 8113
Total Edges : 11312
Number of Edge Types : 9
Retweet : 2865
MentionsInRetweet : 4035
Mentions : 1089
Replies to : 624
MentionsInReplyTo : 978
Tweet : 1232
Quote : 217
MentionsInQuote : 236
MentionsInQuoteReply : 36
Self-Loops : 1685
Reciprocated Vertex Pair Ratio : 0.0409345047923323
Reciprocated Edge Ratio : 0.0786495300211011
Connected Components : 776
Single-Vertex Connected Components : 407
Maximum Vertices in a Connected Component : 1811
Maximum Edges in a Connected Component : 5788
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.293351
Graph Density : 0.000285577237439861
Modularity : 0.458251
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,273 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 17:27 UTC.
The tweets in the network were tweeted over the 3117-day, 6-hour, 54-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 04 February 2023 at 16:08 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:
[417] sugar,tax [239] #sugartax,#plastictax [236] sugary,drinks [184] sugar,sweetened [158] sugar,salt [156] soft,drinks [148] south,africa [145] nel,2022 [137] #plastictax,#sugartax [133] 2022,grazie Top Word Pairs in Tweet in G1:
[91] sugar,tax [25] sugar,salt [19] #sugartax,#salttax [16] soft,drinks [16] tax,sugar [11] south,africa [11] liz,truss [10] more,expensive [9] #plastictax,#sugartax [9] fruit,veg Top Word Pairs in Tweet in G2:
[112] assobibe,#sugartax [80] delle,bevande [79] #plastictax,#sugartax [71] #sugartax,tassa [70] bevande,analcoliche [69] #sugartax,#plastictax [67] buon,senso [58] imprese,settore [54] delle,imprese [53] vigore,#sugartax Top Word Pairs in Tweet in G3:
[39] sugar,tax [29] soft,drinks [17] things,know [17] know,food_strategy [13] five,things [13] food_strategy,proposal [13] scrap,sugar [12] another,opinion [12] #junkfood,tax [12] sugar,sweetened Top Word Pairs in Tweet in G4:
[138] sugary,drinks [126] south,africa [68] coke,south [68] craving,coke [67] promotion,levy [62] #sugartax,counter [62] counter,addictive [62] used,#sugartax [62] africa,used [62] addictive,nature Top Word Pairs in Tweet in G5:
[100] uk,#sugartax [76] sugar,drinks [75] less,sugar [74] #sugartax,working [74] important,research [74] working,people [74] people,getting [74] getting,less [74] bmj,uk [74] today's,bmj 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:
[18] week,#sugartax [18] #sugartax,essential [18] australia,restricting [18] phaa,welcomes [18] essential,tool [18] welcomes,calls [18] #obesity,australia [18] calls,week [18] preventing,#obesity [18] tool,preventing Top Word Pairs in Tweet in G8:
[61] pro,health [41] health,taxes [38] health,financing [36] sugar,sweetened [32] webinar,series [31] nigeria,pro [31] policy,dialogue [30] series,nigeria [29] sector,stakeholders [29] key,sector Top Word Pairs in Tweet in G9:
[91] food,poverty [89] sugar,salt [89] more,expensive [86] sugary,salty [85] salt,taxes [85] salty,foods [85] diet,making [85] foods,more [85] making,sugary [85] solve,food Top Word Pairs in Tweet in G10:
[45] implemented,more [45] taxes,sugar [45] beverages,implemented [45] #ssb,taxes [45] 73,countries [45] sugar,sweetened [45] more,73 [45] countries,#ssb [45] sweetened,beverages [44] ncdalliance,taxes Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: