The graph represents a network of 5,587 Twitter users whose recent tweets contained "sugar health", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 25 May 2019 at 15:20 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 40-minute period from Wednesday, 15 May 2019 at 23:13 UTC to Saturday, 25 May 2019 at 14:54 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 : 5587
Unique Edges : 5572
Edges With Duplicates : 819
Total Edges : 6391
Self-Loops : 1853
Reciprocated Vertex Pair Ratio : 0.0136986301369863
Reciprocated Edge Ratio : 0.027027027027027
Connected Components : 1835
Single-Vertex Connected Components : 1081
Maximum Vertices in a Connected Component : 1223
Maximum Edges in a Connected Component : 1853
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.101295
Graph Density : 0.000139895623638092
Modularity : 0.765024
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[932] blood,sugar [424] sugar,3 [401] now,#gameofthrones [401] #gameofthrones,ended [401] ended,here [401] here,things [401] things,watch [401] watch,1 [401] 1,cholesterol [401] cholesterol,2 Top Word Pairs in Tweet in G1:
[195] blood,sugar [68] much,sugar [46] health,benefits [41] sugar,levels [36] processed,foods [33] added,sugar [32] sugar,actually [32] sugary,drinks [32] blood,pressure [31] mental,health Top Word Pairs in Tweet in G2:
[401] now,#gameofthrones [401] #gameofthrones,ended [401] ended,here [401] here,things [401] things,watch [401] watch,1 [401] 1,cholesterol [401] cholesterol,2 [401] 2,blood [401] blood,sugar Top Word Pairs in Tweet in G3:
[129] fruit,juice [90] vegetable,oils [84] red,meat [83] 1st,ingredient [83] ingredient,refined [83] refined,flour [83] flour,2nd [83] 2nd,ingredient [83] ingredient,sugar [83] sugar,australian Top Word Pairs in Tweet in G4:
[50] sugar,doughnut [49] up,ten [49] ten,times [47] healthy,smoothies [47] smoothies,up [47] times,sugar [42] doughnut,mailonline [35] actiononsugar,healthy [31] massive,massive [31] massive,finding Top Word Pairs in Tweet in G5:
[63] blood,sugar [57] sugar,more [56] higher,blood [56] more,damage [56] damage,caused [56] caused,telomere [56] telomere,associated [56] associated,dna [56] dna,undamaged [56] undamaged,telomeres Top Word Pairs in Tweet in G6:
[56] sweetened,beverage [56] beverage,tax [55] 38,drop [53] new,study [51] study,jama_current [51] jama_current,shows [51] shows,philly [51] philly,s [51] s,sweetened [51] tax,#sodatax Top Word Pairs in Tweet in G7:
[32] tobacco,alcohol [24] health,taxes [22] taxes,tobacco [21] michael,borowitz [21] borowitz,health [21] alcohol,sugar [21] sugar,core [21] core,structural [21] structural,interventions [21] interventions,hiv Top Word Pairs in Tweet in G8:
[13] lord_sugar,jeremycorbyn [10] lord_sugar,huawei [7] mental,health [7] introducing,new [7] new,range [7] range,buzbeesb [7] buzbeesb,compliment [7] compliment,gin [7] gin,vodka [7] vodka,range Top Word Pairs in Tweet in G9:
[2] sugar,carbs Top Word Pairs in Tweet in G10:
[21] take,closer [21] closer,look [21] look,sugar [21] sugar,mess [21] mess,health [21] health,head [21] head,toe [21] warning,signs [20] webmd,take [20] want,need Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: