The graph represents a network of 2,916 Twitter users whose tweets in the requested range contained "soda tax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 07:25 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 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, 22-hour, 41-minute period from Monday, 18 November 2019 at 02:17 UTC to Monday, 02 December 2019 at 00:59 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 : 2916
Unique Edges : 3447
Edges With Duplicates : 400
Total Edges : 3847
Number of Edge Types : 3
Mentions : 2849
Replies to : 616
Tweet : 382
Self-Loops : 382
Reciprocated Vertex Pair Ratio : 0.0135844396418648
Reciprocated Edge Ratio : 0.0268047517514468
Connected Components : 547
Single-Vertex Connected Components : 228
Maximum Vertices in a Connected Component : 1432
Maximum Edges in a Connected Component : 1899
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.656684
Graph Density : 0.000386228932699932
Modularity : 0.831929
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,916 Twitter users whose tweets in the requested range contained "soda tax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 December 2019 at 07:25 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 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, 22-hour, 41-minute period from Monday, 18 November 2019 at 02:17 UTC to Monday, 02 December 2019 at 00:59 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : soda tax
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:
[779] tax,poor [699] poor,afford [696] good,tax [692] afford,things [556] soda,tax [368] bloomberg,good [367] things,hurt [363] hurt,soda [335] things,soda [326] soda,cause Top Word Pairs in Tweet in G1:
[319] bloomberg,once [319] once,good [319] good,tax [319] tax,poor [319] poor,afford [319] afford,things [319] things,soda [319] soda,cause [319] cause,obesity [319] obesity,bet Top Word Pairs in Tweet in G2:
[80] tax,poor [66] soda,tax [64] poor,afford [61] good,tax [61] afford,things [61] things,hurt [61] hurt,soda [60] bloomberg,good [18] live,longer [17] poor,people Top Word Pairs in Tweet in G3:
[173] good,tax [173] tax,poor [173] poor,afford [173] afford,things [170] according,bloomberg [170] bloomberg,good [170] things,hurt [170] hurt,soda [169] telesurenglish,according [169] soda,ht Top Word Pairs in Tweet in G4:
[80] curtissheehan,marclamonthill [80] lower,income [78] marclamonthill,thought [78] thought,process [78] process,going [78] going,raise [78] raise,sales [78] sales,tax [78] tax,soda's [78] soda's,lower Top Word Pairs in Tweet in G5:
[33] soda,tax [8] tax,soda [5] sxdoc,tells [5] tells,helping [5] helping,really [5] really,helping [5] helping,self [5] self,wile [5] wile,fall [5] fall,cracks Top Word Pairs in Tweet in G6:
[114] found,much [114] much,cost [114] cost,tax [114] tax,being [114] being,passed [114] passed,along [114] along,consumers [114] consumers,consumption [114] consumption,significantly [114] significantly,dropping Top Word Pairs in Tweet in G7:
[28] soda,tax [27] physicaloasis,odonnell_r [26] humanityruls,physicaloasis [15] tax,poor [12] odonnell_r,given [12] given,control [12] control,country [12] country,think [12] think,going [12] going,stop Top Word Pairs in Tweet in G8:
[8] atomskssanakan,itstheatmospher [8] stevenmosher,robhon_ [7] otvenerkicn,spock246 [7] spock246,reddragonfly19 [7] reddragonfly19,atomskssanakan [7] itstheatmospher,stevenmosher [6] robhon_,tracemetalclean [6] tracemetalclean,theclimatehawk [6] theclimatehawk,twtthisisnow [6] twtthisisnow,otvenerkicn Top Word Pairs in Tweet in G9:
[92] お気づきでしょうか,甘い飲み物をやめるべきことが [92] 甘い飲み物をやめるべきことが,日本では [92] 日本では,無視されている [92] 無視されている,糖尿病専門医 [92] 糖尿病専門医,肝臓専門医 [92] 肝臓専門医,にとって [92] にとって,最優先指導ポイント [92] 最優先指導ポイント,にもかかわらず [92] にもかかわらず,です [92] です,ソーダ税 Top Word Pairs in Tweet in G10:
[76] bloomberg,good [76] good,tax [76] tax,poor [76] poor,afford [76] afford,things [76] things,hurt [76] hurt,soda [73] redstate,bloomberg [5] study,shoppers [5] shoppers,bear Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: