The graph represents a network of 2,706 Twitter users whose tweets in the requested range contained "sugartax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 July 2019 at 18:11 UTC.
The requested start date was Monday, 15 July 2019 at 11:10 UTC and the maximum number of tweets (going backward in time) was 10,000.
The tweets in the network were tweeted over the 75-day, 6-hour, 31-minute period from Wednesday, 01 May 2019 at 02:48 UTC to Monday, 15 July 2019 at 09:20 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 2764
Unique Edges : 4512
Edges With Duplicates : 9796
Total Edges : 14308
Number of Edge Types : 3
Mentions : 12991
Replies to : 647
Tweet : 670
Self-Loops : 670
Reciprocated Vertex Pair Ratio : 0.0758034026465028
Reciprocated Edge Ratio : 0.140924266385521
Connected Components : 447
Single-Vertex Connected Components : 257
Maximum Vertices in a Connected Component : 1654
Maximum Edges in a Connected Component : 11966
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.13188
Graph Density : 0.000745194536235232
Modularity : 0.342884
NodeXL Version : 1.0.1.415
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[384] borisjohnson,taxes [384] unhealthy,foods [383] lack,evidence [382] taxes,unhealthy [381] foods,reviewed [381] reviewed,citing [381] citing,lack [371] admbriggs,thread [371] thread,today [371] today,borisjohnson Top Word Pairs in Tweet in G1:
[363] borisjohnson,taxes [361] lack,evidence [360] taxes,unhealthy [360] unhealthy,foods [360] foods,reviewed [360] reviewed,citing [360] citing,lack [351] thread,today [351] today,borisjohnson [351] evidence,s Top Word Pairs in Tweet in G2:
[33] sugar,tax [15] sugar,baby [12] boris,johnson [11] looking,forward [11] forward,loyal [11] loyal,sugar [11] baby,spoil [11] spoil,well [11] well,pay [11] pay,bills Top Word Pairs in Tweet in G3:
[58] boris,johnson [40] sugar,levy [30] today's,telegraph [29] food,drink [28] bmj_latest,news [28] happy,see [28] last,week [28] week,boris [28] johnson,called [28] called,review Top Word Pairs in Tweet in G4:
[41] juan,rivera [37] rivera,inspmx [30] dr,juan [25] sugary,drinks [23] sugary,drink [16] drink,consumption [14] make,#foodgovernance2019 [14] #foodgovernance2019,still [14] still,dose [14] dose,food Top Word Pairs in Tweet in G5:
[18] boris,johnson [17] johnson,s [14] taxes,help [13] tackle,obesity [12] fizzy,drinks [12] s,unsure [12] unsure,faith [12] faith,taxes [12] help,tackle [12] obesity,l_cornelsen Top Word Pairs in Tweet in G6:
[101] pls,share [101] share,lisa [101] lisa,raitt [101] raitt,conservative [101] conservative,100 [101] 100,oppose [101] oppose,sugar [101] sugar,tax [101] tax,soft [101] soft,drinks Top Word Pairs in Tweet in G7:
[166] annlewi17877162,anthonysjustice [166] jones_celia,drwjl [166] medicinegovste,phsothefacts [166] carriemaisie,mariekelly201 [166] _beltie,mikecollins_61 [165] mikecollins_61,alexander_minh [165] alexander_minh,bobbydoel13 [165] bobbydoel13,jupitere000 [165] imonlyslightly,wussydoc [163] russelldunkeld,forseysue Top Word Pairs in Tweet in G8:
[17] matt,hancock [17] sugar,tax [16] eddie,mair [16] mair,wanted [16] wanted,speak [16] speak,matt [16] hancock,boris [16] boris,johnson's [16] johnson's,sugar [16] tax,proposals Top Word Pairs in Tweet in G9:
[54] ha,tengok [54] tengok,ni [54] ni,prices [54] prices,nestle [54] nestle,canned [54] canned,bottled [54] bottled,drinks [54] drinks,sold [54] sold,mamak [54] mamak,stores Top Word Pairs in Tweet in G10:
[6] bubble,milk [6] milk,tea [6] tea,21tsp [6] 21tsp,sugar [6] sugar,#sugartax [6] #sugartax,#diabetes [5] soft,drinks [5] drinks,industry [5] industry,levy [5] levy,k Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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