The graph represents a network of 219 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 Thursday, 15 August 2019 at 23:49 UTC.
The requested start date was Wednesday, 14 August 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 19-hour, 10-minute period from Wednesday, 31 July 2019 at 03:51 UTC to Tuesday, 13 August 2019 at 23:02 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 : 219
Unique Edges : 238
Edges With Duplicates : 44
Total Edges : 282
Number of Edge Types : 3
Mentions : 198
Tweet : 59
Replies to : 25
Self-Loops : 59
Reciprocated Vertex Pair Ratio : 0.0564102564102564
Reciprocated Edge Ratio : 0.106796116504854
Connected Components : 72
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 39
Maximum Edges in a Connected Component : 69
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.450225
Graph Density : 0.00431485903397428
Modularity : 0.714753
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[16] alarming,read [16] read,scale [16] scale,impact [16] impact,#diabetes [16] #diabetes,nz [16] nz,close [16] close,1 [16] 1,000 [16] 000,amputations [16] amputations,year Top Word Pairs in Tweet in G1:
[8] sugar,tax [3] success,sugar [3] call,'calorie [3] 'calorie,tax' [2] food,firms [2] levy,#sugartax [2] widely,considered [2] considered,success [2] tax,inspired [2] inspired,campaigners Top Word Pairs in Tweet in G2:
[14] #sugartax,political [14] political,issue [14] issue,day [14] day,borisjohnson [14] borisjohnson,ducked [14] ducked,dived [14] dived,put [14] put,himself [13] louhaigh,#sugartax [13] himself,top Top Word Pairs in Tweet in G3:
[6] here,netherlands [5] ministry,health [5] health,welfare [5] welfare,sport [5] sport,minvws [5] minvws,choose [5] choose,unfortunately [5] joggnl,dutch [4] netherlands,ministry [4] dutch,'epode Top Word Pairs in Tweet in G4:
[16] alarming,read [16] read,scale [16] scale,impact [16] impact,#diabetes [16] #diabetes,nz [16] nz,close [16] close,1 [16] 1,000 [16] 000,amputations [16] amputations,year Top Word Pairs in Tweet in G6:
[10] actiononsugar,actiononsalt [5] actiononsalt,calling [5] calling,#sugartax [5] #sugartax,includes [5] includes,drinks [5] drinks,extended [5] extended,high [5] calorie,levy [5] call,levy [5] levy,manufacturers Top Word Pairs in Tweet in G7:
[2] bolder,actions' [2] actions',required [2] required,tackle [2] tackle,#obesity [2] #obesity,crisis [2] crisis,food [2] food,taxes [2] taxes,subsidies [2] subsidies,answer [2] answer,who_europe Top Word Pairs in Tweet in G8:
[4] 2,years [4] years,#sugarreduction [4] #sugarreduction,programme [4] programme,introduced [4] introduced,1 [4] 1,year [4] year,#caloriereduction [3] #caloriereduction,programme [3] #sugartax,#childhoodobesity [2] calorie,sugar Top Word Pairs in Tweet in G9:
[3] ugggh,temporarily [3] temporarily,forgot [3] forgot,soft [3] soft,drinks [3] drinks,uk [3] uk,ruined [3] ruined,artificial [3] artificial,sweeteners [3] sweeteners,now [3] now,bought Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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