The graph represents a network of 4,343 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 17:12 UTC.
The tweets in the network were tweeted over the 3131-day, 5-hour, 11-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 18 February 2023 at 14:24 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 : 4343
Unique Edges : 3278
Edges With Duplicates : 8172
Total Edges : 11450
Number of Edge Types : 9
Retweet : 2845
MentionsInRetweet : 3941
Mentions : 1080
Replies to : 677
MentionsInReplyTo : 1052
Quote : 256
Tweet : 1242
MentionsInQuote : 241
MentionsInQuoteReply : 116
Self-Loops : 1713
Reciprocated Vertex Pair Ratio : 0.03818288623458
Reciprocated Edge Ratio : 0.0735571482459449
Connected Components : 763
Single-Vertex Connected Components : 405
Maximum Vertices in a Connected Component : 2014
Maximum Edges in a Connected Component : 6231
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.854452
Graph Density : 0.000281164234170035
Modularity : 0.456594
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,343 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 17:12 UTC.
The tweets in the network were tweeted over the 3131-day, 5-hour, 11-minute period from Thursday, 24 July 2014 at 09:13 UTC to Saturday, 18 February 2023 at 14:24 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 [231] sugary,drinks [183] sugar,sweetened [164] soft,drinks [161] sugar,salt [147] south,africa [145] nel,2022 [138] #plastictax,#sugartax [133] 2022,grazie Top Word Pairs in Tweet in G1:
[102] uk,#sugartax [82] less,sugar [78] sugar,drinks [76] working,people [76] important,research [75] getting,less [75] bmj,uk [75] today's,bmj [75] people,getting [75] #sugartax,working Top Word Pairs in Tweet in G2:
[91] 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 G3:
[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 G4:
[138] sugary,drinks [127] south,africa [68] coke,south [68] craving,coke [66] promotion,levy [62] #sugartax,counter [62] counter,addictive [62] used,#sugartax [62] africa,used [62] addictive,nature Top Word Pairs in Tweet in G5:
[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 G6:
[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 G7:
[62] pro,health [41] health,taxes [38] health,financing [36] sugar,sweetened [32] webinar,series [31] nigeria,pro [31] policy,dialogue [30] sector,stakeholders [30] key,sector [30] series,nigeria Top Word Pairs in Tweet in G8:
[92] food,poverty [90] more,expensive [90] sugar,salt [87] sugary,salty [86] salt,taxes [86] foods,more [86] poverty,poor [86] don,solve [86] salty,foods [86] diet,making Top Word Pairs in Tweet in G9:
[31] 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:
[46] implemented,more [46] taxes,sugar [46] beverages,implemented [46] #ssb,taxes [46] 73,countries [46] sugar,sweetened [46] more,73 [46] countries,#ssb [46] sweetened,beverages [45] ncdalliance,taxes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: